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| import streamlit as st | |
| 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") | |
| st.title("📄 PPRA Co-Pilot – Understand Government Tenders Easily") | |
| # Load model | |
| llm = get_model() | |
| tab1, tab2, tab3 = st.tabs(["📤 Upload Tender", "📌 View Active Tenders", "📚 PPRA Resources"]) | |
| # Upload Tender Tab | |
| 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: | |
| try: | |
| # Process different file types | |
| file_extension = uploaded_file.name.split('.')[-1].lower() | |
| 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) | |
| # 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.") | |
| # View Active Tenders Tab | |
| with tab2: | |
| st.subheader("🔍 Active Government Tenders") | |
| # 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() | |
| # 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]})") |