leodeveloper / chat-with-multiple-files-llamaindex

Creating a chat application that can handle multiple files using LlamaIndex, OpenAI, and Streamlit involves several steps

Chat-with-multiple-files-llamaindex

Creating a chat application that can handle multiple files using LlamaIndex, OpenAI, and Streamlit involves several steps

Multi-File Chat Application

This repository contains a chat application that allows users to upload multiple files, processes these files to extract information, and then uses an AI model (OpenAI's GPT-4) to answer questions or provide insights based on the content of the files. The application is built using Streamlit for the front-end interface, LlamaIndex for indexing and searching through the content, and OpenAI for the natural language processing capabilities.

Features

• Upload multiple text files.
• Index and search content from the uploaded files.
• Ask questions and get answers based on the content of the files using OpenAI's GPT-4.

Requirements

• Python 3.8 or higher
• streamlit library
• openai library
• llama-index library

Installation

1. Clone the repository:

   git clone https://github.com/leodeveloper/Chat-with-multiple-files-llamaindex
   cd Chat-with-multiple-files-llamaindex

2. Install the required Python packages:

   pip install streamlit openai llama-index

3. Set up your OpenAI API key:

   Obtain your API key from OpenAI and set it as an environment variable or replace 'YOUR_OPENAI_API_KEY' in the script with your actual API key.

   export OPENAI_API_KEY='your-api-key'

Application Flow

1. Upload Files: Use the file uploader to upload multiple text files.
2. Indexing: The content of the uploaded files is read and indexed using LlamaIndex.
3. Ask Questions: Input your questions in the chat interface.
4. Get Answers: The application retrieves relevant content from the indexed files and uses OpenAI's GPT-4 to generate and display answers.

Example

1. Upload Files: Select and upload multiple text files.
2. Ask a Question: Type a question related to the content of the uploaded files.
3. Receive an Answer: The application provides an answer based on the indexed content and AI processing.

Contributing

Contributions are welcome! Please submit a pull request or open an issue to discuss any changes or improvements.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

• Streamlit
• OpenAI
• LlamaIndex

Contact

For any questions or suggestions, please feel free to reach out to [[email protected]].