diff --git a/.env.example b/.env.example
new file mode 100644
index 0000000..994e28a
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,2 @@
+OPENAI_KEY=your-openai-api-key
+PYANNOTE_TOKEN=your-pyannote-api-token
\ No newline at end of file
diff --git a/.python-version b/.python-version
new file mode 100644
index 0000000..0c7d5f5
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.11.4
diff --git a/config/default_config.yaml b/config/default_config.yaml
new file mode 100644
index 0000000..3554fb0
--- /dev/null
+++ b/config/default_config.yaml
@@ -0,0 +1,28 @@
+# API Costs
+api_costs:
+  whisper:
+    cost_per_minute: 0.006  # USD per minute for Whisper
+  pyannote:
+    cost_per_hour: 0.18     # USD per hour for diarization
+
+# Logging Configuration
+logging:
+  log_directory: "logs"
+  max_log_size: 10485760      # 10 MB in bytes
+  backup_count: 5
+
+# Model Configuration
+model:
+  default_model_id: "openai/whisper-large-v3"
+
+# Supported Services
+supported_upload_services:
+  - "0x0.st"
+  - "file.io"
+
+# Timeout Settings (in seconds)
+timeouts:
+  download_timeout: 120
+  upload_timeout: 120
+  diarization_timeout: 3600
+  job_status_timeout: 60
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..5f83193
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,1530 @@
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+
+[[package]]
+name = "accelerate"
+version = "1.0.0"
+description = "Accelerate"
+optional = false
+python-versions = ">=3.8.0"
+files = [
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+]
+
+[package.dependencies]
+huggingface-hub = ">=0.21.0"
+numpy = ">=1.17,<3.0.0"
+packaging = ">=20.0"
+psutil = "*"
+pyyaml = "*"
+safetensors = ">=0.4.3"
+torch = ">=1.10.0"
+
+[package.extras]
+deepspeed = ["deepspeed"]
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+quality = ["black (>=23.1,<24.0)", "hf-doc-builder (>=0.3.0)", "ruff (>=0.6.4,<0.7.0)"]
+rich = ["rich"]
+sagemaker = ["sagemaker"]
+test-dev = ["bitsandbytes", "datasets", "diffusers", "evaluate", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+test-prod = ["parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist"]
+test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
+testing = ["bitsandbytes", "datasets", "diffusers", "evaluate", "parameterized", "pytest (>=7.2.0,<=8.0.0)", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "torchdata (>=0.8.0)", "torchpippy (>=0.2.0)", "tqdm", "transformers"]
+
+[[package]]
+name = "certifi"
+version = "2024.8.30"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
+[[package]]
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+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.11.4"
+content-hash = "59b81aa1f5db9fa33ddcca8959f9e9e7d1abd1f81d0c29c82bd4250d19c0fdd4"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..6436b9a
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,32 @@
+[tool.poetry]
+name = "yawt"
+version = "0.1.0"
+description = "YAWT (Yet Another Whisper-based Transcriber) is a transcription tool that leverages OpenAI's Whisper model to deliver accurate and efficient audio-to-text conversion."
+authors = ["Yaniv Golan <yaniv@golan.name>"]
+packages = [{ include = "yawt", from = "src" }]
+
+[tool.poetry.dependencies]
+python = "^3.11.4"
+torch = "^2.1.0"
+transformers = ">=4.35.0"
+tqdm = ">=4.66.0"
+python-dotenv = ">=1.0.0"
+ffmpeg-python = ">=0.2.0"
+numpy = ">=1.21.0"
+requests = ">=2.31.0"
+requests-toolbelt = ">=0.10.1"
+accelerate = ">=0.26.0"
+srt = ">=3.0.0"
+pyyaml = ">=6.0"
+
+[tool.poetry.dev-dependencies]
+pytest = "^7.0"
+pytest-mock = "^3.10.0"
+pytest-cov = "^4.0.0"
+
+[build-system]
+requires = ["poetry-core>=1.0.0"]
+build-backend = "poetry.core.masonry.api"
+
+[tool.poetry.scripts]
+yawt = "yawt.main:main"
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 7aedf95..1d7e644 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,11 +1,733 @@
-torch>=2.0.0
-transformers>=4.35.0
-tqdm>=4.66.0
-python-dotenv>=1.0.0
-ffmpeg-python>=0.2.0
-numpy>=1.21.0
-requests>=2.31.0
-requests-toolbelt>=0.10.1
-accelerate>=0.26.0
-srt>=3.0.0 
-pyyaml>=6.0
+accelerate==1.0.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:6fc65cd7a43c41530e3cf8ffb1fbe3ac6e416ec3f4c9a55ddf407d374b887b68 \
+    --hash=sha256:e39c99327d37c4583b4e6b70946915072b56f892836942eca22e1d25b71d6d4b
+certifi==2024.8.30 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:922820b53db7a7257ffbda3f597266d435245903d80737e34f8a45ff3e3230d8 \
+    --hash=sha256:bec941d2aa8195e248a60b31ff9f0558284cf01a52591ceda73ea9afffd69fd9
+charset-normalizer==3.4.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:0099d79bdfcf5c1f0c2c72f91516702ebf8b0b8ddd8905f97a8aecf49712c621 \
+    --hash=sha256:0713f3adb9d03d49d365b70b84775d0a0d18e4ab08d12bc46baa6132ba78aaf6 \
+    --hash=sha256:07afec21bbbbf8a5cc3651aa96b980afe2526e7f048fdfb7f1014d84acc8b6d8 \
+    --hash=sha256:0b309d1747110feb25d7ed6b01afdec269c647d382c857ef4663bbe6ad95a912 \
+    --hash=sha256:0d99dd8ff461990f12d6e42c7347fd9ab2532fb70e9621ba520f9e8637161d7c \
+    --hash=sha256:0de7b687289d3c1b3e8660d0741874abe7888100efe14bd0f9fd7141bcbda92b \
+    --hash=sha256:1110e22af8ca26b90bd6364fe4c763329b0ebf1ee213ba32b68c73de5752323d \
+    --hash=sha256:130272c698667a982a5d0e626851ceff662565379baf0ff2cc58067b81d4f11d \
+    --hash=sha256:136815f06a3ae311fae551c3df1f998a1ebd01ddd424aa5603a4336997629e95 \
+    --hash=sha256:14215b71a762336254351b00ec720a8e85cada43b987da5a042e4ce3e82bd68e \
+    --hash=sha256:1db4e7fefefd0f548d73e2e2e041f9df5c59e178b4c72fbac4cc6f535cfb1565 \
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+    --hash=sha256:ffc519621dce0c767e96b9c53f09c5d215578e10b02c285809f76509a3931482
+colorama==0.4.6 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" and platform_system == "Windows" \
+    --hash=sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44 \
+    --hash=sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6
