ChatPDF

ChatPDF is a Streamlit application that allows users to upload PDF documents and interactively ask questions about the content. It utilizes advanced NLP models to provide relevant answers based on the ingested documents.

Features

• Upload and ingest PDF documents.
• Chat with an AI assistant based on the content of the PDFs.
• User-friendly interface with real-time interactions.

Requirements

To run the ChatPDF application, you need the following dependencies. They are listed in requirements.txt, but here are the key ones:

• streamlit
• langchain
• langchain-community
• chatollama
• chromadb
• huggingface-hub
• retrying
• Other libraries as listed in requirements.txt.

Installation

Follow these steps to set up the project:

1. Clone the repository:

   git clone https://github.com/Vignesh02cse/Code-llama.git
   
   cd Code-llama

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source ./.venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required packages:

   Install the dependencies listed in requirements.txt:

   pip install -r requirements.txt

4. Install Ollama:

   To install the Ollama model, follow the instructions specific to your platform:

   • For macOS:

     brew tap ollama/tap
     brew install ollama

   • For Linux:

     You can use the official installation script:

     curl -sSfL https://ollama.com/download | sh

   • For Windows:

     Download the installer from the Ollama website and follow the instructions.

5. Run the application:

   After installing the dependencies, you can run the Streamlit application with the following command:

   streamlit run Main.py

6. Access the application:

   Open your web browser and go to http://localhost:8501 to access the ChatPDF application.

Usage

1. Upload a PDF document: Click on the "Upload a document" button and select your PDF file.
2. Ask questions: Enter your question in the text input field and click "Send" to receive answers based on the document content.
3. Chat with the assistant: Continue the conversation by asking follow-up questions.