Update app.py

app.py

@@ -5,7 +5,6 @@ import io
 from pydub import AudioSegment
 from youtube_transcript_api import YouTubeTranscriptApi
 import PyPDF2
-from fpdf import FPDF
 
 # Set OpenAI API key
 openai.api_key = os.getenv('OPENAI_API_KEY')
@@ -34,7 +33,7 @@ def transcribe_audio(audio_file):
 
 # Function to extract text from PDF and split it into chunks
 def extract_text_from_pdf(pdf_file):
-    reader = PyPDF2.PdfReader(pdf_file)
+    reader = PyPDF2.PdfReader(io.BytesIO(pdf_file.read()))
     text = ""
     for page in reader.pages:
         text += page.extract_text() + "\n"
@@ -89,7 +88,6 @@ def main():
     st.sidebar.markdown("### Steps to Use the Tool:")
     st.sidebar.markdown("1. Upload an audio file (25MB max), PDF, or YouTube URL for notes.")
     st.sidebar.markdown("2. Click on 'Generate Notes' to get AI-generated notes.")
-    st.sidebar.markdown("3. Use 'Download Notes as PDF' to save them locally.")
 
     # File uploader or URL input based on selected type
     audio_input = pdf_input = youtube_input = None
@@ -127,24 +125,8 @@ def main():
     if 'summary' in st.session_state:
         st.markdown("---")
         st.subheader("Generated Notes")
-        st.text_area("", st.session_state['summary'], height=400)
-
-        # Button to save notes as PDF
-        pdf = FPDF()
-        pdf.add_page()
-        pdf.set_auto_page_break(auto=True, margin=15)
-        pdf.set_font("Arial", size=12)
-        for line in st.session_state['summary'].split('\n'):
-            pdf.multi_cell(0, 10, line)
-        pdf_output = io.BytesIO()
-        pdf.output(pdf_output)
-        pdf_output.seek(0)
-        st.download_button(
-            label="Download Notes as PDF",
-            data=pdf_output,
-            file_name="notes.pdf",
-            mime="application/pdf"
-        )
+        formatted_notes = '\n\n'.join([f'• {line.strip()}' for line in st.session_state['summary'].split('\n')])
+        st.text_area("", formatted_notes, height=400)
 
 if __name__ == "__main__":
     main()