+ffmpeg-python==0.2.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:65225db34627c578ef0e11c8b1eb528bb35e024752f6f10b78c011f6f64c4127 \
+    --hash=sha256:ac441a0404e053f8b6a1113a77c0f452f1cfc62f6344a769475ffdc0f56c23c5
+filelock==3.16.1 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0 \
+    --hash=sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435
+fsspec==2024.9.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:4b0afb90c2f21832df142f292649035d80b421f60a9e1c027802e5a0da2b04e8 \
+    --hash=sha256:a0947d552d8a6efa72cc2c730b12c41d043509156966cca4fb157b0f2a0c574b
+future==1.0.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216 \
+    --hash=sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05
+huggingface-hub==0.25.2 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:1897caf88ce7f97fe0110603d8f66ac264e3ba6accdf30cd66cc0fed5282ad25 \
+    --hash=sha256:a1014ea111a5f40ccd23f7f7ba8ac46e20fa3b658ced1f86a00c75c06ec6423c
+idna==3.10 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
+    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
+jinja2==3.1.4 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:4a3aee7acbbe7303aede8e9648d13b8bf88a429282aa6122a993f0ac800cb369 \
+    --hash=sha256:bc5dd2abb727a5319567b7a813e6a2e7318c39f4f487cfe6c89c6f9c7d25197d
+markupsafe==3.0.1 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:0778de17cff1acaeccc3ff30cd99a3fd5c50fc58ad3d6c0e0c4c58092b859396 \
+    --hash=sha256:0f84af7e813784feb4d5e4ff7db633aba6c8ca64a833f61d8e4eade234ef0c38 \
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+    --hash=sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f \
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+networkx==3.3 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:0c127d8b2f4865f59ae9cb8aafcd60b5c70f3241ebd66f7defad7c4ab90126c9 \
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+    --hash=sha256:05b2d4e667895cc55e3ff2b56077e4c8a5604361fc21a042845ea3ad67465aa8 \
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+    --hash=sha256:fc44e3c68ff00fd991b59092a54350e6e4911152682b4782f68070985aa9e648
+nvidia-cublas-cu12==12.1.3.1 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906 \
+    --hash=sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728
+nvidia-cuda-cupti-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4 \
+    --hash=sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e
+nvidia-cuda-nvrtc-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed \
+    --hash=sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2
+nvidia-cuda-runtime-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40 \
+    --hash=sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344
+nvidia-cudnn-cu12==9.1.0.70 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f \
+    --hash=sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a
+nvidia-cufft-cu12==11.0.2.54 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56 \
+    --hash=sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253
+nvidia-curand-cu12==10.3.2.106 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a \
+    --hash=sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0
+nvidia-cusolver-cu12==11.4.5.107 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5 \
+    --hash=sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd
+nvidia-cusparse-cu12==12.1.0.106 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a \
+    --hash=sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c
+nvidia-nccl-cu12==2.20.5 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56 \
+    --hash=sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01
+nvidia-nvjitlink-cu12==12.6.77 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:3bf10d85bb1801e9c894c6e197e44dd137d2a0a9e43f8450e9ad13f2df0dd52d \
+    --hash=sha256:410718cd44962bed862a31dd0318620f6f9a8b28a6291967bcfcb446a6516771 \
+    --hash=sha256:9ae346d16203ae4ea513be416495167a0101d33d2d14935aa9c1829a3fb45142
+nvidia-nvtx-cu12==12.1.105 ; platform_system == "Linux" and platform_machine == "x86_64" and python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82 \
+    --hash=sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5
+packaging==24.1 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002 \
+    --hash=sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124
+psutil==6.0.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:02b69001f44cc73c1c5279d02b30a817e339ceb258ad75997325e0e6169d8b35 \
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+    --hash=sha256:a021da3e881cd935e64a3d0a20983bda0bb4cf80e4f74fa9bfcb1bc5785360c6 \
+    --hash=sha256:a495580d6bae27291324fe60cea0b5a7c23fa36a7cd35035a16d93bdcf076b9d \
+    --hash=sha256:a9a3dbfb4de4f18174528d87cc352d1f788b7496991cca33c6996f40c9e3c92c \
+    --hash=sha256:c588a7e9b1173b6e866756dde596fd4cad94f9399daf99ad8c3258b3cb2b47a0 \
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+    --hash=sha256:fc8c9510cde0146432bbdb433322861ee8c3efbf8589865c8bf8d21cb30c4d14 \
+    --hash=sha256:ffe7fc9b6b36beadc8c322f84e1caff51e8703b88eee1da46d1e3a6ae11b4fd0
+python-dotenv==1.0.1 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:e324ee90a023d808f1959c46bcbc04446a10ced277783dc6ee09987c37ec10ca \
+    --hash=sha256:f7b63ef50f1b690dddf550d03497b66d609393b40b564ed0d674909a68ebf16a
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+    --hash=sha256:01179a4a8559ab5de078078f37e5c1a30d76bb88519906844fd7bdea1b7729ff \
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+    --hash=sha256:ff3824dc5261f50c9b0dfb3be22b4567a6f938ccce4587b38952d85fd9e9afe4
+regex==2024.9.11 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:01c2acb51f8a7d6494c8c5eafe3d8e06d76563d8a8a4643b37e9b2dd8a2ff623 \
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+    --hash=sha256:faa3c142464efec496967359ca99696c896c591c56c53506bac1ad465f66e919
+requests-toolbelt==1.0.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:7681a0a3d047012b5bdc0ee37d7f8f07ebe76ab08caeccfc3921ce23c88d5bc6 \
