Create Dockerfile

Dockerfile

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+# Use an official Python runtime as a parent image
+# Using a slim image reduces the final size
+FROM python:3.10-slim
+
+# Set the working directory in the container
+WORKDIR /code
+
+# Install system dependencies
+# - Update apt package list
+# - Install ffmpeg (essential for the application) and git (often useful for pip installs)
+# - Clean up apt cache to reduce image size
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends ffmpeg git && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Copy the requirements file into the container at /code
+# Copying this separately allows Docker to cache the pip install layer
+COPY requirements.txt .
+
+# Install any needed packages specified in requirements.txt
+# --no-cache-dir reduces image size by not storing the pip cache
+# --upgrade pip ensures the latest pip is used
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application code (app.py) into the container at /code
+COPY app.py .
+
+# Make port 8000 available to the world outside this container
+# Hugging Face Spaces typically expects apps to run on 7860, but uvicorn defaults to 8000.
+# FastAPI/Uvicorn standard is 8000. HF Spaces should map correctly.
+# If you encounter issues, you might need to change this and the CMD port to 7860.
+EXPOSE 8000
+
+# Define environment variable (optional, can be set at runtime too)
+# ENV HF_HOME=/data # Example if models needed downloading, not relevant here.
+
+# Run app.py when the container launches using uvicorn
+# --host 0.0.0.0 makes the server accessible from outside the container
+# --port 8000 specifies the port to run on inside the container
+# app:app tells uvicorn to run the 'app' variable (your FastAPI instance) from the 'app.py' file
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]