Create Dockerfile

Dockerfile

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+ 1. Base Image: Use a pre-configured Python environment (like a fresh OS install)
+FROM python:3.11-slim
+
+# 2. Setup: Create a folder inside the container to hold your app
+WORKDIR /app
+
+# 3. Dependencies: Copy the requirements file first to cache the installation step
+# (This makes re-building faster if you only change your code but not libraries)
+COPY requirements.txt .
+
+# 4. Install: Run pip to install pandas, streamlit, scikit-learn, etc.
+RUN pip install --no-cache-dir -r requirements.txt
+
+# 5. Application Code: Copy all your files (streamlit.py, models, datasets) into the container
+COPY . .
+
+# 6. Execution: The command to start the application
+# Hugging Face SPECIFIC: You must use port 7860 and address 0.0.0.0
+CMD ["streamlit", "run", "flightprice.py", "--server.port", "7860", "--server.address", "0.0.0.0"]