+    --hash=sha256:cccfdd665f0a24fcf4726e690f65639d272bb0637b9b92dfd91a5568ccf6bd06
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+    --hash=sha256:55365417734eb18255590a9ff9eb97e9e1da868d4ccd6402399eaf68af20a760 \
+    --hash=sha256:70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6
+safetensors==0.4.5 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:01c8f00da537af711979e1b42a69a8ec9e1d7112f208e0e9b8a35d2c381085ef \
+    --hash=sha256:023b6e5facda76989f4cba95a861b7e656b87e225f61811065d5c501f78cdb3f \
+    --hash=sha256:09566792588d77b68abe53754c9f1308fadd35c9f87be939e22c623eaacbed6b \
+    --hash=sha256:098923e2574ff237c517d6e840acada8e5b311cb1fa226019105ed82e9c3b62f \
+    --hash=sha256:09dedf7c2fda934ee68143202acff6e9e8eb0ddeeb4cfc24182bef999efa9f42 \
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+    --hash=sha256:dde2bf390d25f67908278d6f5d59e46211ef98e44108727084d4637ee70ab4f1 \
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+    --hash=sha256:e7a97058f96340850da0601a3309f3d29d6191b0702b2da201e54c6e3e44ccf0 \
+    --hash=sha256:e98ef5524f8b6620c8cdef97220c0b6a5c1cef69852fcd2f174bb96c2bb316b1 \
+    --hash=sha256:f0b6453c54c57c1781292c46593f8a37254b8b99004c68d6c3ce229688931a22 \
+    --hash=sha256:f3664ac565d0e809b0b929dae7ccd74e4d3273cd0c6d1220c6430035befb678e \
+    --hash=sha256:f4b15f51b4f8f2a512341d9ce3475cacc19c5fdfc5db1f0e19449e75f95c7dc8 \
+    --hash=sha256:f4beb84b6073b1247a773141a6331117e35d07134b3bb0383003f39971d414bb \
+    --hash=sha256:f6594d130d0ad933d885c6a7b75c5183cb0e8450f799b80a39eae2b8508955eb \
+    --hash=sha256:f68bf99ea970960a237f416ea394e266e0361895753df06e3e06e6ea7907d98b \
+    --hash=sha256:fd33da8e9407559f8779c82a0448e2133737f922d71f884da27184549416bfed \
+    --hash=sha256:fdadf66b5a22ceb645d5435a0be7a0292ce59648ca1d46b352f13cff3ea80410
+setuptools==75.1.0 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:35ab7fd3bcd95e6b7fd704e4a1539513edad446c097797f2985e0e4b960772f2 \
+    --hash=sha256:d59a21b17a275fb872a9c3dae73963160ae079f1049ed956880cd7c09b120538
+srt==3.5.3 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:4884315043a4f0740fd1f878ed6caa376ac06d70e135f306a6dc44632eed0cc0
+sympy==1.13.3 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:54612cf55a62755ee71824ce692986f23c88ffa77207b30c1368eda4a7060f73 \
+    --hash=sha256:b27fd2c6530e0ab39e275fc9b683895367e51d5da91baa8d3d64db2565fec4d9
+tokenizers==0.20.1 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:02e18da58cf115b7c40de973609c35bde95856012ba42a41ee919c77935af251 \
+    --hash=sha256:03b03cf8b9a32254b1bf8a305fb95c6daf1baae0c1f93b27f2b08c9759f41dee \
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+    --hash=sha256:689b93d2e26d04da337ac407acec8b5d081d8d135e3e5066a88edd5bdb5aff89 \
+    --hash=sha256:6d3ac5c1f48358ffe20086bf065e843c0d0a9fce0d7f0f45d5f2f9fba3609ca5 \
+    --hash=sha256:712f90ea33f9bd2586b4a90d697c26d56d0a22fd3c91104c5858c4b5b6489a79 \
+    --hash=sha256:741fb22788482d09d68e73ece1495cfc6d9b29a06c37b3df90564a9cfa688e6d \
+    --hash=sha256:7cdf379219e1e1dd432091058dab325a2e6235ebb23e0aec8d0508567c90cd01 \
+    --hash=sha256:81970b80b8ac126910295f8aab2d7ef962009ea39e0d86d304769493f69aaa1e \
+    --hash=sha256:84edcc7cdeeee45ceedb65d518fffb77aec69311c9c8e30f77ad84da3025f002 \
+    --hash=sha256:86dcd08da163912e17b27bbaba5efdc71b4fbffb841530fdb74c5707f3c49216 \
+    --hash=sha256:88b3bc76ab4db1ab95ead623d49c95205411e26302cf9f74203e762ac7e85685 \
+    --hash=sha256:896195eb9dfdc85c8c052e29947169c1fcbe75a254c4b5792cdbd451587bce85 \
+    --hash=sha256:899152a78b095559c287b4c6d0099469573bb2055347bb8154db106651296f39 \
+    --hash=sha256:89d5c337d74ea6e5e7dc8af124cf177be843bbb9ca6e58c01f75ea103c12c8a9 \
+    --hash=sha256:9041ee665d0fa7f5c4ccf0f81f5e6b7087f797f85b143c094126fc2611fec9d0 \
+    --hash=sha256:910b96ed87316e4277b23c7bcaf667ce849c7cc379a453fa179e7e09290eeb25 \
+    --hash=sha256:929c8f3afa16a5130a81ab5079c589226273ec618949cce79b46d96e59a84f61 \
+    --hash=sha256:9300fac73ddc7e4b0330acbdda4efaabf74929a4a61e119a32a181f534a11b47 \
+    --hash=sha256:9310951c92c9fb91660de0c19a923c432f110dbfad1a2d429fbc44fa956bf64f \
+    --hash=sha256:956f21d359ae29dd51ca5726d2c9a44ffafa041c623f5aa33749da87cfa809b9 \
+    --hash=sha256:96af92e833bd44760fb17f23f402e07a66339c1dcbe17d79a9b55bb0cc4f038e \
+    --hash=sha256:998700177b45f70afeb206ad22c08d9e5f3a80639dae1032bf41e8cbc4dada4b \
+    --hash=sha256:9af2dc4ee97d037bc6b05fa4429ddc87532c706316c5e11ce2f0596dfcfa77af \
+    --hash=sha256:a12c3cebb8c92e9c35a23ab10d3852aee522f385c28d0b4fe48c0b7527d59762 \
+    --hash=sha256:a25dcb2f41a0a6aac31999e6c96a75e9152fa0127af8ece46c2f784f23b8197a \
+    --hash=sha256:a2ffd9a8895575ac636d44500c66dffaef133823b6b25067604fa73bbc5ec09d \
+    --hash=sha256:a647c5b7cb896d6430cf3e01b4e9a2d77f719c84cefcef825d404830c2071da2 \
+    --hash=sha256:a908c69c2897a68f412aa05ba38bfa87a02980df70f5a72fa8490479308b1f2d \
+    --hash=sha256:b0874481aea54a178f2bccc45aa2d0c99cd3f79143a0948af6a9a21dcc49173b \
+    --hash=sha256:b605c540753e62199bf15cf69c333e934077ef2350262af2ccada46026f83d1c \
+    --hash=sha256:b61f561f329ffe4b28367798b89d60c4abf3f815d37413b6352bc6412a359867 \
+    --hash=sha256:b8c0fc3542cf9370bf92c932eb71bdeb33d2d4aeeb4126d9fd567b60bd04cb30 \
+    --hash=sha256:bdd67a0e3503a9a7cf8bc5a4a49cdde5fa5bada09a51e4c7e1c73900297539bd \
+    --hash=sha256:bfdad27b0e50544f6b838895a373db6114b85112ba5c0cefadffa78d6daae563 \
+    --hash=sha256:c5ffe0d7f7bfcfa3b2585776ecf11da2e01c317027c8573c78ebcb8985279e23 \
+    --hash=sha256:cd28a8614f5c82a54ab2463554e84ad79526c5184cf4573bbac2efbbbcead457 \
+    --hash=sha256:ce6238a3311bb8e4c15b12600927d35c267b92a52c881ef5717a900ca14793f7 \
+    --hash=sha256:d10766473954397e2d370f215ebed1cc46dcf6fd3906a2a116aa1d6219bfedc3 \
+    --hash=sha256:d388d1ea8b7447da784e32e3b86a75cce55887e3b22b31c19d0b186b1c677800 \
