Initial Commit

Dockerfile

@@ -0,0 +1,29 @@
+# Use official Python image
+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies (if needed)
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements and install Python dependencies
+COPY requirements.txt ./
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application
+COPY . .
+
+# Expose Streamlit port
+EXPOSE 8501
+
+# Streamlit-specific environment variables
+ENV PYTHONUNBUFFERED=1
+ENV STREAMLIT_SERVER_PORT=8501
+ENV STREAMLIT_SERVER_HEADLESS=true
+ENV STREAMLIT_SERVER_ENABLECORS=false
+
+# Run the Streamlit app
+ENTRYPOINT ["streamlit", "run", "app.py"] 

README.md

@@ -35,12 +35,28 @@ customer_loc.pkl
    streamlit run app.py
    ```
 
+## 🐳 Docker Deployment
+You can also run this app in a Docker container:
+
+1. Build the Docker image:
+   ```bash
+   docker build -t fraudlens-app .
+   ```
+2. Run the container:
+   ```bash
+   docker run -p 8501:8501 fraudlens-app
+   ```
+
+The app will be available at [http://localhost:8501](http://localhost:8501).
+
 ## 🌐 Deploy on Hugging Face Spaces
 1. Push this repo (with all files, including .pkl models) to a public GitHub repository.
 2. Create a new Space on [Hugging Face Spaces](https://huggingface.co/spaces) and select **Streamlit** as the SDK.
 3. In "Repository URL", enter your GitHub repo URL.
 4. The app will build and deploy automatically!
 
+> **Note:** For Docker-based Spaces, select the **Docker** SDK and ensure your Dockerfile is present in the repo.
+
 ## 📦 Requirements
 All dependencies are listed in `requirements.txt`.