Welcome to the LLAMA2-CHATGPT Chatbot repository! This project showcases the integration of an open-source GGML (Generative Language Model) using the LLama2 quantized model. The chatbot is designed to provide interactive and context-aware conversations through a Streamlit user interface.
The Local LLAMA2-CHATGPT Chatbot leverages the power of the GGML LLama2 quantized model, combined with the Langchain ctransformer, to enable dynamic and engaging conversations. This project demonstrates how to set up and run a chatbot application locally, allowing you to interact with the model and experience its language generation capabilities.
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Streamlit UI: The chatbot interface is built using Streamlit, a user-friendly framework for creating interactive web applications with minimal effort.
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LLama2 Model: The GGML LLama2 quantized model serves as the foundation for the chatbot's language generation, providing contextually relevant responses.
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Langchain ctransformer: The Langchain ctransformer library is used to load and interact with the LLama2 model efficiently.
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Clone this repository to your local machine using the following command:\n
https://github.com/S-a-n-k-e-t-1998/llama2-ChatGPT -
Navigate to the project directory:\n
cd llama2-ChatGPT -
Install the required dependencies using pip:\n
pip install -r requirements.txt -
Run the chatbot application using Streamlit:\n
streamlit run app.py -
Access the chatbot interface by opening the provided URL in your web browser.
- Type your message in the input box and press "Enter" to send it to the chatbot.
- View the chat history on the right-hand side, with alternating user and chatbot messages.
- Interact with the chatbot in a dynamic and contextually aware conversation.
Contributions to this repository are welcome! If you would like to add new features, fix issues, or improve the chatbot's functionality, please feel free to submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.
Experience the capabilities of the GGML LLama2 quantized model and Langchain ctransformer as you engage in interactive conversations with the Local LLAMA2-CHATGPT Chatbot. Dive into the world of language generation and explore the potential of this open-source project.