+    --hash=sha256:d412a74cf5b3f68a90c615611a5aa4478bb303d1c65961d22db45001df68afcb \
+    --hash=sha256:da1001aa46f4490099c82e2facc4fbc06a6a32bf7de3918ba798010954b775e0 \
+    --hash=sha256:de291633fb9303555793cc544d4a86e858da529b7d0b752bcaf721ae1d74b2c9 \
+    --hash=sha256:e2e2d47a819d2954f2c1cd0ad51bb58ffac6f53a872d5d82d65d79bf76b9896d \
+    --hash=sha256:e53975a6694428a0586534cc1354b2408d4e010a3103117f617cbb550299797c \
+    --hash=sha256:e7edb8ec12c100d5458d15b1e47c0eb30ad606a05641f19af7563bc3d1608c14 \
+    --hash=sha256:e96f6c14c9752bb82145636b614d5a78e9cde95edfbe0a85dad0dd5ddd6ec95c \
+    --hash=sha256:e98eee4dca22849fbb56a80acaa899eec5b72055d79637dd6aa15d5e4b8628c9 \
+    --hash=sha256:ebe63e31f9c1a970c53866d814e35ec2ec26fda03097c486f82f3891cee60830 \
+    --hash=sha256:ec870fce1ee5248a10be69f7a8408a234d6f2109f8ea827b4f7ecdbf08c9fd15 \
+    --hash=sha256:ee86d4095d3542d73579e953c2e5e07d9321af2ffea6ecc097d16d538a2dea16 \
+    --hash=sha256:ef3f1ae08fa9aea5891cbd69df29913e11d3841798e0bfb1ff78b78e4e7ea0a4 \
+    --hash=sha256:f22dee205329a636148c325921c73cf3e412e87d31f4d9c3153b302a0200057b \
+    --hash=sha256:f326a1ac51ae909b9760e34671c26cd0dfe15662f447302a9d5bb2d872bab8ab \
+    --hash=sha256:f40df5e0294a95131cc5f0e0eb91fe86d88837abfbee46b9b3610b09860195a7 \
+    --hash=sha256:f861889707b54a9ab1204030b65fd6c22bdd4a95205deec7994dc22a8baa2ea4 \
+    --hash=sha256:f9aa93eacd865f2798b9e62f7ce4533cfff4f5fbd50c02926a78e81c74e432cd \
+    --hash=sha256:fc9e95ad49c932b80abfbfeaf63b155761e695ad9f8a58c52a47d962d76e310f
+torch==2.4.1 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:092e7c2280c860eff762ac08c4bdcd53d701677851670695e0c22d6d345b269c \
+    --hash=sha256:0b5f88afdfa05a335d80351e3cea57d38e578c8689f751d35e0ff36bce872113 \
+    --hash=sha256:18835374f599207a9e82c262153c20ddf42ea49bc76b6eadad8e5f49729f6e4d \
+    --hash=sha256:362f82e23a4cd46341daabb76fba08f04cd646df9bfaf5da50af97cb60ca4971 \
+    --hash=sha256:40f6d3fe3bae74efcf08cb7f8295eaddd8a838ce89e9d26929d4edd6d5e4329d \
+    --hash=sha256:5fc1d4d7ed265ef853579caf272686d1ed87cebdcd04f2a498f800ffc53dab71 \
+    --hash=sha256:6bce130f2cd2d52ba4e2c6ada461808de7e5eccbac692525337cfb4c19421846 \
+    --hash=sha256:72b484d5b6cec1a735bf3fa5a1c4883d01748698c5e9cfdbeb4ffab7c7987e0d \
+    --hash=sha256:91e326e2ccfb1496e3bee58f70ef605aeb27bd26be07ba64f37dcaac3d070ada \
+    --hash=sha256:a38de2803ee6050309aac032676536c3d3b6a9804248537e38e098d0e14817ec \
+    --hash=sha256:b57f07e92858db78c5b72857b4f0b33a65b00dc5d68e7948a8494b0314efb880 \
+    --hash=sha256:c9299c16c9743001ecef515536ac45900247f4338ecdf70746f2461f9e4831db \
+    --hash=sha256:c99e1db4bf0c5347107845d715b4aa1097e601bdc36343d758963055e9599d93 \
+    --hash=sha256:d36a8ef100f5bff3e9c3cea934b9e0d7ea277cb8210c7152d34a9a6c5830eadd \
+    --hash=sha256:ddddbd8b066e743934a4200b3d54267a46db02106876d21cf31f7da7a96f98ea \
+    --hash=sha256:e8ac1985c3ff0f60d85b991954cfc2cc25f79c84545aead422763148ed2759e3 \
+    --hash=sha256:ebea70ff30544fc021d441ce6b219a88b67524f01170b1c538d7d3ebb5e7f56c \
+    --hash=sha256:ef503165f2341942bfdf2bd520152f19540d0c0e34961232f134dc59ad435be8 \
+    --hash=sha256:f18197f3f7c15cde2115892b64f17c80dbf01ed72b008020e7da339902742cf6 \
+    --hash=sha256:fdc4fe11db3eb93c1115d3e973a27ac7c1a8318af8934ffa36b0370efe28e042
+tqdm==4.66.5 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:90279a3770753eafc9194a0364852159802111925aa30eb3f9d85b0e805ac7cd \
+    --hash=sha256:e1020aef2e5096702d8a025ac7d16b1577279c9d63f8375b63083e9a5f0fcbad
+transformers==4.45.2 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:72bc390f6b203892561f05f86bbfaa0e234aab8e927a83e62b9d92ea7e3ae101 \
+    --hash=sha256:c551b33660cfc815bae1f9f097ecfd1e65be623f13c6ee0dda372bd881460210
+triton==3.0.0 ; platform_system == "Linux" and platform_machine == "x86_64" and python_version < "3.13" and python_full_version >= "3.11.4" \
+    --hash=sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb \
+    --hash=sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c \
+    --hash=sha256:6e5727202f7078c56f91ff13ad0c1abab14a0e7f2c87e91b12b6f64f3e8ae609 \
+    --hash=sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9 \
+    --hash=sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a
+typing-extensions==4.12.2 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d \
+    --hash=sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8
+urllib3==2.2.3 ; python_full_version >= "3.11.4" and python_full_version < "4.0.0" \
+    --hash=sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac \
+    --hash=sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9
diff --git a/audio_handler.py b/src/yawt/audio_handler.py
similarity index 100%
rename from audio_handler.py
rename to src/yawt/audio_handler.py
diff --git a/config.py b/src/yawt/config.py
similarity index 92%
rename from config.py
rename to src/yawt/config.py
index b1162ef..e30531f 100644
--- a/config.py
+++ b/src/yawt/config.py
@@ -5,11 +5,11 @@
 from pathlib import Path
 from dotenv import load_dotenv
 
-# Load environment variables from .env file
+# **Load environment variables from .env file**
 load_dotenv()
 
-# Define the path to the config file
-CONFIG_FILE = Path(__file__).parent / "config.yaml"
+# Define the path to the default config file
+CONFIG_FILE = Path(__file__).parent / "../../config/default_config.yaml"
 
 def load_config(config_path=CONFIG_FILE):
     if not config_path.exists():
diff --git a/diarization.py b/src/yawt/diarization.py
similarity index 100%
rename from diarization.py
rename to src/yawt/diarization.py
diff --git a/logging_setup.py b/src/yawt/logging_setup.py
similarity index 100%
rename from logging_setup.py
rename to src/yawt/logging_setup.py
diff --git a/trans-ctx.py b/src/yawt/main.py
similarity index 97%
rename from trans-ctx.py
rename to src/yawt/main.py
index 9b44196..dafbe1b 100644
--- a/trans-ctx.py
+++ b/src/yawt/main.py
@@ -238,12 +238,12 @@ def main():
 
         logging.info("Script started.")
