Create app.py

app.py

@@ -0,0 +1,38 @@
+import streamlit as st
+import PyPDF2
+from transformers import pipeline
+from gtts import gTTS
+
+# Function to read the PDF and extract text
+def extract_text_from_pdf(pdf_file):
+    pdf_reader = PyPDF2.PdfFileReader(pdf_file)
+    text = ""
+    for page_num in range(pdf_reader.numPages):
+        text += pdf_reader.getPage(page_num).extract_text()
+    return text
+
+# Function to generate discussion points
+def generate_discussion_points(text):
+    summarizer = pipeline('summarization')
+    summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
+    return summary[0]['summary_text']
+
+# Function to convert text to speech
+def text_to_speech(text):
+    tts = gTTS(text=text, lang='en')
+    tts.save("discussion_points.mp3")
+
+# Streamlit app
+st.title("PDF Discussion Points Generator")
+uploaded_file = st.file_uploader("Upload a PDF file", type=["pdf"])
+
+if uploaded_file is not None:
+    text = extract_text_from_pdf(uploaded_file)
+    discussion_points = generate_discussion_points(text)
+    st.subheader("Generated Discussion Points")
+    st.write(discussion_points)
+    
+    text_to_speech(discussion_points)
+    audio_file = open("discussion_points.mp3", "rb")
+    audio_bytes = audio_file.read()
+    st.audio(audio_bytes, format='audio/mp3')