/assignment_manish

Primary LanguagePython

LLM Data Analyzer

This project provides a Streamlit-based UI for analyzing different types of data (text, images, spreadsheets, and PDFs) using Language Model (LLM) prompts.

LLM Data Analyzer

Setup and Running

Using Docker Compose (Recommended)

  1. Make sure you have Docker and Docker Compose installed on your system.

  2. Clone this repository:

    git clone https://github.com/yourusername/assignment_manish.git
cd assignment_manish

  3. Create a .env file in the project root and add your Unstructured API key and OpenAI API key:

    UNSTRUCTURED_API_KEY=your_unstructured_api_key_here
UNSTRUCTURED_API_URL=https://api.unstructured.io/general/v0/general
OPENAI_API_KEY=your_openai_api_key_here

  4. Build and run the Docker container:

    docker-compose up --build

  5. Open your web browser and go to http://localhost:8501 to access the Streamlit UI.

Manual Setup using venv

  1. Make sure you have Python 3.9+ installed on your system.

  2. Clone this repository:

    git clone https://github.com/yourusername/assignment_manish.git
cd assignment_manish

  3. Create and activate a virtual environment:

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

  4. Install the required packages:

    pip install -r requirements.txt

  5. Create a .env file in the project root and add your Unstructured API key and OpenAI API key:

    UNSTRUCTURED_API_KEY=your_unstructured_api_key_here
UNSTRUCTURED_API_URL=https://api.unstructured.io/general/v0/general
OPENAI_API_KEY=your_openai_api_key_here

  6. Run the Streamlit app:

    streamlit run app/main.py

  7. Open your web browser and go to http://localhost:8501 to access the Streamlit UI.

Usage

  1. Upload a file (text, image, Excel spreadsheet, or PDF) using the file uploader.
  2. Click on either the "Generate Summary" button to analyze the uploaded content.
  3. The results will be displayed below the respective buttons.

Note: This implementation uses the Unstructured API for parsing Excel and PDF files, and the OpenAI API for language model processing. Make sure you have valid API keys for both services to use all features.