Update app.py

app.py

@@ -70,4 +70,44 @@ if uploaded_file:
 
     if text:
         # Display the first 500 characters of extracted text
-        st.
+        st.write("Text extracted from file:")
+        st.write(text[:500])  # Show first 500 characters
+
+        # Create FAISS index
+        index, sentences = create_faiss_index(text)
+
+        # Input for user query
+        query = st.text_input("Enter your query:")
+
+        if query:
+            st.write("Retrieving relevant information...")
+            relevant_sentences = retrieve_relevant_sentences(query, index, sentences)
+            filtered_sentences = filter_sentences(query, relevant_sentences)
+
+            # Combine filtered sentences into a single string
+            relevant_text = " ".join(filtered_sentences)
+
+            st.write(f"Relevant Text: {relevant_text}")
+
+            # Answer the question based on the relevant chunk
+            st.write("Answering the question...")
+            try:
+                answer = qa_pipeline(question=query, context=relevant_text)
+                concise_answer = answer['answer']
+                st.write(f"Answer: {concise_answer}")
+            except Exception as e:
+                st.write(f"Error answering question: {str(e)}")
+
+            # Summarize the relevant chunk (concise summary after query answer)
+            if relevant_text.strip():
+                if len(relevant_text.split()) > 20:  # Only summarize if text is long enough
+                    try:
+                        st.write("Summarizing...")
+                        summary = summarizer(relevant_text, max_length=50, min_length=30, do_sample=False)[0]['summary_text']
+                        st.write(f"Summary: {summary}")
+                    except Exception as e:
+                        st.write(f"Error summarizing text: {str(e)}")
+                else:
+                    st.write("Text is too short to summarize.")
+            else:
+                st.write("No relevant text found to summarize.")