 
-        # Initialize environment variables
-        initialize_environment()
+        # Initialize and load configuration
+        config = load_and_prepare_config(args.config)  # Load the specified config
 
-        # Retrieve API tokens
-        pyannote_token = args.pyannote_token or os.getenv("PYANNOTE_TOKEN")
-        openai_key = args.openai_key or os.getenv("OPENAI_KEY")
+        # **Retrieve API tokens with correct precedence**
+        pyannote_token = args.pyannote_token or config.get('pyannote_token') or os.getenv("PYANNOTE_TOKEN")
+        openai_key = args.openai_key or config.get('openai_key') or os.getenv("OPENAI_KEY")
 
         # Check if API tokens are set
         check_api_tokens(pyannote_token, openai_key)
diff --git a/output_writer.py b/src/yawt/output_writer.py
similarity index 100%
rename from output_writer.py
rename to src/yawt/output_writer.py
diff --git a/transcription.py b/src/yawt/transcription.py
similarity index 100%
rename from transcription.py
rename to src/yawt/transcription.py
diff --git a/tests/test_audio_handler.py b/tests/test_audio_handler.py
new file mode 100644
index 0000000..d5fba45
--- /dev/null
+++ b/tests/test_audio_handler.py
@@ -0,0 +1,76 @@
+import pytest
+from unittest.mock import patch, mock_open, MagicMock
+from yawt.audio_handler import load_audio, upload_file, download_audio
+import os
+
+def test_load_audio_success(mocker):
+    mock_ffmpeg = mocker.patch('yawt.audio_handler.ffmpeg')
+    mock_ffmpeg.input.return_value.output.return_value.run.return_value = (b'\x00\x01', None)
+    audio = load_audio("path/to/audio.wav")
+    assert isinstance(audio, list)
+    assert len(audio) == 2  # Based on mock data
+
+def test_load_audio_ffmpeg_error(mocker):
+    mock_ffmpeg = mocker.patch('yawt.audio_handler.ffmpeg')
+    mock_ffmpeg.input.return_value.output.return_value.run.side_effect = ffmpeg.Error('ffmpeg', 'Error', 'Error message')
+    
+    with pytest.raises(SystemExit):
+        load_audio("path/to/invalid_audio.wav")
+
+@patch('yawt.audio_handler.requests.post')
+def test_upload_file_0x0_st_success(mock_post, mocker):
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.text = "https://0x0.st/abc123"
+    mock_post.return_value = mock_response
+
+    with patch('builtins.open', mock_open(read_data=b"data")):
+        file_url = upload_file("path/to/file.wav", service='0x0.st')
+        assert file_url == "https://0x0.st/abc123"
+
+@patch('yawt.audio_handler.requests.post')
+def test_upload_file_0x0_st_failure(mock_post, mocker):
+    mock_response = MagicMock()
+    mock_response.status_code = 400
+    mock_response.text = "Bad Request"
+    mock_post.return_value = mock_response
+
+    with patch('builtins.open', mock_open(read_data=b"data")), pytest.raises(Exception):
+        upload_file("path/to/file.wav", service='0x0.st')
+
+@patch('yawt.audio_handler.requests.post')
+def test_upload_file_file_io_success(mock_post, mocker):
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.json.return_value = {"success": True, "link": "https://file.io/xyz789"}
+    mock_post.return_value = mock_response
+
+    with patch('builtins.open', mock_open(read_data=b"data")):
+        file_url = upload_file("path/to/file.wav", service='file.io')
+        assert file_url == "https://file.io/xyz789"
+
+@patch('yawt.audio_handler.requests.get')
+def test_download_audio_success(mock_get, mocker, tmp_path):
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.iter_content.return_value = [b'data']
+    mock_response.__enter__.return_value = mock_response
+    mock_get.return_value = mock_response
+
+    with patch('builtins.open', mock_open()) as mocked_file:
+        file_path = download_audio("https://example.com/audio.wav")
+        mocked_file.assert_called_once_with(os.path.join(tmp_path, 'temp_audio.wav'), 'wb')
+        assert file_path.endswith('.wav')
+
+def test_download_audio_empty_file(mocker, tmp_path):
+    mock_get = mocker.patch('yawt.audio_handler.requests.get')
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.iter_content.return_value = []
+    mock_response.__enter__.return_value = mock_response
+    mock_get.return_value = mock_response
+
+    with patch('builtins.open', mock_open()), \
+         patch('yawt.audio_handler.os.path.getsize', return_value=0), \
+         pytest.raises(Exception):
+        download_audio("https://example.com/empty_audio.wav")
\ No newline at end of file
diff --git a/tests/test_config.py b/tests/test_config.py
new file mode 100644
index 0000000..2fca98e
--- /dev/null
+++ b/tests/test_config.py
@@ -0,0 +1,58 @@
+import pytest
+from yawt.config import load_config, validate_config
+import os
+import yaml
+
+def test_load_config():
+    config = load_config("config/default_config.yaml")
+    assert config is not None, "Configuration should not be None"
+    assert "api_costs" in config, "Configuration should contain 'api_costs'"
+    assert "logging" in config, "Configuration should contain 'logging'"
+    assert "model" in config, "Configuration should contain 'model'"
+    assert "supported_upload_services" in config, "Configuration should contain 'supported_upload_services'"
+    assert "timeouts" in config, "Configuration should contain 'timeouts'"
+
+def test_load_config_file_not_found():
+    with pytest.raises(FileNotFoundError):
+        load_config("config/nonexistent_config.yaml")
+
+def test_validate_config_valid():
+    config = load_config("config/default_config.yaml")
+    # If load_config already validates, this should pass without exceptions
+    validate_config(config)  # Should not raise
+
+def test_validate_config_invalid_whisper_cost(tmp_path):
+    # Create an invalid config with negative whisper cost
+    invalid_config = {
+        "api_costs": {
+            "whisper": {
+                "cost_per_minute": -0.01  # Invalid negative value
+            },
+            "pyannote": {
+                "cost_per_hour": 0.18
+            }
+        },
+        "logging": {
+            "log_directory": "logs",
+            "max_log_size": 10485760,
+            "backup_count": 5
+        },
+        "model": {
+            "default_model_id": "openai/whisper-large-v3"
+        },
+        "supported_upload_services": ["0x0.st", "file.io"],
+        "timeouts": {
+            "download_timeout": 120,
+            "upload_timeout": 120,
+            "diarization_timeout": 3600,
+            "job_status_timeout": 60
+        }
+    }
+    config_path = tmp_path / "invalid_config.yaml"
+    with open(config_path, 'w') as f:
+        yaml.dump(invalid_config, f)
