deploy

Dockerfile

@@ -1,31 +1,26 @@
 FROM python:3.10-slim
 
 # Install system dependencies including ffmpeg
-RUN apt-get update && apt-get install -y \
-    libsndfile1 \
-    ffmpeg \
-    && rm -rf /var/lib/apt/lists/*
+RUN apt-get update && apt-get install -y ffmpeg libsndfile1 && apt-get clean
 
 # Set working directory
 WORKDIR /app
 
 # Create cache and logs directories
-RUN mkdir -p /app/cache /app/logs && \
-    chown -R 1000:1000 /app/cache /app/logs && \
-    chmod -R 775 /app/cache /app/logs
+RUN mkdir -p /app/cache /app/logs && chmod -R 777 /app/cache /app/logs
 
 # Copy requirements and install
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
 # Copy application code
-COPY app.py .
+COPY . .
 
 # Set environment variable for Hugging Face cache
 ENV HF_HOME=/app/cache
 
-# Expose default port (can be overridden by PORT env var)
-EXPOSE 8000
+# Expose Hugging Face Spaces port
+EXPOSE 7860
 
-# Run the FastAPI app with uvicorn, using PORT env var
-CMD ["sh", "-c", "uvicorn app:app --host 0.0.0.0 --port ${PORT:-8000} --workers 1"]
+# Run the FastAPI app with uvicorn
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

app.py

@@ -10,12 +10,15 @@ import subprocess
 import tempfile
 from contextlib import contextmanager
 
+# Create logs directory
+os.makedirs("./logs", exist_ok=True)
+
 # Configure logging
 logging.basicConfig(
     level=logging.INFO,
     format="%(asctime)s [%(levelname)s] %(message)s",
     handlers=[
-        logging.FileHandler("/app/logs/app.log"),
+        logging.FileHandler("./logs/app.log"),
         logging.StreamHandler(sys.stdout)
     ]
 )
@@ -33,9 +36,9 @@ except ImportError as e:
     raise
 
 # Set up cache directory
-os.makedirs("/app/cache", exist_ok=True)
-os.environ["HF_HOME"] = "/app/cache"
-logger.info(f"Set HF_HOME to /app/cache")
+os.makedirs("./cache", exist_ok=True)
+os.environ["HF_HOME"] = "./cache"
+logger.info(f"Set HF_HOME to ./cache")
 
 # Initialize FastAPI app
 app = FastAPI(title="Quran Transcription API")
@@ -55,7 +58,7 @@ async def debug():
         "model_loaded": model is not None,
         "pipeline_initialized": asr is not None,
         "cache_dir": os.getenv("HF_HOME"),
-        "port": os.getenv("PORT", "8000")
+        "port": os.getenv("PORT", "7860")
     }
 
 # Load model and processor
@@ -156,7 +159,7 @@ async def startup_event():
     logger.info(f"Memory allocated: {torch.cuda.memory_allocated() if torch.cuda.is_available() else 'N/A'}")
 
 if __name__ == "__main__":
-    port = int(os.getenv("PORT", 8000))  # Use PORT env var or default to 8000
+    port = int(os.getenv("PORT", 7860))  # Use PORT env var or default to 7860
     logger.info(f"Starting Uvicorn server on port {port}")
     uvicorn.run(
         "app:app",