deployment cleanup

README.md

@@ -7,7 +7,7 @@ sdk: gradio
 sdk_version: 5.47.2
 app_file: app.py
 pinned: false
-short_description: A demo for EEG-based music composition and manipulation
+short_description: A demo for EEG-based music composition and manipulation.
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -33,34 +33,23 @@ data_processor = None
 classifier = None
 
 def lazy_init():
-    print("[DEBUG] Entering lazy_init()")
     global sound_control, data_processor, classifier
     if sound_control is None:
-        print("[DEBUG] Initializing SoundManager...")
         sound_control = SoundManager()
     if data_processor is None:
-        print("[DEBUG] Initializing EEGDataProcessor...")
         data_processor = EEGDataProcessor()
     if classifier is None:
-        print("[DEBUG] Initializing MotorImageryClassifier...")
         classifier = MotorImageryClassifier()
     # Load demo data and model if not already loaded
     if app_state['demo_data'] is None or app_state['demo_labels'] is None or app_state['ch_names'] is None:
-        print("[DEBUG] Looking for demo data files...")
         existing_files = [f for f in DEMO_DATA_PATHS if os.path.exists(f)]
-        print(f"[DEBUG] Found files: {existing_files}")
         if existing_files:
-            print("[DEBUG] Processing demo data files...")
             app_state['demo_data'], app_state['demo_labels'], app_state['ch_names'] = data_processor.process_files(existing_files)
-            print("[DEBUG] Demo data loaded.")
         else:
-            print("[DEBUG] No demo data files found.")
             app_state['demo_data'], app_state['demo_labels'], app_state['ch_names'] = None, None, None
     if app_state['demo_data'] is not None and classifier is not None and not hasattr(classifier, '_model_loaded'):
-        print("[DEBUG] Loading classifier model...")
         classifier.load_model(n_chans=app_state['demo_data'].shape[1], n_times=app_state['demo_data'].shape[2])
         classifier._model_loaded = True
-        print("[DEBUG] Classifier model loaded.")
 
 # --- Helper Functions ---
 def get_movement_sounds() -> Dict[str, str]:
@@ -591,10 +580,7 @@ def create_interface():
     return demo
 
 if __name__ == "__main__":
-    print("[DEBUG] Starting app main block...")
     demo = create_interface()
-    print("[DEBUG] Gradio interface created. Launching...")
-    demo.launch(server_name="0.0.0.0", server_port=7867)
-    print("[DEBUG] Gradio app launched.")
+    demo.launch(server_name="0.0.0.0", server_port=7867, show_api=False)
 
 

config.py

@@ -12,7 +12,7 @@ MODEL_DIR = BASE_DIR
 
 
 # Classification settings
-CONFIDENCE_THRESHOLD = 0.7  # Minimum confidence to add sound layer (lowered for testing)
+CONFIDENCE_THRESHOLD = 0.7  # Minimum confidence to add sound layer 
 MAX_COMPOSITION_LAYERS = 4  # Maximum layers in composition
 
 

dockerfile

@@ -1,19 +0,0 @@
-FROM python:3.10-slim
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    ffmpeg \
-    libsm6 \
-    libxext6 \
-    && rm -rf /var/lib/apt/lists/*
-
-WORKDIR /app
-
-COPY requirements.txt .
-RUN pip install --no-cache-dir -r requirements.txt
-
-COPY . .
-
-EXPOSE 7860
-
-CMD ["python", "app.py"]