+    
+    with pytest.raises(ValueError) as exc_info:
+        config = load_config(str(config_path))
+        validate_config(config)
+    assert "Whisper cost per minute must be non-negative." in str(exc_info.value)
\ No newline at end of file
diff --git a/tests/test_diarization.py b/tests/test_diarization.py
new file mode 100644
index 0000000..410ce2f
--- /dev/null
+++ b/tests/test_diarization.py
@@ -0,0 +1,87 @@
+import pytest
+from unittest.mock import patch, MagicMock
+from yawt.diarization import submit_diarization_job, wait_for_diarization, get_job_status
+
+@patch('yawt.diarization.requests.post')
+def test_submit_diarization_job_success(mock_post):
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.json.return_value = {"jobId": "job123"}
+    mock_post.return_value = mock_response
+
+    job_id = submit_diarization_job("fake_token", "https://example.com/audio.wav", num_speakers=2)
+    assert job_id == "job123"
+
+@patch('yawt.diarization.requests.post')
+def test_submit_diarization_job_rate_limit(mock_post, mocker):
+    mock_response = MagicMock()
+    mock_response.status_code = 429
+    mock_response.headers = {'Retry-After': '1'}
+    mock_post.return_value = mock_response
+
+    with patch('time.sleep') as mock_sleep:
+        mock_post.side_effect = [mock_response, MagicMock(status_code=200, json=lambda: {"jobId": "job123"})]
+        job_id = submit_diarization_job("fake_token", "https://example.com/audio.wav")
+        assert job_id == "job123"
+        assert mock_sleep.called_once_with(1)
+
+@patch('yawt.diarization.requests.post')
+def test_submit_diarization_job_failure(mock_post):
+    mock_response = MagicMock()
+    mock_response.status_code = 400
+    mock_response.text = "Bad Request"
+    mock_post.return_value = mock_response
+
+    with pytest.raises(Exception) as exc_info:
+        submit_diarization_job("fake_token", "https://example.com/audio.wav")
+    assert "Diarization submission failed" in str(exc_info.value)
+
+@patch('yawt.diarization.requests.get')
+def test_get_job_status_success(mock_get):
+    mock_response = MagicMock()
+    mock_response.status_code = 200
+    mock_response.json.return_value = {"status": "succeeded", "output": {"diarization": []}}
+    mock_get.return_value = mock_response
+
+    job_info = get_job_status("fake_token", "job123")
+    assert job_info['status'] == "succeeded"
+
+@patch('yawt.diarization.requests.get')
+def test_get_job_status_rate_limit(mock_get, mocker):
+    mock_response = MagicMock()
+    mock_response.status_code = 429
+    mock_response.headers = {'Retry-After': '1'}
+    mock_get.return_value = mock_response
+
+    with patch('time.sleep') as mock_sleep:
+        mock_get.side_effect = [mock_response, MagicMock(status_code=200, json=lambda: {"status": "succeeded"})]
+        job_info = get_job_status("fake_token", "job123")
+        assert job_info['status'] == "succeeded"
+        assert mock_sleep.called_once_with(1)
+
+@patch('yawt.diarization.requests.get')
+def test_get_job_status_failure(mock_get):
+    mock_response = MagicMock()
+    mock_response.status_code = 500
+    mock_response.text = "Internal Server Error"
+    mock_get.return_value = mock_response
+
+    with pytest.raises(Exception) as exc_info:
+        get_job_status("fake_token", "job123")
+    assert "Failed to get job status" in str(exc_info.value)
+
+@patch('yawt.diarization.get_job_status')
+def test_wait_for_diarization_success(mock_get_job_status, mocker):
+    mock_get_job_status.return_value = {"status": "succeeded", "output": {"diarization": []}}
+    job_info = wait_for_diarization("fake_token", "job123", "https://example.com/audio.wav")
+    assert job_info['status'] == "succeeded"
+
+@patch('yawt.diarization.get_job_status')
+def test_wait_for_diarization_timeout(mock_get_job_status, mocker):
+    mock_get_job_status.return_value = {"status": "in_progress"}
+    
+    with patch('time.time', side_effect=[0, 4000]):
+        with patch('time.sleep'):
+            with pytest.raises(Exception) as exc_info:
+                wait_for_diarization("fake_token", "job123", "https://example.com/audio.wav", timeout=3600)
+            assert "Diarization job timed out." in str(exc_info.value)
\ No newline at end of file
diff --git a/tests/test_logging_setup.py b/tests/test_logging_setup.py
new file mode 100644
index 0000000..6dcc618
--- /dev/null
+++ b/tests/test_logging_setup.py
@@ -0,0 +1,39 @@
+import pytest
+from unittest.mock import patch, MagicMock
+from yawt.logging_setup import setup_logging
+import logging
+
+def test_setup_logging_default(mocker):
+    mock_makedirs = mocker.patch('yawt.logging_setup.os.makedirs')
+    mock_RotatingFileHandler = mocker.patch('yawt.logging_setup.RotatingFileHandler')
+    mock_StreamHandler = mocker.patch('yawt.logging_setup.logging.StreamHandler')
+
+    setup_logging()
+
+    mock_makedirs.assert_called_once_with("logs", exist_ok=True)
+    assert logging.getLogger().level == logging.WARNING
+    mock_StreamHandler.assert_called_once_with()
+
+def test_setup_logging_debug(mocker):
+    mock_makedirs = mocker.patch('yawt.logging_setup.os.makedirs')
+    mock_RotatingFileHandler = mocker.patch('yawt.logging_setup.RotatingFileHandler')
+    mock_StreamHandler = mocker.patch('yawt.logging_setup.logging.StreamHandler')
+    mock_basicConfig = mocker.patch('yawt.logging_setup.logging.basicConfig')
+
+    setup_logging(debug=True)
+
+    mock_basicConfig.assert_called_once()
+    args, kwargs = mock_basicConfig.call_args
+    assert kwargs['level'] == logging.DEBUG
+
+def test_setup_logging_verbose(mocker):
+    mock_makedirs = mocker.patch('yawt.logging_setup.os.makedirs')
+    mock_RotatingFileHandler = mocker.patch('yawt.logging_setup.RotatingFileHandler')
+    mock_StreamHandler = mocker.patch('yawt.logging_setup.logging.StreamHandler')
+    mock_basicConfig = mocker.patch('yawt.logging_setup.logging.basicConfig')
+
+    setup_logging(verbose=True)
+
+    mock_basicConfig.assert_called_once()
+    args, kwargs = mock_basicConfig.call_args
+    assert kwargs['level'] == logging.INFO
\ No newline at end of file
diff --git a/tests/test_main.py b/tests/test_main.py
new file mode 100644
index 0000000..4931342
--- /dev/null
+++ b/tests/test_main.py
@@ -0,0 +1,109 @@
+import pytest
+from unittest.mock import patch, MagicMock
+from yawt.main import transcribe_audio, main
+import sys
+
+@pytest.fixture
+def mock_transcribe_audio_success(mocker):
+    mock = mocker.patch('yawt.main.transcribe_audio')
+    mock.return_value = "This is a mocked transcription."
