Update: Fetching model from Hub instead of local path

src/streamlit_app.py

@@ -63,13 +63,21 @@ def save_smart_data(text, ai_label, ai_score, corrected_label=None):
         df.to_csv(FEEDBACK_FILE, mode='a', header=False, index=False)
 
 # --- MODEL ENGINE PATH FIX ---
-# Change this line:
+# 1. This must be your EXACT Model Repo name from Screenshot 281
 MODEL_PATH = "SumedhGajbhiye/Sentiment-Analyzer" 
 
 @st.cache_resource
-def load_engine(path):
-    # This will now download the model from your Model Repo automatically
-    return pipeline("sentiment-analysis", model=path, tokenizer=path, device=-1)
+def load_engine():
+    try:
+        # We use the repo name directly. 
+        # Transformers will automatically download it if it's not local.
+        return pipeline("sentiment-analysis", model=MODEL_PATH, tokenizer=MODEL_PATH)
+    except Exception as e:
+        st.error(f"Error loading model: {e}")
+        return None
+
+# Remove or comment out any code that does: 
+# if not os.path.exists(MODEL_PATH): st.error("Not found")
 
 # --- HEADER SECTION ---
 st.title("Sentiment Analyzer")