Create app.py

app.py

@@ -0,0 +1,42 @@
+import streamlit as st
+import pandas as pd
+from huggify_data.scrape_modules import PDFQnAGenerator
+import tempfile
+
+def main():
+    st.title("PDF Question-Answer Generator")
+    
+    # Sidebar for uploading the PDF file
+    st.sidebar.title("Upload PDF")
+    uploaded_file = st.sidebar.file_uploader("Choose a PDF file", type="pdf")
+    
+    # Text input for OpenAI API key
+    openai_api_key = st.sidebar.text_input("Enter your OpenAI API key", type="password")
+    
+    if uploaded_file is not None and openai_api_key:
+        # Save the uploaded PDF to a temporary file
+        with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as temp_pdf:
+            temp_pdf.write(uploaded_file.read())
+            temp_pdf_path = temp_pdf.name
+        
+        # Process the PDF and generate the questions and answers
+        generator = PDFQnAGenerator(temp_pdf_path, openai_api_key)
+        generator.process_scraped_content()
+        generator.generate_questions_answers()
+        df = generator.convert_to_dataframe()
+        
+        # Display the resulting DataFrame
+        st.subheader("Generated Question-Answer Pairs")
+        st.write(df)
+        
+        # Option to download the DataFrame as a CSV
+        csv = df.to_csv(index=False).encode('utf-8')
+        st.download_button(
+            label="Download as CSV",
+            data=csv,
+            file_name='questions_answers.csv',
+            mime='text/csv',
+        )
+
+if __name__ == "__main__":
+    main()