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This project showcases how to build a simple, interactive chatbot using Watsonx foundational models and Streamlit. Learn to integrate Watsonx APIs with a real-time user interface for seamless AI conversations. Perfect for beginners and developers looking to create advanced, responsive chatbots.

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Abd-al-RahmanH/Chatbot-with-Watsonx-Models-using-Streamlit

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title emoji colorFrom colorTo sdk sdk_version app_file pinned license
Rahmans Watsonx
red
blue
streamlit
1.35.0
app.py
false
mit

Chat with WatsonX LLM:

This project demonstrates how to build a chatbot using Watsonx foundational models integrated with Streamlit. The app allows real-time interactions with a large language model (LLM), providing a simple yet powerful interface to chat with AI.

Features

  • Real-time Conversations: Chat with Watsonx's LLM in a dynamic and responsive interface.
  • Streamlit UI: Fast and user-friendly interface built with Streamlit.
  • Customization: Customize the chatbot's appearance with easy-to-change themes and configurations.

How to Run

  1. Clone the repository.
  2. Install the dependencies using pip install -r requirements.txt.
  3. Run the app with streamlit run app.py.

License

This project is licensed under the MIT License.

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This project showcases how to build a simple, interactive chatbot using Watsonx foundational models and Streamlit. Learn to integrate Watsonx APIs with a real-time user interface for seamless AI conversations. Perfect for beginners and developers looking to create advanced, responsive chatbots.

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