creating essential files

Dockerfile

@@ -0,0 +1,32 @@
+# Dockerfile
+
+# 1. Choose a base Python image
+FROM python:3.9-slim # Using Python 3.9 slim variant for smaller size
+
+# 2. Set the working directory inside the container
+WORKDIR /code
+
+# 3. (Optional but recommended) Install system dependencies if needed
+# Example: If yt-dlp needs ffmpeg for specific audio conversions later
+# RUN apt-get update && apt-get install -y --no-install-recommends ffmpeg && apt-get clean && rm -rf /var/lib/apt/lists/*
+
+# 4. Copy the requirements file first (for Docker layer caching)
+COPY ./requirements.txt /code/requirements.txt
+
+# 5. Install Python dependencies
+RUN pip install --no-cache-dir --upgrade pip
+RUN pip install --no-cache-dir --requirement /code/requirements.txt
+
+# 6. Copy the rest of your application code into the container
+COPY . /code/
+# For larger projects, you might copy specific files instead of '.'
+
+# 7. Expose the port the application will run on (HF Spaces expects 7860 usually)
+EXPOSE 7860
+
+# 8. Specify the command to run your application using uvicorn
+#    main: the Python file name (main.py)
+#    app: the FastAPI instance variable name inside main.py (app = FastAPI())
+#    --host 0.0.0.0: Makes the server accessible from outside the container
+#    --port 7860: The port to listen on
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

requirements.txt

@@ -0,0 +1,12 @@
+# requirements.txt
+
+fastapi>=0.100.0 # Using a reasonably recent version
+uvicorn[standard]>=0.23.0 # Server + standard extras (like websockets, though not used now)
+yt-dlp>=2023.11.16 # Get a recent version for YouTube compatibility
+requests>=2.31.0
+python-dotenv>=1.0.0
+huggingface_hub>=0.19.0 # Includes InferenceClient
+
+# Optional: If I decide I need local audio manipulation later
+# pydub
+# ffmpeg-python # Requires ffmpeg binary installed in Dockerfile too!