Update app.py

app.py

@@ -18,37 +18,68 @@ with tab1:
     
     if uploaded_file and user_name:
         try:
-            file_text = uploaded_file.read().decode("utf-8", errors="ignore")
+            # Process different file types
+            file_extension = uploaded_file.name.split('.')[-1].lower()
             
-            # Create a concise summary request
-            summary_prompt = f"This is a government tender document. Create a very brief summary in 100 words or less."
+            if file_extension == 'pdf':
+                # Handle PDF files
+                try:
+                    import pdfplumber
+                    pdf = pdfplumber.open(uploaded_file)
+                    file_text = ""
+                    # Extract text from first few pages
+                    for i in range(min(5, len(pdf.pages))):
+                        page_text = pdf.pages[i].extract_text() or ""
+                        file_text += page_text + "\n\n"
+                    pdf.close()
+                except Exception as e:
+                    st.error(f"Error processing PDF: {str(e)}")
+                    file_text = "Error extracting PDF content"
+            else:
+                # Handle text files
+                file_content = uploaded_file.read()
+                try:
+                    file_text = file_content.decode("utf-8", errors="ignore")
+                except:
+                    file_text = str(file_content)
             
-            # Process the document in smaller chunks
-            with st.spinner("Analyzing the tender..."):
-                # First get a high-level summary of the document
-                chunks = chunk_text(file_text, max_tokens=3000)
-                summary = ""
-                
-                # Process first chunk to get a summary
-                if chunks:
-                    summary = llm(f"{chunks[0]}\n\n{summary_prompt}")
-                
-                # Now ask targeted questions about the summary
-                analysis_prompt = f"""
-                Based on this tender summary: "{summary}"
-                
-                Please provide the following information for {user_name}:
-                1. What is this tender for? (1-2 sentences)
-                2. What are the key requirements? (3-4 points)
-                3. Who can apply? (1-2 sentences)
-                4. What are important deadlines? (if mentioned)
-                
-                Keep your response concise and easy to understand.
-                """
-                detailed_analysis = llm(analysis_prompt)
-                
-            st.success("Tender Summary:")
-            st.write(detailed_analysis)
+            # Show a preview of the document (first 500 chars)
+            with st.expander("Document Preview"):
+                st.text(file_text[:500] + "..." if len(file_text) > 500 else file_text)
+            
+            # Process the document if we have content
+            if file_text:
+                # Create direct prompt with the document content
+                with st.spinner("Analyzing the tender document..."):
+                    # Chunk the text if needed
+                    chunks = chunk_text(file_text, max_tokens=3000)
+                    
+                    if not chunks:
+                        st.error("Unable to process document - no valid content found")
+                    else:
+                        # Direct analysis of first chunk
+                        analysis_prompt = f"""
+                        The following is a government tender document:
+                        
+                        {chunks[0]}
+                        
+                        Please analyze this tender document and provide a clear, simple explanation for {user_name}:
+                        
+                        1. What is this tender for? (explain the purpose clearly)
+                        2. What are the key requirements to apply?
+                        3. Who is eligible to apply for this tender?
+                        4. What are the important deadlines?
+                        5. What documents or qualifications are needed?
+                        
+                        Address {user_name} directly in your response. Make it personal.
+                        """
+                        
+                        detailed_analysis = llm(analysis_prompt)
+                        
+                st.success("Tender Summary:")
+                st.write(detailed_analysis)
+            else:
+                st.error("Could not extract text from the uploaded file")
         except Exception as e:
             st.error(f"Error processing file: {str(e)}")
             st.info("Try uploading a smaller file or a text extract of the most important sections.")