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app.py

@@ -47,10 +47,14 @@ if prompt := st.chat_input("Disclaimer: I am still a product in developement"):
         msg_placeholder = st.empty()
         msg_placeholder.markdown("Thinking...")
 
-        print("Querying the Agent.")
+        print("Querying the Agent.\n")
         cntxt = app.search(prompt)
         relevant_c = [i["context"] for i in cntxt if i["metadata"]["score"] <= 0.6]
-        print(*relevant_c, sep="\n=======================\n")
+        print(
+            "\n===================\n",
+            *relevant_c,
+            sep="\n===================\n",
+        )
         if len(relevant_c) != 0:
             full_response = app.llm.query(
                 input_query=prompt,
@@ -61,8 +65,7 @@ if prompt := st.chat_input("Disclaimer: I am still a product in developement"):
             full_response = (
                 "Sorry but I don't have relevant knowledge to asnwer that query."
             )
-        # print(f"##FULL:\n\n{full_response}")
-        print(f"#ANSWER\n\n{full_response}")
+        print(f"\n#ANSWER\n\n{full_response}")
 
         msg_placeholder.markdown(full_response)
         st.session_state.messages.append(

db/main/chroma.sqlite3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:119984379fe0e5404b0099cd3a1a6b24640a8c7f6ea2cbb5e218aaa2883b45d4
-size 102674432
+oid sha256:31f147692520b2415dd4f3e74dd3b0825875579198002b6928608c4fafb05b03
+size 108224512