Update app.py

app.py

@@ -177,7 +177,7 @@ elif st.session_state.pdf_loaded and st.session_state.chunked and st.session_sta
     
 if query:
     with st.spinner("🔄 Retrieving relevant context..."):
-        retriever = st.session_state.vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 5})
+        retriever = st.session_state.vector_store.as_retriever(search_type="similarity", search_kwargs={"k": 3})
         contexts = retriever.invoke(query)
         # Debugging: Check what was retrieved
         #st.write("Retrieved Contexts:", contexts)
@@ -206,8 +206,8 @@ if query:
         - 0: The content has all the necessary information to answer the QUERY
         - 1: The content does not has the necessary information to answer the QUERY
         
-        ```
-        EXAMPLE:
+        
+EXAMPLE:
         INPUT (for context only, not to be used for faithfulness evaluation):
         What is the capital of France?
         
@@ -220,7 +220,7 @@ if query:
         
         RESPONSE:
         {{"score":0}}
-        ```
+
         
         CONTENT LIST:
         {context}
@@ -314,30 +314,28 @@ if query:
 
         final_output = context_management_chain({"context":context,"retriever_query":query,"query":query})
 
-        st.markdown("## 💡 **Final Answer:**")
-        st.success(final_output["final_response"] if final_output["final_response"] else "⚠️ No clear answer found based on retrieved content.")
-
-        # 📂 Expand for Details
-        with st.expander("📖 **View Detailed Processing (Relevance, Retrieved Contexts, Analysis)**"):
-            # 📌 Relevance Analysis
-            st.markdown("### 📌 **Relevance Analysis**")
-            if isinstance(final_output["relevancy_response"], list):
-                for item in final_output["relevancy_response"]:
-                    st.write(f"✅ **Context {item.get('content', 'N/A')} - Score: {item.get('score', 'N/A')}**")
-                    st.write(f"**Reasoning:** {item.get('Reasoning', 'No explanation provided.')}")
-            else:
-                st.warning("⚠️ No relevance analysis available.")
-
-            # 📚 Retrieved Contexts
-            st.markdown("### 📚 **Retrieved Contexts**")
-            if isinstance(final_output["relevant_contexts"], list):
-                for idx, doc in enumerate(final_output["relevant_contexts"], 1):
-                    st.write(f"🔹 **Context {idx}:** {doc}")
-            else:
-                st.warning("⚠️ No retrieved context available.")
-
-            # 🔍 Retrieved Context Numbers
-            st.markdown("### 🔍 **Relevant Context Numbers**")
-            st.write(final_output["context_number"])
+        #st.subheader('final_output["relevancy_response"]')
+        #st.write(final_output["relevancy_response"] )
+
+        st.write("📌 **Relevance Analysis:**")
+        if isinstance(final_output["relevancy_response"], list):
+            for item in final_output["relevancy_response"]:
+                st.write(f"✅ **Context {item.get('content', 'N/A')} - Score: {item.get('score', 'N/A')}**")
+                st.write(f"**Reasoning:** {item.get('Reasoning', 'No explanation provided.')}")
+        else:
+            st.write("⚠️ No relevance analysis available.")
+
+
+        st.subheader('final_output["context_number"]')
+        st.write(final_output["context_number"])
+
+        st.subheader('final_output["relevant_contexts"]')
+        st.write(final_output["relevant_contexts"])
+
+        #st.subheader('final_output["final_response"]')
+        #st.write(final_output["final_response"])
+
+        st.subheader("📢 **Final Answer:**")
+        st.write(final_output["final_response"] if final_output["final_response"] else "⚠️ No clear answer found based on retrieved content.")