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app.py

@@ -57,10 +57,10 @@ if prompt := st.chat_input("Disclaimer: I am still a product in developement"):
 
         print("Querying the Agent.")
         cntxt = app.search(prompt)
-        print(*cntxt, sep="\n--\n")
+        print(*cntxt, sep="\n=======================\n")
         full_response = app.llm.query(
             input_query=prompt,
-            contexts=[i["context"] for i in cntxt],
+            contexts=[i["context"] for i in cntxt if i["metadata"]["score"] <= 0.6],
         )
         # print(f"##FULL:\n\n{full_response}")
         full_response = full_response.rpartition("Answer:")[-1].strip()

requirements.txt

@@ -208,7 +208,6 @@ rsa==4.9
 safetensors==0.4.2
 schema==0.7.5
 scikit-learn==1.4.1.post1
-scikit-surprise==1.1.3
 scipy==1.12.0
 Send2Trash==1.8.2
 sentence-transformers==2.5.1