+    return mock
+
+@pytest.fixture
+def mock_transcribe_audio_failure(mocker):
+    mock = mocker.patch('yawt.main.transcribe_audio')
+    mock.side_effect = FileNotFoundError("Audio file not found.")
+    return mock
+
+def test_transcribe_audio_success(mock_transcribe_audio_success):
+    audio_file = "path/to/test_audio.wav"
+    expected_transcription = "This is a mocked transcription."
+
+    result = transcribe_audio(audio_file)
+    assert result == expected_transcription, "Transcription should match expected output"
+
+def test_transcribe_audio_file_not_found(mock_transcribe_audio_failure):
+    with pytest.raises(FileNotFoundError):
+        transcribe_audio("path/to/nonexistent_audio.wav")
+
+@patch('yawt.main.parse_arguments')
+@patch('yawt.main.setup_logging')
+@patch('yawt.main.initialize_environment')
+@patch('yawt.main.check_api_tokens')
+@patch('yawt.main.load_and_prepare_model')
+@patch('yawt.main.handle_audio_input')
+@patch('yawt.main.perform_diarization')
+@patch('yawt.main.map_speakers')
+@patch('yawt.main.load_audio')
+@patch('yawt.main.calculate_cost')
+@patch('yawt.main.transcribe_segments')
+@patch('yawt.main.write_transcriptions')
+def test_main_success(
+    mock_write_transcriptions,
+    mock_transcribe_segments,
+    mock_calculate_cost,
+    mock_load_audio,
+    mock_map_speakers,
+    mock_perform_diarization,
+    mock_handle_audio_input,
+    mock_load_and_prepare_model,
+    mock_check_api_tokens,
+    mock_initialize_environment,
+    mock_setup_logging,
+    mock_parse_arguments
+):
+    # Setup mock return values
+    mock_parse_arguments.return_value = MagicMock(
+        audio_url=None,
+        input_file="path/to/test_audio.wav",
+        context_prompt=None,
+        language=['en'],
+        num_speakers=2,
+        dry_run=False,
+        debug=False,
+        verbose=False,
+        pyannote_token="fake_token",
+        openai_key="fake_key",
+        model="openai/whisper-large-v3",
+        output_format=['text']
+    )
+    mock_handle_audio_input.return_value = ("uploaded_audio_url", "path/to/test_audio.wav")
+    mock_perform_diarization.return_value = [{'speaker': 'S1', 'start': 0, 'end': 30}]
+    mock_map_speakers.return_value = [{'id': 'Speaker1', 'name': 'Speaker 1'}]
+    mock_load_audio.return_value = [0.0, 1.0, 2.0]  # Mock audio array
+    mock_calculate_cost.return_value = (0.18, 0.18, 0.36)
+    mock_transcribe_segments.return_value = (
+        [{'start': 0, 'end': 30, 'speaker_id': 'Speaker1', 'text': 'Mocked transcription.'}],
+        []
+    )
+
+    with patch('yawt.main.write_transcriptions') as mock_write:
+        main()
+        mock_write.assert_called_once()
+
+def test_main_diarization_failure(mocker):
+    with patch('yawt.main.parse_arguments') as mock_parse:
+        mock_parse.return_value = MagicMock(
+            audio_url=None,
+            input_file="path/to/test_audio.wav",
+            context_prompt=None,
+            language=['en'],
+            num_speakers=2,
+            dry_run=False,
+            debug=False,
+            verbose=False,
+            pyannote_token="fake_token",
+            openai_key="fake_key",
+            model="openai/whisper-large-v3",
+            output_format=['text']
+        )
+        mocker.patch('yawt.main.setup_logging')
+        mocker.patch('yawt.main.initialize_environment')
+        mocker.patch('yawt.main.check_api_tokens')
+        mocker.patch('yawt.main.load_and_prepare_model')
+        mocker.patch('yawt.main.handle_audio_input').return_value = ("uploaded_audio_url", "path/to/test_audio.wav")
+        mocker.patch('yawt.main.perform_diarization', side_effect=Exception("Diarization failed."))
+
+        with patch('yawt.main.sys.exit') as mock_exit:
+            main()
+            mock_exit.assert_called_once_with(1)
\ No newline at end of file
diff --git a/tests/test_output_writer.py b/tests/test_output_writer.py
new file mode 100644
index 0000000..afbb4b3
--- /dev/null
+++ b/tests/test_output_writer.py
@@ -0,0 +1,62 @@
+import pytest
+from unittest.mock import patch, mock_open, MagicMock
+from yawt.output_writer import write_transcriptions
+
+def test_write_transcriptions_text_success(mocker):
+    transcription_segments = [
+        {'start': 0, 'end': 5, 'speaker_id': 'Speaker1', 'text': 'Hello'},
+        {'start': 5, 'end': 10, 'speaker_id': 'Speaker2', 'text': 'Hi there'}
+    ]
+    speakers = [{'id': 'Speaker1', 'name': 'Speaker 1'}, {'id': 'Speaker2', 'name': 'Speaker 2'}]
+
+    with patch('builtins.open', mock_open()) as mocked_file:
+        write_transcriptions(['text'], 'test_audio', transcription_segments, speakers)
+        mocked_file.assert_called_once_with('test_audio_transcription.txt', 'w', encoding='utf-8')
+        handle = mocked_file()
+        handle.write.assert_any_call("[0.00 - 5.00] Speaker1: Hello\n")
+        handle.write.assert_any_call("[5.00 - 10.00] Speaker2: Hi there\n")
+
+def test_write_transcriptions_srt_success(mocker):
+    transcription_segments = [
+        {'start': 0, 'end': 5, 'speaker_id': 'Speaker1', 'text': 'Hello'},
+        {'start': 5, 'end': 10, 'speaker_id': 'Speaker2', 'text': 'Hi there'}
+    ]
+    speakers = [{'id': 'Speaker1', 'name': 'Speaker 1'}, {'id': 'Speaker2', 'name': 'Speaker 2'}]
+
+    with patch('builtins.open', mock_open()) as mocked_file, \
+         patch('yawt.output_writer.srt.compose') as mock_srt_compose:
+        mock_srt_compose.return_value = "1\n00:00:00,000 --> 00:00:05,000\nSpeaker1: Hello\n\n2\n00:00:05,000 --> 00:00:10,000\nSpeaker2: Hi there\n"
+        write_transcriptions(['srt'], 'test_audio', transcription_segments, speakers)
+        mocked_file.assert_called_once_with('test_audio_transcription.srt', 'w', encoding='utf-8')
+        handle = mocked_file()
+        handle.write.assert_called_once_with("1\n00:00:00,000 --> 00:00:05,000\nSpeaker1: Hello\n\n2\n00:00:05,000 --> 00:00:10,000\nSpeaker2: Hi there\n")
+
+def test_write_transcriptions_json_success(mocker):
+    transcription_segments = [
+        {'start': 0, 'end': 5, 'speaker_id': 'Speaker1', 'text': 'Hello'},
+        {'start': 5, 'end': 10, 'speaker_id': 'Speaker2', 'text': 'Hi there'}
+    ]
+    speakers = [{'id': 'Speaker1', 'name': 'Speaker 1'}, {'id': 'Speaker2', 'name': 'Speaker 2'}]
