Update app.py

app.py

@@ -1,54 +1,5 @@
-# app.py (Streamlit-only version for Hugging Face Spaces)
-
-import os
-import tempfile
-from typing import List
-
-import fitz  # PyMuPDF
-import requests
-from transformers import pipeline
-from gtts import gTTS
-import streamlit as st
-
-# ---------- CONFIG ----------
-def summarize_text(text: str) -> str:
-    summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
-    return summarizer(text, max_length=200, min_length=30, do_sample=False)[0]['summary_text']
-
-def extract_text_from_pdf(pdf_path: str) -> str:
-    doc = fitz.open(pdf_path)
-    text = ""
-    for page in doc:
-        text += page.get_text()
-    return text
-
-def classify_topic(text: str, topics: List[str]) -> str:
-    classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
-    result = classifier(text[:1000], candidate_labels=topics)
-    return result['labels'][0]
-
-def generate_audio(text: str, output_path: str):
-    tts = gTTS(text)
-    tts.save(output_path)
-
-# ---------- STREAMLIT UI ----------
-st.set_page_config(page_title="Research Paper Summarizer", layout="centered")
-st.title("📄 AI Research Paper Summarizer")
-
-st.markdown("""
-Upload a research paper (PDF) and a list of topics. The app will:
-1. Extract and summarize the paper
-2. Classify it into a topic
-3. Generate an audio summary 🎧
-""")
-
-with st.form("upload_form"):
-    uploaded_file = st.file_uploader("Upload a PDF file", type=["pdf"])
-    topic_input = st.text_input("Enter comma-separated topics")
-    submitted = st.form_submit_button("Summarize and Generate Audio")
-
-if submitted and uploaded_file and topic_input:
-    with st.spinner("Processing paper..."):
+with st.spinner("Processing paper..."):
+    try:
         temp_dir = tempfile.mkdtemp()
         file_path = os.path.join(temp_dir, uploaded_file.name)
 
@@ -69,4 +20,7 @@ if submitted and uploaded_file and topic_input:
 
         st.markdown("### 🔊 Audio Summary")
         st.audio(audio_path)
-        st.success("Done! Audio summary is ready.")
+        st.success("Done! Audio summary is ready.")
+
+    except Exception as e:
+        st.error(f"❌ Error: {str(e)}")