Update app.py

app.py

@@ -1,5 +1,5 @@
 import streamlit as st
-from utils import fetch_active_tenders, fetch_tender_details, get_ppra_resources
+from utils import fetch_active_tenders, fetch_tender_details, get_ppra_resources, chunk_text
 from model_config import get_model
 
 st.set_page_config(page_title="PPRA Co-Pilot", layout="wide")
@@ -15,40 +15,103 @@ with tab1:
     st.subheader("Upload a Tender Document (PDF or Text)")
     uploaded_file = st.file_uploader("Choose a file", type=["pdf", "txt"])
     user_name = st.text_input("Enter your name")
-
+    
     if uploaded_file and user_name:
-        file_text = uploaded_file.read().decode("utf-8", errors="ignore")
-        query = f"{file_text}\n\nExplain this tender in simple words for {user_name}. What are its requirements?"
-        with st.spinner("Analyzing the tender..."):
-            response = llm(query)
+        try:
+            file_text = uploaded_file.read().decode("utf-8", errors="ignore")
+            
+            # Create a concise summary request
+            summary_prompt = f"This is a government tender document. Create a very brief summary in 100 words or less."
+            
+            # 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(response)
+            st.write(detailed_analysis)
+        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.")
 
 # View Active Tenders Tab
 with tab2:
     st.subheader("🔍 Active Government Tenders")
-    tenders = fetch_active_tenders()
-    tender_titles = [t["title"] for t in tenders]
-    selected = st.selectbox("Select a tender to understand", tender_titles)
-
-    if selected:
-        tender = next(t for t in tenders if t["title"] == selected)
-        st.markdown(f"### 📌 {tender['title']}")
-        st.markdown(f"**Department:** {tender['department']}")
-        st.markdown(f"**Closing Date:** {tender['closing_date']}")
-        st.markdown(f"[View Tender Detail]({tender['link']})")
-
-        if st.button("🧠 Summarize and Explain This Tender"):
-            content = fetch_tender_details(tender['link'])
-            prompt = f"{content}\n\nExplain this tender for a Pakistani citizen. What are the key requirements?"
-            with st.spinner("Generating explanation..."):
-                summary = llm(prompt)
-                st.write(summary)
+    
+    # Add a refresh button
+    if st.button("🔄 Refresh Tenders"):
+        st.experimental_rerun()
+    
+    try:
+        with st.spinner("Fetching active tenders..."):
+            tenders = fetch_active_tenders()
+        
+        if not tenders or len(tenders) == 0:
+            st.warning("No active tenders found or there was an issue fetching the tenders.")
+        else:
+            tender_titles = [t["title"] for t in tenders]
+            selected = st.selectbox("Select a tender to understand", tender_titles)
+            
+            if selected:
+                tender = next((t for t in tenders if t["title"] == selected), None)
+                if tender:
+                    st.markdown(f"### 📌 {tender['title']}")
+                    st.markdown(f"**Department:** {tender['department']}")
+                    st.markdown(f"**Closing Date:** {tender['closing_date']}")
+                    st.markdown(f"[View Tender Detail]({tender['link']})")
+                    
+                    if st.button("🧠 Summarize and Explain This Tender"):
+                        with st.spinner("Fetching tender details..."):
+                            content = fetch_tender_details(tender['link'])
+                        
+                        if content:
+                            prompt = f"This is a government tender document from {tender['department']}. The title is: {tender['title']}.\n\nHere's some content from the tender:\n\n{content}\n\nExplain this tender for a Pakistani citizen. What are the key requirements? Keep your response brief and focus on practical information."
+                            
+                            with st.spinner("Generating explanation..."):
+                                summary = llm(prompt)
+                            
+                            st.write(summary)
+                        else:
+                            st.warning("Unable to fetch tender details. The document might be in PDF format or require login.")
+    except Exception as e:
+        st.error(f"Error displaying active tenders: {str(e)}")
+        st.info("Try refreshing the page or check your internet connection.")
 
 # PPRA Resources Tab
 with tab3:
     st.header("📚 PPRA Official Resources")
     st.markdown("Below are official links to all relevant PPRA documentation and tender policies.")
     resources = get_ppra_resources()
-    for name, url in resources.items():
-        st.markdown(f"- [{name}]({url})")
+    
+    # Group resources by category for better organization
+    categories = {
+        "Main Links": ["Home", "Active Tenders"],
+        "Guidelines & Documents": ["Procurement Guidelines (PDF)", "PPRA Ordinance", "Rules"],
+        "Regulations": [k for k in resources.keys() if "Regulation" in k or "SRO" in k],
+        "Other Resources": ["Board Info", "Blacklisting & Debarment Regulations 2024"]
+    }
+    
+    for category, resource_keys in categories.items():
+        st.subheader(category)
+        for key in resource_keys:
+            if key in resources:
+                st.markdown(f"- [{key}]({resources[key]})")