Modified for Hugging Face deployment

Dockerfile

@@ -1,34 +1,20 @@
-# Use stable Python image
-FROM python:3.10
-
-# Install OS dependencies for Pillow and others
-RUN apt-get update && apt-get install -y \
-    build-essential \
-    libjpeg-dev \
-    zlib1g-dev \
-    libpng-dev \
-    libfreetype6-dev \
-    && rm -rf /var/lib/apt/lists/*
+# Use lightweight Python
+FROM python:3.10-slim
 
 # Set working directory
 WORKDIR /app
 
-# Copy requirement files first for caching
-COPY requirements.txt ./
+# Copy requirements first for caching
+COPY requirements.txt .
 
-# Install Python dependencies
+# Install dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the app files
-COPY . /app
+# Copy project files
+COPY . .
 
-# Expose port (the port is dynamic and set by the platform, but 8000 is a good fallback)
+# Expose FastAPI port
 EXPOSE 8000
 
-# Create a script to start Streamlit with dynamic PORT
-RUN echo '#!/bin/bash\n\
-export PORT=${PORT:-8000}\n\
-streamlit run app.py --server.port=$PORT --server.address=0.0.0.0' > /start.sh && chmod +x /start.sh
-
-# Run the script
+# Run FastAPI with uvicorn
 CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000"]

Procfile

@@ -1 +1 @@
-web: streamlit run app.py --server.port=8000 --server.address=0.0.0.0
+web: uvicorn app.main:app --host 0.0.0.0 --port 10000

requirements.txt

@@ -9,9 +9,14 @@ moviepy==1.0.3
 srt
 fastapi
 uvicorn
-
+gtts
+pydantic
+mutagen
+requests
 # Required moviepy dependencies
 imageio
 imageio-ffmpeg
 decorator
 tqdm
+python-multipart
+opencv-python-headless