Create Dockerfile

Dockerfile

@@ -0,0 +1,27 @@
+# Use the official Hugging Face Python base image
+# This image is optimized for the platform and handles secrets and hardware
+FROM huggingface/python-pytorch:1.13.1-cuda11.6.2-cudnn8-runtime-ubuntu20.04
+
+# Set the working directory inside the container
+WORKDIR /code
+
+# Copy the packages.txt file and install system dependencies (like ffmpeg)
+# The base image has scripts that automatically read this file
+COPY packages.txt packages.txt
+RUN apt-get update && apt-get install -y --no-install-recommends $(cat packages.txt) && \
+    apt-get clean && rm -rf /var/lib/apt/lists/*
+
+# Copy the requirements.txt file and install Python dependencies
+COPY requirements.txt requirements.txt
+RUN pip install --no-cache-dir --upgrade pip && \
+    pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of your application code into the container
+COPY . /code
+
+# Expose the port the app runs on
+EXPOSE 7860
+
+# Command to run the application using uvicorn
+# Hugging Face Spaces automatically sets the PORT environment variable
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]