mvectors

semantic_search/llm_eval.py

@@ -72,7 +72,7 @@ def eval(question, answers):
     prompt = prompt.format(query, search_results)
     response = json.loads(llm.invoke_llm_model(prompt,False))
     #response = textgen_llm(prompt)
-    print("Response from LLM: ", response)
+    #print("Response from LLM: ", response)
     # inter_trim =response.split("[")[1]
     # final_out = json.loads('{"results":['+inter_trim.split("]")[0]+']}')
     llm_scores = []
@@ -93,8 +93,8 @@ def eval(question, answers):
         current_scores.append(i['score'])
         
         
-    print("LLM Scores: ", llm_scores)
-    print("Current Scores: ", current_scores)
+    #print("LLM Scores: ", llm_scores)
+    #print("Current Scores: ", current_scores)
     x = np.array(llm_scores)
     x = x.reshape(-1, 1)
     x_norm = (pre.MinMaxScaler().fit_transform(x)).flatten().tolist()