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README.md

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-<<<<<<< HEAD
-# 📧 Smart Email Classifier: Classifying emails using Natural Language Processing (NLP)
-
-[![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://python.org)
-[![Streamlit](https://img.shields.io/badge/Streamlit-App%20Framework-red.svg)](https://streamlit.io/)
-[![License](https://img.shields.io/badge/License-Apache-yellow.svg)](https://www.apache.org/licenses/LICENSE-2.0.txt)
-
-> **Smart Email Classifier application is your companion to classify emails of different types based on email subject or body using advanced Natural Language Processing (NLP) techniques and fine-tuned model.**
-
-
-## 🧠 Categories
-- 📢 **Promotions**
-- 🚫 **Spam**
-- 💬 **Social Media Updates**
-- 🗣️ **Forum Updates**
-- 🔢 **Code Verification**
-- 💼 **Work Updates**
-
----
-
-## 🧩 Project Structure
-
-```
-Email-Classifier-AI/
-│
-├── app.py                                # Main Streamlit application
-├── .env                                  # Secret API Keys (ignored by Git)
-├── requirements.txt                      # Required Python dependencies
-├── Dockerfile                            # Docker setup for Hugging Face deployment
-├── README.md                             # Project documentation
-└── .gitignore                            # Ignored files
-```
-
----
-
-## ⚙️ Installation and Setup
-
-### 1️⃣ Create a Virtual Environment (Recommended)
-
-```bash
-python -m venv venv
-source venv/bin/activate       # (Linux/Mac)
-venv\Scripts\activate          # (Windows)
-```
-
-### 2️⃣ Install Dependencies
-
-```bash
-pip install -r requirements.txt
-```
-
-### 3️⃣ Add Your API Keys (if any)
-
-Create a `.env` file in your project root:
-
-```bash
-HF_TOKEN=<Your HF Token>
-MODEL_REPO=kaisarhossain/email-classifier-distilbert-finetuned-kaisar
-```
-
----
-
-## ▶️ Run the App Locally
-
-```bash
-streamlit run app.py
-```
-
-The app will launch automatically in your browser at:
-```
-http://localhost:8501
-```
-
----
-
-## 🐳 Deploying on Hugging Face (Docker Method)
-
-### 1️⃣ Create a `Dockerfile`
-Example:
-```dockerfile
-# Base image
-FROM python:3.10
-
-# Set working directory
-WORKDIR /app
-
-# Copy project files
-COPY . .
-
-# Install dependencies
-RUN pip install -r requirements.txt
-
-# Expose Streamlit port
-EXPOSE 8501
-
-# Run Streamlit app
-CMD ["streamlit", "run", "email_classifier_streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
-```
-
-### 2️⃣ Push to Hugging Face Space
-
-- Create a new **Hugging Face Space** → Select **Docker** as the SDK.  
-- Connect your **GitHub repository** or upload the project manually.  
-- Hugging Face automatically builds and runs your app.
-
----
-
-## 🧾 Example Usage
-
-**Input:**  
-> "Your verification code is 348211. Please do not share it with anyone."
-
-**Predicted Category:**  
-> 🔢 **Code Verification**
-
----
-
-## 💡 Future Enhancements
-- Add email body + subject dual-input model  
-- Integrate real-time Gmail API ingestion  
-- Add multilingual email classification  
-- Enable fine-tuning with user-specific data  
-
----
-
-## 🤝 Contributing
-Contributions are welcome!  
-Fork this repo, make your improvements, and submit a pull request.
-
----
-
-## 🪪 License
-This project is licensed under the **Apache 2.0 License** — feel free to use and modify it.
