title	emoji	sdk	sdk_version	app_file	pinned
InkChatGPT	📚	streamlit	1.33.0	app.py	true

📚 InkChatGPT - Chat with Documents

🤗 Hugging Face

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InkChatGPT

InkChatGPT is a Streamlit application that allows users to upload PDF documents and engage in a conversational Q&A with a language model (LLM) based on the content of those documents.

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New front end via Chainlit https://github.com/vinhnx/InkChatGPT/tree/try_chainlit

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Features

• Upload any documents and start asking key information about it, currently supports: PDF, TXT, DOCX, EPUB
• Limit 200MB per file
• Conversational Q&A with LLM (powered by OpenAI's gpt-3.5-turbo model)
• HuggingFace embeddings to generate embeddings for the document chunks with all-MiniLM-L6-v2 model.
• VectorDB for document vector retrieval storage

Prerequisites

• Python 3.7 or later
• OpenAI API key (set as an environment variable: OPENAI_API_KEY)

Installation

1. Clone the repository:

git clone https://github.com/vinhnx/InkChatGPT.git
cd InkChatGPT

2. Setup Virtual Environment We recommend setting up a virtual environment to isolate Python dependencies, ensuring project-specific packages without conflicting with system-wide installations.

python3 -m venv venv
source venv/bin/activate

3. Install the required dependencies:

pip install -r requirements.txt

Usage

1. Set the OPENAI_API_KEY environment variable with your OpenAI API key:

export OPENAI_API_KEY=YOUR_API_KEY

2. Run the Streamlit app:

streamlit run app.py

3. Upload PDF documents and start chatting with the LLM!

Contributing

Contributions are welcome! Please open an issue or submit a pull request if you have any improvements or bug fixes.

License

This project is licensed under the MIT License.