+
+    with patch('builtins.open', mock_open()) as mocked_file:
+        write_transcriptions(['json'], 'test_audio', transcription_segments, speakers)
+        mocked_file.assert_called_once_with('test_audio_transcript.json', 'w', encoding='utf-8')
+        handle = mocked_file()
+        expected_data = {
+            'speakers': speakers,
+            'transcript': transcription_segments
+        }
+        import json
+        handle.write.assert_called_once_with(json.dumps(expected_data, indent=2))
+
+def test_write_transcriptions_multiple_formats_success(mocker):
+    transcription_segments = [
+        {'start': 0, 'end': 5, 'speaker_id': 'Speaker1', 'text': 'Hello'}
+    ]
+    speakers = [{'id': 'Speaker1', 'name': 'Speaker 1'}]
+
+    with patch('builtins.open', mock_open()) as mocked_file, \
+         patch('yawt.output_writer.srt.compose') as mock_srt_compose:
+        mock_srt_compose.return_value = "1\n00:00:00,000 --> 00:00:05,000\nSpeaker1: Hello\n"
+        write_transcriptions(['text', 'srt', 'json'], 'test_audio', transcription_segments, speakers)
+        assert mocked_file.call_count == 3
\ No newline at end of file
diff --git a/tests/test_transcription.py b/tests/test_transcription.py
new file mode 100644
index 0000000..d5d313d
--- /dev/null
+++ b/tests/test_transcription.py
@@ -0,0 +1,134 @@
+import pytest
+from unittest.mock import patch, MagicMock
+from yawt.transcription import (
+    load_and_optimize_model,
+    model_generate_with_timeout,
+    transcribe_single_segment,
+    retry_transcriptions,
+    TimeoutException
+)
+
+@pytest.fixture
+def mock_model():
+    mock = MagicMock()
+    mock.generate.return_value = [1, 2, 3]
+    return mock
+
+@pytest.fixture
+def mock_processor():
+    mock = MagicMock()
+    mock.batch_decode.return_value = ["Transcribed text"]
+    return mock
+
+def test_load_and_optimize_model_success(mocker):
+    mocker.patch('yawt.transcription.AutoModelForSpeechSeq2Seq.from_pretrained', return_value=MagicMock())
+    mocker.patch('yawt.transcription.AutoProcessor.from_pretrained', return_value=MagicMock())
+    mocker.patch('yawt.transcription.get_device', return_value=MagicMock())
+    mocker.patch('torch.compile')
+    
+    model, processor, device, torch_dtype = load_and_optimize_model("model_id")
+    assert model is not None
+    assert processor is not None
+    assert device is not None
+    assert torch_dtype is not None
+
+def test_model_generate_with_timeout_success(mock_model):
+    inputs = {"input_ids": MagicMock()}
+    generate_kwargs = {}
+    timeout = 5
+
+    result = model_generate_with_timeout(mock_model, inputs, generate_kwargs, timeout)
+    assert result == [1, 2, 3]
+    mock_model.generate.assert_called_once_with(**inputs, **generate_kwargs)
+
+def test_model_generate_with_timeout_failure(mock_model):
+    inputs = {"input_ids": MagicMock()}
+    generate_kwargs = {}
+    timeout = 1
+
+    with patch('concurrent.futures.ThreadPoolExecutor') as MockExecutor:
+        instance = MockExecutor.return_value.__enter__.return_value
+        instance.submit.side_effect = concurrent.futures.TimeoutError
+
+        with pytest.raises(TimeoutException):
+            model_generate_with_timeout(mock_model, inputs, generate_kwargs, timeout)
+
+def test_transcribe_single_segment_success(mock_model, mock_processor):
+    generate_kwargs = {}
+    transcription = transcribe_single_segment(
+        mock_model,
+        mock_processor,
+        {"input_ids": MagicMock()},
+        generate_kwargs,
+        idx=1,
+        chunk_start=0,
+        chunk_end=5,
+        device=MagicMock(),
+        torch_dtype=MagicMock()
+    )
+    assert transcription == "Transcribed text"
+    mock_model.generate.assert_called_once()
+
+def test_transcribe_single_segment_timeout(mock_model, mock_processor):
+    mock_model.generate.side_effect = TimeoutException("Timeout")
+    generate_kwargs = {}
+
+    transcription = transcribe_single_segment(
+        mock_model,
+        mock_processor,
+        {"input_ids": MagicMock()},
+        generate_kwargs,
+        idx=1,
+        chunk_start=0,
+        chunk_end=5,
+        device=MagicMock(),
+        torch_dtype=MagicMock()
+    )
+    assert transcription is None
+
+def test_retry_transcriptions_success(mock_model, mock_processor):
+    transcription_segments = []
+    failed_segments = [{'segment': 1, 'reason': 'Initial failure'}]
+    diarization_segments = [{'start': 0, 'end': 5}]
+    audio_array = [0.0, 1.0, 2.0]
+
+    with patch('yawt.transcription.transcribe_single_segment', return_value="Retry transcription"):
+        failed = retry_transcriptions(
+            model=mock_model,
+            processor=mock_processor,
+            audio_array=audio_array,
+            diarization_segments=diarization_segments,
+            failed_segments=failed_segments,
+            generate_kwargs={},
+            device=MagicMock(),
+            torch_dtype=MagicMock(),
+            base_name="test",
+            transcription_segments=transcription_segments,
+            MAX_RETRIES=2
+        )
+        assert failed == []
+        assert len(transcription_segments) == 1
+        assert transcription_segments[0]['text'] == "Retry transcription"
+
+def test_retry_transcriptions_failure(mock_model, mock_processor):
+    transcription_segments = []
+    failed_segments = [{'segment': 1, 'reason': 'Initial failure'}]
+    diarization_segments = [{'start': 0, 'end': 5}]
+    audio_array = [0.0, 1.0, 2.0]
+
+    with patch('yawt.transcription.transcribe_single_segment', return_value=None):
+        failed = retry_transcriptions(
+            model=mock_model,
+            processor=mock_processor,
+            audio_array=audio_array,
+            diarization_segments=diarization_segments,
+            failed_segments=failed_segments,
+            generate_kwargs={},
+            device=MagicMock(),
+            torch_dtype=MagicMock(),
+            base_name="test",
+            transcription_segments=transcription_segments,
+            MAX_RETRIES=2
+        )
+        assert len(failed) == 1  # Still failed after retries
+        assert len(transcription_segments) == 0
\ No newline at end of file