This repository contains a Streamlit application that allows users to interact with a conversational chatbot powered by the LangChain API. The application uses the Groq API to generate responses and maintains a history of the conversation to provide context for the chatbot's responses.
Groq is a powerful language model API that provides natural language processing capabilities for a wide range of applications. It offers state-of-the-art language understanding and generation capabilities, making it ideal for building conversational interfaces and text-based applications.
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Conversational Interface: The application provides a conversational interface where users can ask questions or make statements, and the chatbot responds accordingly.
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Contextual Responses: The application maintains a history of the conversation, which is used to provide context for the chatbot's responses.
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LangChain Integration: The chatbot is powered by the LangChain API, which uses advanced natural language processing techniques to generate human-like responses.
To use this application, you need to have Streamlit and the other required Python libraries installed. You also need to have a Groq API key, which you can obtain by signing up on the Groq website.
Once you have the necessary requirements, you can run the application by executing the script with Streamlit:
streamlit run app.py
This will start the Streamlit server and open the application in your web browser. You can then interact with the chatbot, and the application will generate responses based on the history of the conversation.
streamlit: For creating interactive web applications.groq: To interact with the Groq API.langchain: For managing conversational memory.langchain-groq: Integration for using Groq with Langchain.python-dotenv: For loading environment variables from .env.
