REFAC: Finalize cache directory setup and improve resource management in Streamlit app

src/streamlit_app.py

@@ -15,11 +15,15 @@ import pandas as pd
 from sklearn.metrics.pairwise import cosine_similarity
 import matplotlib.pyplot as plt
 
-# --- Create a cross-platform, writable cache directory ---
+# --- THIS IS THE FINAL FIX ---
+# Create a cross-platform, writable cache directory for all libraries
 CACHE_DIR = os.path.join(tempfile.gettempdir(), "affectlink_cache")
-os.makedirs(CACHE_DIR, exist_ok=True)
+DEEPFACE_CACHE_PATH = os.path.join(CACHE_DIR, ".deepface", "weights")
+os.makedirs(DEEPFACE_CACHE_PATH, exist_ok=True) # Proactively create the full path
+
 os.environ['DEEPFACE_HOME'] = CACHE_DIR
 os.environ['HF_HOME'] = CACHE_DIR
+# ===========================
 
 # --- Page Configuration ---
 st.set_page_config(page_title="AffectLink Demo", page_icon="😊", layout="wide")
@@ -28,6 +32,10 @@ st.write("Upload a short video clip (under 30 seconds) to see a multimodal emoti
 
 # --- Logger Configuration ---
 # [Logger setup remains the same]
+logging.basicConfig(level=logging.INFO)
+logging.getLogger('deepface').setLevel(logging.ERROR)
+logging.getLogger('huggingface_hub').setLevel(logging.WARNING)
+logging.getLogger('moviepy').setLevel(logging.ERROR)
 
 # --- Emotion Mappings ---
 UNIFIED_EMOTIONS = ['angry', 'happy', 'sad', 'neutral']
@@ -71,9 +79,7 @@ uploaded_file = st.file_uploader("Choose a video file...", type=["mp4", "mov", "
 
 if uploaded_file is not None:
     temp_video_path = None
-    # --- THIS IS THE FIX ---
     video_clip_for_duration = None
-    # ========================
     try:
         with tempfile.NamedTemporaryFile(delete=False, suffix='.mp4') as tfile:
             tfile.write(uploaded_file.read())
@@ -227,8 +233,8 @@ if uploaded_file is not None:
                     st.write("No emotion data available to plot.")
 
     finally:
-        if video_clip_for_duration: video_clip_for_duration.close()
-        if 'temp_audio_path' in locals() and os.path.exists(temp_audio_path): os.unlink(temp_audio_path)
+        if 'video_clip_for_duration' in locals() and video_clip_for_duration: video_clip_for_duration.close()
+        if 'temp_audio_path' in locals() and temp_audio_path and os.path.exists(temp_audio_path): os.unlink(temp_audio_path)
         if temp_video_path and os.path.exists(temp_video_path):
             time.sleep(1)
             try: