Update app.py

app.py

@@ -1,23 +1,32 @@
+# app.py
+
 import streamlit as st
-import pandas as pd
-from utils import load_tenders, format_tender_info
-from model_config import get_model
+from model_config import query_llm
+from utils import extract_text_from_pdf
+
+st.set_page_config(page_title="PPRA Co-Pilot 🇵🇰", layout="centered")
 
 st.title("📑 PPRA Tender Co-Pilot")
-user_name = st.text_input("Enter your name", "Guest")
-
-tenders = load_tenders()
-df = pd.DataFrame(tenders)
-st.subheader("📌 Active Tenders")
-st.dataframe(df)
-
-st.subheader("🤖 Ask About a Tender")
-selected = st.selectbox("Choose a tender", options=[t['Tender No'] for t in tenders])
-chosen = next(t for t in tenders if t["Tender No"] == selected)
-
-if st.button("Generate Response"):
-    llm = get_model()
-    prompt = format_tender_info(chosen, user_name)
-    with st.spinner("Thinking..."):
-        response = llm(prompt, max_length=150, do_sample=True)[0]["generated_text"]
-        st.success(response)
+st.subheader("Your AI Assistant for Government Tender Understanding")
+
+name = st.text_input("Enter your name (for personalization):", "")
+
+uploaded_file = st.file_uploader("Upload a Tender Document (PDF)", type=["pdf"])
+
+if uploaded_file:
+    with st.spinner("Reading your tender..."):
+        text = extract_text_from_pdf(uploaded_file)
+
+    st.text_area("📜 Tender Preview:", value=text[:1000], height=250)
+
+    if st.button("🔍 Analyze with AI"):
+        with st.spinner("Thinking..."):
+            prompt = f"""You are a helpful assistant for government tenders in Pakistan. 
+A user named {name or "User"} has uploaded the following tender:
+
+{text[:2000]}
+
+Summarize the key points, list the eligibility criteria, and suggest action steps for participation. Keep it concise and beginner-friendly."""
+            response = query_llm(prompt)
+        st.success("✅ AI Response:")
+        st.markdown(response)