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app.py

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+
+import streamlit as st
+import pandas as pd
+from sentence_transformers import SentenceTransformer
+import numpy as np
+import faiss
+
+# Load data
+df = pd.read_csv("frameworks.csv")
+
+# Embed the scope column
+model = SentenceTransformer("all-MiniLM-L6-v2")
+scope_embeddings = model.encode(df["scope"].tolist())
+index = faiss.IndexFlatL2(scope_embeddings.shape[1])
+index.add(np.array(scope_embeddings))
+
+st.set_page_config(page_title="AI Framework/DPS Finder", layout="centered")
+st.title("🤖 AI-Powered Framework & DPS Finder")
+
+st.markdown("""Fill in your procurement details and our AI will recommend suitable frameworks or DPS options.""")
+
+with st.form("proc_form"):
+    authority_type = st.selectbox("1. What type of contracting authority are you?", ["Local authority", "NHS", "Central government", "Utility"])
+    award_method = st.selectbox("2. Would you prefer to direct award or run a mini-competition?", ["Direct award", "Mini-competition", "Either"])
+    contract_value = st.number_input("3. Expected contract value (incl. VAT)", min_value=0)
+    duration = st.text_input("4. Expected contract duration (incl. extensions)")
+    description = st.text_area("5. Briefly describe the type of service needed and main deliverables")
+    submit = st.form_submit_button("🔍 Find Frameworks")
+
+if submit:
+    if description.strip() == "":
+        st.warning("Please enter a service description.")
+    else:
+        query_vec = model.encode([description])
+        D, I = index.search(np.array(query_vec), k=5)
+        candidates = df.iloc[I[0]]
+
+        # Filter based on authority, value cap, and award method
+        matches = candidates[
+            (candidates["authority_types"].str.contains(authority_type, case=False)) &
+            (candidates["value_cap"] >= contract_value) &
+            (
+                (award_method == "Either") |
+                ((award_method == "Direct award") & (candidates["direct_award"] == "Yes")) |
+                ((award_method == "Mini-competition") & (candidates["direct_award"] == "No"))
+            )
+        ]
+
+        st.subheader("🔎 Recommended Frameworks")
+        if matches.empty:
+            st.error("No suitable frameworks found. You may need to consider running a new procurement competition or expanding your criteria.")
+        else:
+            top_n = min(len(matches), 3)
+            for i in range(top_n):
+                row = matches.iloc[i]
+                st.success(f"✅ {row['name']}")
+                st.markdown(f"- **Provider:** {row['provider']}")
+                st.markdown(f"- **Scope:** {row['scope']}")
+                st.markdown(f"- **Direct Award:** {row['direct_award']}")
+                st.markdown(f"- **Value Cap:** £{row['value_cap']:,}")
+                st.markdown(f"- [🔗 View Framework]({row['link']})")
+                st.markdown("---")

frameworks.csv

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+name,provider,scope,direct_award,link,value_cap,authority_types
+RM6259 – Case Management Software,CCS,"Cloud-based systems for local government, case management, digital services",Yes,https://www.crowncommercial.gov.uk/agreements/RM6259,250000,"Local authority,NHS"
+ESPO 664 – HR Consultancy Services,ESPO,"HR advisory, organisational development, workforce planning",Yes,https://www.espo.org/Frameworks/HR-Consultancy,500000,"Local authority,Central government"
+YPO 985 – IT and Case Management,YPO,"Social care case systems, education support platforms, digital workflow tools",No,https://www.ypo.co.uk/frameworks-home,300000,Local authority

requirements.txt

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+streamlit
+pandas
+sentence-transformers
+faiss-cpu