Create App.py

App.py

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+import streamlit as st
+import pdfplumber
+from transformers import pipeline
+from gtts import gTTS
+import os
+
+# Function to extract text from PDF
+def extract_text_from_pdf(pdf_file):
+    text = ""
+    try:
+        with pdfplumber.open(pdf_file) as pdf:
+            for page in pdf.pages:
+                text += page.extract_text() or ""
+    except Exception as e:
+        st.error(f"Error reading the PDF: {e}")
+    return text
+
+# Function to generate discussion points
+def generate_discussion_points(text):
+    summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
+    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Function to convert text to speech
+def text_to_speech(text, output_file="output.mp3"):
+    tts = gTTS(text)
+    tts.save(output_file)
+    return output_file
+
+# Streamlit app starts here
+st.title("📄 PDF Discussion Points Generator")
+st.write("Upload a small PDF file to generate discussion points and listen to them.")
+
+# File uploader
+uploaded_file = st.file_uploader("Upload a PDF", type=["pdf"])
+
+if uploaded_file:
+    # Extract text from uploaded PDF
+    with st.spinner("Extracting text from the uploaded PDF..."):
+        pdf_text = extract_text_from_pdf(uploaded_file)
+
+    if pdf_text.strip():
+        st.write("### Extracted Text")
+        st.text_area("Extracted Text", pdf_text, height=200)
+
+        # Generate discussion points
+        with st.spinner("Generating discussion points..."):
+            try:
+                discussion_points = generate_discussion_points(pdf_text)
+                st.write("### Discussion Points")
+                st.text_area("Discussion Points", discussion_points, height=150)
+            except Exception as e:
+                st.error(f"Error during summarization: {e}")
+
+            # Convert discussion points to audio
+            with st.spinner("Converting discussion points to audio..."):
+                try:
+                    audio_file = text_to_speech(discussion_points)
+                    st.success("Audio file generated successfully!")
+                except Exception as e:
+                    st.error(f"Error during text-to-speech conversion: {e}")
+                    audio_file = None
+
+            if audio_file:
+                # Audio playback
+                st.write("### Listen to the Discussion Points")
+                audio_bytes = open(audio_file, "rb").read()
+                st.audio(audio_bytes, format="audio/mp3")
+
+                # Option to download the audio file
+                st.download_button(
+                    label="Download Audio",
+                    data=audio_bytes,
+                    file_name="discussion_points.mp3",
+                    mime="audio/mp3"
+                )
+    else:
+        st.error("No text was extracted from the uploaded PDF. Please try with another file.")
+else:
+    st.info("Upload a PDF file to start.")
+