Update app.py

app.py

@@ -77,18 +77,23 @@ with st.spinner("Creating vector store..."):
 
 st.success("✅ **Vector Store Created!**")
 
-    # Step 5: Query Input
-    query = st.text_input("🔍 Enter a Query:")
-    if query:
-        with st.spinner("Retrieving relevant contexts..."):
-            retriever = vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 5})
-            contexts = retriever.invoke(query)
-            context_texts = [doc.page_content for doc in contexts]
-
-        st.success(f"✅ **Retrieved {len(context_texts)} Contexts!**")
-        for i, text in enumerate(context_texts, 1):
-            st.write(f"**Context {i}:** {text[:500]}...")
-
+# Step 5: Query Input
+query = st.text_input("🔍 Enter a Query:")
+if query:
+    with st.spinner("Retrieving relevant contexts..."):
+        retriever = vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 5})
+        contexts = retriever.invoke(query)
+        context_texts = [doc.page_content for doc in contexts]
+
+    st.success(f"✅ **Retrieved {len(context_texts)} Contexts!**")
+    for i, text in enumerate(context_texts, 1):
+        st.write(f"**Context {i}:** {text[:500]}...")
+
+       
+        
+        
+      -----------------  
+        
         # Step 6: Context Relevancy Checker
         with st.spinner("Evaluating context relevancy..."):
             relevancy_prompt = PromptTemplate(