Update app.py

app.py

@@ -23,7 +23,7 @@ def summarize_text(text: str) -> str:
         summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
         result = summarizer(text, max_length=200, min_length=30, do_sample=False)
 
-        if result and 'summary_text' in result[0]:
+        if result and isinstance(result, list) and 'summary_text' in result[0]:
             return result[0]['summary_text']
         return "Summary not available (model did not return text)."
     except Exception as e:
@@ -45,13 +45,16 @@ def classify_topic(text: str, topics: List[str]) -> str:
     classifier = pipeline("zero-shot-classification", model="valhalla/distilbart-mnli-12-3")
     result = classifier(text[:1000], candidate_labels=topics)
 
-    if 'labels' in result and len(result['labels']) > 0:
+    if 'labels' in result and isinstance(result['labels'], list) and len(result['labels']) > 0:
         return result['labels'][0]
     return "Unknown (classification failed)"
 
 def generate_audio(text: str, output_path: str):
-    tts = gTTS(text)
-    tts.save(output_path)
+    try:
+        tts = gTTS(text)
+        tts.save(output_path)
+    except Exception as e:
+        raise RuntimeError(f"Audio generation failed: {str(e)}")
 
 # ---------- STREAMLIT UI ----------
 st.set_page_config(page_title="Research Paper Summarizer", layout="centered")
@@ -79,6 +82,7 @@ if submitted and uploaded_file and topic_input:
                 f.write(uploaded_file.read())
 
             text = extract_text_from_pdf(file_path)
+            st.info(f"Extracted text length: {len(text)} characters")
 
             if not text.strip():
                 st.error("❌ No text could be extracted from the PDF. Try another file.")