title	STOCK_INSPECT
emoji	📊
colorFrom	gray
colorTo	pink
sdk	streamlit
pinned	false
license	apache-2.0

Stock Inspect

Introduction

Stock Inspect is a Streamlit web application designed for stock analysis. It uses the Language Model (Gemini-pro from google) to provide insights based on user-provided stock names from NSE.

Try Hugging Face Demo from Here

Installation

1. Clone the repository:

   git clone git@github.com:kailashsp/Stock_Inspect.git
   cd Stock_Inspect

2. Install the required dependencies:

   pip install -r requirements.txt

3. Setup env file

   1. Create a .env file in the root directory of the project.

   2. Add the following line to your .env file, replacing YOUR_GOOGLE_API_KEY with your actual Google API key:

      GOOGLE_API_KEY=YOUR_GOOGLE_API_KEY

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. The web application will open in your default browser.

3. Enter a stock symbol in the search box to analyze the stock.

Components

Libraries/Frameworks Used

• Pandas: Data manipulation and analysis.
• JSON: Data interchange format.
• Streamlit: Web application framework.
• Streamlit Searchbox: Extension for a searchable dropdown.

Files

• app.py: Main Streamlit application.
• document_preprocessor.py: Module for generating stock fundamentals.
• llm.py: Module for the Language Model (LLM).
• prompt.py: Module containing the stock analysis prompt.
• MCAP31122023.xlsx: Excel file containing stock data.

Configuration

• streamlit_config.toml: Configuration file for Streamlit settings.

Acknowledgments

• Stock data provided by Finology.

License

This project is licensed under the MIT License.