explain model selection in the readme, fix missing model selection argument in generate_embeddings_batch #7
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…gument in generate_embeddings_batch
WalkthroughThe pull request introduces significant updates to the In the Possibly related PRs
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (2)
src/quizgen/scripts/generate_embeddings_batch.py (2)
37-38: LGTM: Embedding model parameter correctly passed to the script.The addition of the
--embedding-modelargument in thesubprocess.runcall ensures that the selected embedding model is correctly passed to thegenerate_embeddings.pyscript. This change is consistent with the function signature update and aligns with the PR objectives.For improved readability, consider combining the two new lines into a single line:
"--embedding-model", embedding_model,
59-64: LGTM: Embedding model argument added to the parser.The addition of the
--embedding-modelargument to the parser is a good improvement. It allows users to specify the embedding model from the command line, which aligns with the PR objectives and the updates to thegenerate_embeddingsfunction.For consistency with other arguments, consider moving the
type=strparameter to the end of the argument definition:parser.add_argument( "--embedding-model", default="text-embedding-3-small", help="Model to use for generating embeddings", type=str )
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📒 Files selected for processing (2)
- README.md (1 hunks)
- src/quizgen/scripts/generate_embeddings_batch.py (3 hunks)
🧰 Additional context used
🪛 LanguageTool
README.md
[uncategorized] ~132-~132: Loose punctuation mark.
Context: ...ents are available: ---concept-model: Specifies the model used for concept ex...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~132-~132: A determiner appears to be missing. Consider inserting it.
Context: ... the model used for concept extraction. Default isgpt-4o-mini-2024-07-18. - `--quest...(AI_EN_LECTOR_MISSING_DETERMINER)
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Context: ...-mini-2024-07-18. ---questions-model`: Specifies the model used for question g...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~133-~133: A determiner appears to be missing. Consider inserting it.
Context: ...the model used for question generation. Default isgpt-4o-2024-08-06. - `--embedding-...(AI_EN_LECTOR_MISSING_DETERMINER)
[uncategorized] ~134-~134: Loose punctuation mark.
Context: ...pt-4o-2024-08-06. ---embedding-model`: Specifies the model used for generating...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~134-~134: A determiner appears to be missing. Consider inserting it.
Context: ...e model used for generating embeddings. Default istext-embedding-3-small. These arg...(AI_EN_LECTOR_MISSING_DETERMINER)
🔇 Additional comments (5)
src/quizgen/scripts/generate_embeddings_batch.py (3)
10-10: LGTM: Function signature updated to include embedding model selection.The addition of the
embedding_modelparameter to thegenerate_embeddingsfunction aligns well with the PR objectives. This change allows for greater flexibility in model selection, which is consistent with the updates mentioned in the README.md.
67-67: LGTM: Embedding model correctly passed to generate_embeddings function.The update to the
generate_embeddingsfunction call, which now includes theargs.embedding_modelparameter, ensures that the user-specified (or default) embedding model is correctly passed to the function. This change is consistent with the updates made to the function signature and argument parser.
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1-71: Overall, the changes look good and address the PR objectives.The implementation successfully introduces the embedding model selection feature, addressing the missing model selection argument issue mentioned in the PR objectives. The changes are well-integrated and maintain the overall structure and functionality of the script.
To ensure full compatibility, please run the following verification script:
This script will help verify that the new embedding model argument is correctly handled throughout the codebase and that there are no remaining TODOs or FIXMEs related to this change.
