Update app.py

app.py

@@ -180,13 +180,18 @@ if query:
         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)
-        st.write("Number of Contexts:", len(contexts))
+        #st.write("Retrieved Contexts:", contexts)
+        #st.write("Number of Contexts:", len(contexts)
         
         context = [d.page_content for d in contexts]
         # Debugging: Check extracted context
-        st.write("Extracted Context (page_content):", context)
-        st.write("Number of Extracted Contexts:", len(context))
+        #st.write("Extracted Context (page_content):", context)
+        #st.write("Number of Extracted Contexts:", len(context))
+        
+        st.write("📄 **Relevant Passages Retrieved:**")
+        for idx, doc in enumerate(contexts):
+            st.write(f"**Excerpt {idx+1}:** {doc.page_content}")
+
         
         relevancy_prompt = """You are an expert judge tasked with evaluating whether the  EACH OF THE CONTEXT provided in the CONTEXT LIST is self sufficient to answer the QUERY asked.
         Analyze the provided QUERY AND  CONTEXT to determine if each Ccontent in the CONTEXT LIST contains Relevant information to answer the QUERY.