-
----
-
-## 👨‍💻 Author
-Mohammed Golam Kaisar Hossain Bhuyan
-🚀 AI | ML | NLP | Deep Learning  
-🔗 [LinkedIn](https://www.linkedin.com/in/kaisarhossain) | [GitHub](https://github.com/kaisarhossain)
-
----
+# 📧 Smart Email Classifier: Classifying emails using Natural Language Processing (NLP)
+
+[![Python](https://img.shields.io/badge/Python-3.10+-blue.svg)](https://python.org)
+[![Streamlit](https://img.shields.io/badge/Streamlit-App%20Framework-red.svg)](https://streamlit.io/)
+[![License](https://img.shields.io/badge/License-Apache-yellow.svg)](https://www.apache.org/licenses/LICENSE-2.0.txt)
+
+> **Smart Email Classifier application is your companion to classify emails of different types based on email subject or body using advanced Natural Language Processing (NLP) techniques and fine-tuned model.**
+
+
+## 🧠 Categories
+- 📢 **Promotions**
+- 🚫 **Spam**
+- 💬 **Social Media Updates**
+- 🗣️ **Forum Updates**
+- 🔢 **Code Verification**
+- 💼 **Work Updates**
+
+---
+
+## 🧩 Project Structure
+
+```
+Email-Classifier-AI/
+│
+├── app.py                                # Main Streamlit application
+├── .env                                  # Secret API Keys (ignored by Git)
+├── requirements.txt                      # Required Python dependencies
+├── Dockerfile                            # Docker setup for Hugging Face deployment
+├── README.md                             # Project documentation
+└── .gitignore                            # Ignored files
+```
+
+---
+
+## ⚙️ Installation and Setup
+
+### 1️⃣ Create a Virtual Environment (Recommended)
+
+```bash
+python -m venv venv
+source venv/bin/activate       # (Linux/Mac)
+venv\Scripts\activate          # (Windows)
+```
+
+### 2️⃣ Install Dependencies
+
+```bash
+pip install -r requirements.txt
+```
+
+### 3️⃣ Add Your API Keys (if any)
+
+Create a `.env` file in your project root:
+
+```bash
+HF_TOKEN=<Your HF Token>
+MODEL_REPO=kaisarhossain/email-classifier-distilbert-finetuned-kaisar
+```
+
+---
+
+## ▶️ Run the App Locally
+
+```bash
+streamlit run app.py
+```
+
+The app will launch automatically in your browser at:
+```
+http://localhost:8501
+```
+
+---
+
+## 🐳 Deploying on Hugging Face (Docker Method)
+
+### 1️⃣ Create a `Dockerfile`
+Example:
+```dockerfile
+# Base image
+FROM python:3.10
+
+# Set working directory
+WORKDIR /app
+
+# Copy project files
+COPY . .
+
+# Install dependencies
+RUN pip install -r requirements.txt
+
+# Expose Streamlit port
+EXPOSE 8501
+
+# Run Streamlit app
+CMD ["streamlit", "run", "email_classifier_streamlit_app.py", "--server.port=8501", "--server.address=0.0.0.0"]
+```
+
+### 2️⃣ Push to Hugging Face Space
+
+- Create a new **Hugging Face Space** → Select **Docker** as the SDK.  
+- Connect your **GitHub repository** or upload the project manually.  
+- Hugging Face automatically builds and runs your app.
+
+---
+
+## 🧾 Example Usage
+
+**Input:**  
+> "Your verification code is 348211. Please do not share it with anyone."
+
+**Predicted Category:**  
+> 🔢 **Code Verification**
+
+---
+
+## 💡 Future Enhancements
+- Add email body + subject dual-input model  
+- Integrate real-time Gmail API ingestion  
+- Add multilingual email classification  
+- Enable fine-tuning with user-specific data  
+
+---
+
+## 🤝 Contributing
+Contributions are welcome!  
+Fork this repo, make your improvements, and submit a pull request.
+
+---
+
+## 🪪 License
+This project is licensed under the **Apache 2.0 License** — feel free to use and modify it.
+
+---
+
+## 👨‍💻 Author
+Mohammed Golam Kaisar Hossain Bhuyan
+🚀 AI | ML | NLP | Deep Learning  
+🔗 [LinkedIn](https://www.linkedin.com/in/kaisarhossain) | [GitHub](https://github.com/kaisarhossain)
+
+---
 =======
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 title: Smart Email Classification App