Update model.py

model.py

@@ -28,11 +28,16 @@ emotion_model = pipeline("text-classification", model="j-hartmann/emotion-englis
 def summarize_review(text, max_len=100, min_len=30):
     try:
         result = summarizer(text, max_length=max_len, min_length=min_len, do_sample=False)
-        return result[0]["summary_text"]
+        if result and isinstance(result, list) and "summary_text" in result[0]:
+            return result[0]["summary_text"]
+        else:
+            logging.warning("Summarizer output malformed, falling back.")
+            return text
     except Exception as e:
         logging.warning(f"Fallback to raw text due to summarization error: {e}")
         return text
 
+
 # === Smart Summarization with Clustering ===
 def smart_summarize(text, n_clusters=1):
     try:
@@ -60,12 +65,18 @@ def smart_summarize(text, n_clusters=1):
 
 # === Emotion Detection (Fixed) ===
 def detect_emotion(text):
-    result = emotion_model(text, top_k=1)
-    if isinstance(result, list) and isinstance(result[0], dict):
-        return result[0]["label"]
-    elif isinstance(result, dict) and "label" in result:
-        return result["label"]
-    else:
+    if not text.strip():
+        return "neutral"
+    try:
+        result = emotion_model(text, top_k=1)
+        if isinstance(result, list) and isinstance(result[0], dict):
+            return result[0]["label"]
+        elif isinstance(result, dict) and "label" in result:
+            return result["label"]
+        else:
+            return "neutral"
+    except Exception as e:
+        logging.warning(f"Emotion detection failed: {e}")
         return "neutral"
     
 # === Follow-up Q&A ===