Fix: Readme

README.md

@@ -1,34 +1,97 @@
+```
+---
+title: AgriPredict
+emoji: 🌾
+sdk: streamlit
+app_file: streamlit_app.py
+pinned: false
+---
+
 # AgriPredict (Refactor)
 
-This repository contains a refactored, modularized version of the Streamlit-based AgriPredict dashboard.
+AgriPredict is a refactored, modular, and production-ready version of the original Streamlit-based price forecasting dashboard.  
+This version focuses on better structure, maintainability, and performance.
+
+---
+
+## 📁 Project Structure
+
+```
+
+src/agri_predict/
+│
+├── config.py        # Environment variables, MongoDB client setup
+├── constants.py     # Shared constant mappings (states, markets, crops etc.)
+├── features.py      # Feature engineering functions
+├── data.py          # Data access, scraping, cleaning, preprocessing
+├── models.py        # Model training, forecasting, grid search
+├── plotting.py      # Plot utilities, downloads
+└── utils.py         # Authentication + general helpers
+
+streamlit_app.py     # Streamlit UI entrypoint
+requirements.txt     # Python dependencies
 
-Structure:
+````
 
-- `src/agri_predict` - package with modules:
-  - `config.py` - env & MongoDB connection helpers
-  - `constants.py` - shared constants (state/market mapping)
-  - `features.py` - feature engineering functions
-  - `data.py` - data access, preprocessing and scraping helpers
-  - `models.py` - model training, grid search and forecasting
-  - `plotting.py` - plotting and download helpers
-  - `utils.py` - authentication and utility functions
-- `streamlit_app.py` - Streamlit entrypoint
-- `requirements.txt` - Python dependencies
+---
 
-Run locally:
+## ▶️ Run Locally
 
-1. Create a virtualenv and install dependencies:
+### 1. Create and activate a virtual environment:
 
 ```bash
 python -m venv .venv
 source .venv/bin/activate
+````
+
+### 2. Install dependencies:
+
+```bash
 pip install -r requirements.txt
 ```
 
-2. Set `MONGO_URI` in a `.env` file at project root.
+### 3. Set up environment variables
+
+Create a `.env` file in the **project root**:
+
+```
+MONGO_URI=your_mongo_connection_string
+```
 
-3. Start the app:
+### 4. Start the Streamlit app:
 
 ```bash
 streamlit run streamlit_app.py
 ```
+
+---
+
+## 🚀 Deploy on Hugging Face Spaces
+
+This README already includes the required HF metadata block at the top:
+
+```md
+---
+title: AgriPredict
+emoji: 🌾
+sdk: streamlit
+app_file: streamlit_app.py
+pinned: false
+---
+```
+
+Hugging Face will automatically run:
+
+```
+streamlit run streamlit_app.py
+```
+
+No extra configuration needed.
+
+---
+
+## 📬 Contact
+
+If you face any issues deploying to Hugging Face, reach out or open an issue in the repository.
+
+```