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README.md

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-# Finance Buddy
-
-Finance Buddy is a sophisticated Streamlit application designed to analyze P&L documents and answer financial queries using Google Generative AI. This tool is perfect for financial analysts, accountants, and anyone dealing with financial statements.
-
-## Table of Contents
-
-- [Features](#features)
-- [Prerequisites](#prerequisites)
-- [Setup](#setup)
-  - [Using Docker](#using-docker)
-  - [Local Setup](#local-setup)
-- [Usage](#usage)
-- [Contributing](#contributing)
-- [License](#license)
-
-## Features
-
-- **Document Upload**: Upload multiple P&L documents in PDF format.
-- **Document Processing**: Process uploaded documents to extract and analyze financial data.
-- **Query System**: Ask questions about your financial data and get accurate, professional responses.
-- **Integration with Google Generative AI**: Leverage advanced AI capabilities for accurate and context-aware responses.
-
-## Prerequisites
-
-- Docker (for containerized deployment)
-- Python 3.8+
-- Streamlit
-- Google Generative AI API Key
-
-## Setup
-
-### Using Docker
-
-1. **Clone the repository:**
-
-    ```sh
-    git clone <repository_url>
-    cd finance-buddy
-    ```
-
-2. **Build the Docker image:**
-
-    ```sh
-    docker build -t finance-buddy .
-    ```
-
-3. **Run the Docker container:**
-
-    ```sh
-    docker run -p 8501:8501 finance-buddy
-    ```
-
-4. **Access the application:**
-
-    Open your browser and go to `http://localhost:8501`.
-
-### Local Setup
-
-1. **Clone the repository:**
-
-    ```sh
-    git clone <repository_url>
-    cd finance-buddy
-    ```
-
-2. **Create a virtual environment and activate it:**
-
-    ```sh
-    python -m venv venv
-    source venv/bin/activate  # On Windows use `venv\Scripts\activate`
-    ```
-
-3. **Install the required packages:**
-
-    ```sh
-    pip install -r requirements.txt
-    ```
-
-4. **Create a `.env` file and add your Google API Key:**
-
-    ```sh
-    GOOGLE_API_KEY=your_google_api_key_here
-    ```
-
-5. **Run the Streamlit application:**
-
-    ```sh
-    streamlit run app.py
-    ```
-
-6. **Access the application:**
-
-    Open your browser and go to `http://localhost:8501`.
-
-## Usage
-
-### Uploading and Processing Documents
-
-1. **Upload P&L Documents:**
-
-    Use the sidebar to upload your P&L documents in PDF format.
-
-2. **Process Documents:**
-
-    Click the "Process Documents" button to process the uploaded files.
-
-### Asking Questions
-
-1. **Enter Your Query:**
-
-    Enter your financial queries in the input box.
-
-2. **Get Responses:**
-
-    The application will analyze the processed documents and provide accurate responses based on the financial data.
-
-### Example Queries
-
-- "What was the total revenue for the last quarter?"
-- "How much did we spend on marketing last year?"
-- "What is the net profit margin for the current fiscal year?"
-
-## Contributing
-
-Contributions are welcome! Please follow these steps to contribute:
-
-1. Fork the repository.
-2. Create a new branch (`git checkout -b feature-branch-name`).
-3. Commit your changes (`git commit -am 'Add some feature'`).
-4. Push to the branch (`git push origin feature-branch-name`).
-5. Create a new Pull Request.
-
-## License
-
-This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.
-
-## Acknowledgments
-
-- Thanks to the Streamlit and Google Generative AI teams for their excellent tools and documentation.
-- Special thanks to the open-source community for their contributions and support.
-
-## Contact
-
-For any questions or support, please open an issue or contact the maintainers directly.
-
----
-
-Made ❤️ by Vikrant Kumar