Upload README.md

README.md

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+# Sentiment Analysis App
+
+![Streamlit](https://img.shields.io/badge/Streamlit-%23FF4B4B?logo=streamlit&logoColor=white)
+![Python](https://img.shields.io/badge/Python-3.8%2B-blue)
+![License](https://img.shields.io/badge/License-MIT-green)
+
+> A clean, production-minded Streamlit app that reads text and returns generic & finance-aware sentiment labels and confidence scores.
+
+---
+
+## Why this project
+
+Market language is different: the same phrase can mean different things in finance compared to casual chat. This app is designed to:
+- prioritize clarity (human-readable outputs),
+- be resilient in deployment (tips to avoid first-run timeouts),
+- and be easy to extend (swap the model, add dashboards).
+
+---
+
+## Quick visual 
+![Demo](assets/demo.gif)  
+
+---
+
+## Project structure
+
+
+- **app.py** - main Streamlit application script  
+- **requirements.txt** - Python dependencies  
+- **setup.sh** - shell script for environment setup  
+- **runtime.txt** - runtime configuration (for deployment, e.g. Heroku)  
+- **.devcontainer/** - config for VSCode / dev container setup  
+- **Data/** - datasets, corpora, lexicons etc.  
+- **finance/** - finance-specific modules, models, tools  
+- **notebooks/**- Jupyter notebooks used during experimentation / prototyping  
+
+---
+
+## Installation & Setup
+
+Below is a typical setup for development and running locally.
+
+1. **Clone the repository**
+
+   ```bash
+   git clone https://github.com/Ani-404/Sentiment-Analysis-App.git
+   cd Sentiment-Analysis-App
+   ```
+2. **(Optional) Create & activate a virtual environment**
+
+   ```bash
+   python3 -m venv venv
+   source venv/bin/activate
+   ```
+   
+3. **Install dependencies**
+   ```bash
+   pip install -r requirements.txt
+   ```
+
+4. **Run the application locally**
+   ```bash
+   streamlit run app.py
+   ```
+---
+
+
+   
+
+