✅ Verification successful
Verification Successful: All checks have passed, and the
embedding_modelargument is correctly handled throughout the codebase.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify that the new embedding model argument is correctly handled throughout the codebase. # Test 1: Check if the README.md mentions the new embedding model argument echo "Checking README.md for embedding model argument..." grep -n "embedding-model" README.md # Test 2: Verify that no other scripts directly call generate_embeddings without the new argument echo "Checking for other scripts calling generate_embeddings..." rg "generate_embeddings\s*\([^)]*\)" --type python # Test 3: Look for any TODOs or FIXMEs related to embedding models echo "Checking for TODOs or FIXMEs related to embedding models..." rg "TODO|FIXME" --type python | grep -i "embedding" echo "Verification complete. Please review the output to ensure all changes are consistent."Length of output: 1006
Script:
#!/bin/bash # Description: Verify that the new embedding model argument is correctly handled throughout the codebase. # Test 1: Check if the README.md mentions the new embedding model argument echo "Checking README.md for embedding model argument..." grep -n "embedding-model" README.md # Test 2: Verify that no other scripts directly call generate_embeddings without the new argument echo "Checking for other scripts calling generate_embeddings without the embedding model argument..." rg "generate_embeddings\s*\([^)]*\)" --glob "*.py" # Test 3: Look for any TODOs or FIXMEs related to embedding models echo "Checking for TODOs or FIXMEs related to embedding models..." rg "TODO|FIXME" --glob "*.py" | grep -i "embedding" echo "Verification complete. Please review the output to ensure all changes are consistent."Length of output: 1260
README.md (2)
126-144: LGTM! Clear and informative section on model selection.The new "Model Selection" section is well-structured and provides valuable information on customizing the AI models used in different stages of the question generation process. The examples are clear and demonstrate proper usage for both single chapter and batch commands.
Could you please verify the accuracy of the default model names? They use unconventional formats (e.g., 'gpt-4o-mini-2024-07-18', 'gpt-4o-2024-08-06') which might be internal or future model names. Ensure these are the correct, publicly available model names that users can access.
🧰 Tools
🪛 LanguageTool
[uncategorized] ~132-~132: Loose punctuation mark.
Context: ...ents are available: ---concept-model: Specifies the model used for concept ex...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~132-~132: A determiner appears to be missing. Consider inserting it.
Context: ... the model used for concept extraction. Default isgpt-4o-mini-2024-07-18. - `--quest...(AI_EN_LECTOR_MISSING_DETERMINER)
[uncategorized] ~133-~133: Loose punctuation mark.
Context: ...-mini-2024-07-18. ---questions-model`: Specifies the model used for question g...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~133-~133: A determiner appears to be missing. Consider inserting it.
Context: ...the model used for question generation. Default isgpt-4o-2024-08-06. - `--embedding-...(AI_EN_LECTOR_MISSING_DETERMINER)
[uncategorized] ~134-~134: Loose punctuation mark.
Context: ...pt-4o-2024-08-06. ---embedding-model`: Specifies the model used for generating...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~134-~134: A determiner appears to be missing. Consider inserting it.
Context: ...e model used for generating embeddings. Default istext-embedding-3-small. These arg...(AI_EN_LECTOR_MISSING_DETERMINER)
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146-153: Great addition of example Anki decks!The new "Example Anki Decks" section provides valuable practical examples of QuizGen's output, complete with download links. This addition enhances the README by showcasing real-world applications of the tool.
Please verify the dates mentioned for the Gradle User Manual and Go Programming Language Specification (both October 2024). These dates are in the future, which seems inconsistent. Consider updating to the current or most recent versions of these resources.
🧰 Tools
🪛 LanguageTool
[uncategorized] ~132-~132: Loose punctuation mark.
Context: ...ents are available: ---concept-model: Specifies the model used for concept ex...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~132-~132: A determiner appears to be missing. Consider inserting it.
Context: ... the model used for concept extraction. Default isgpt-4o-mini-2024-07-18. - `--quest...(AI_EN_LECTOR_MISSING_DETERMINER)
[uncategorized] ~133-~133: Loose punctuation mark.
Context: ...-mini-2024-07-18. ---questions-model`: Specifies the model used for question g...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~133-~133: A determiner appears to be missing. Consider inserting it.
Context: ...the model used for question generation. Default isgpt-4o-2024-08-06. - `--embedding-...(AI_EN_LECTOR_MISSING_DETERMINER)
[uncategorized] ~134-~134: Loose punctuation mark.
Context: ...pt-4o-2024-08-06. ---embedding-model`: Specifies the model used for generating...(UNLIKELY_OPENING_PUNCTUATION)
[uncategorized] ~134-~134: A determiner appears to be missing. Consider inserting it.
Context: ...e model used for generating embeddings. Default istext-embedding-3-small. These arg...(AI_EN_LECTOR_MISSING_DETERMINER)
Summary by CodeRabbit
New Features
Enhancements