Clean initial commit without binaries

Dockerfile

@@ -41,8 +41,8 @@ RUN pip install --no-cache-dir mediapipe==0.10.21
 RUN pip install --no-cache-dir gradio accelerate modelscope huggingface_hub
 
 # Set environments for models and Gradio
-ENV FACECAM_MODELS_DIR=/data/models
-ENV FACECAM_CKPTS_DIR=/data/ckpts
+ENV FACECAM_MODELS_DIR=/app/models
+ENV FACECAM_CKPTS_DIR=/app/ckpts
 ENV GRADIO_SERVER_NAME=0.0.0.0
 ENV GRADIO_SERVER_PORT=7860
 

app.py

@@ -56,8 +56,8 @@ def process_video(
     if input_video is None:
         raise gr.Error("Please upload an input video")
         
-    model_dir = os.environ.get("FACECAM_MODELS_DIR", "/data/models")
-    ckpt_dir = os.environ.get("FACECAM_CKPTS_DIR", "/data/ckpts")
+    model_dir = os.environ.get("FACECAM_MODELS_DIR", "/app/models")
+    ckpt_dir = os.environ.get("FACECAM_CKPTS_DIR", "/app/ckpts")
     
     # Optional: ensure weights are downloaded lazily if not done at startup
     progress(0.0, desc="Checking weights...")
@@ -167,8 +167,8 @@ with gr.Blocks(title="FaceCam: Portrait Video Camera Control", theme=gr.themes.B
 
 if __name__ == "__main__":
     # Pre-download models on startup if necessary
-    model_dir = os.environ.get("FACECAM_MODELS_DIR", "/data/models")
-    ckpt_dir = os.environ.get("FACECAM_CKPTS_DIR", "/data/ckpts")
+    model_dir = os.environ.get("FACECAM_MODELS_DIR", "/app/models")
+    ckpt_dir = os.environ.get("FACECAM_CKPTS_DIR", "/app/ckpts")
     download_weights(model_dir, ckpt_dir)
     
     demo.launch(server_name="0.0.0.0", server_port=7860, share=False)