prasadnu commited on
Commit
a2b72ed
·
1 Parent(s): 30a19c6
Files changed (1) hide show
  1. semantic_search/llm_eval.py +3 -3
semantic_search/llm_eval.py CHANGED
@@ -72,7 +72,7 @@ def eval(question, answers):
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  prompt = prompt.format(query, search_results)
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  response = json.loads(llm.invoke_llm_model(prompt,False))
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  #response = textgen_llm(prompt)
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- print("Response from LLM: ", response)
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  # inter_trim =response.split("[")[1]
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  # final_out = json.loads('{"results":['+inter_trim.split("]")[0]+']}')
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  llm_scores = []
@@ -93,8 +93,8 @@ def eval(question, answers):
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  current_scores.append(i['score'])
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- print("LLM Scores: ", llm_scores)
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- print("Current Scores: ", current_scores)
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  x = np.array(llm_scores)
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  x = x.reshape(-1, 1)
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  x_norm = (pre.MinMaxScaler().fit_transform(x)).flatten().tolist()
 
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  prompt = prompt.format(query, search_results)
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  response = json.loads(llm.invoke_llm_model(prompt,False))
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  #response = textgen_llm(prompt)
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+ #print("Response from LLM: ", response)
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  # inter_trim =response.split("[")[1]
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  # final_out = json.loads('{"results":['+inter_trim.split("]")[0]+']}')
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  llm_scores = []
 
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  current_scores.append(i['score'])
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+ #print("LLM Scores: ", llm_scores)
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+ #print("Current Scores: ", current_scores)
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  x = np.array(llm_scores)
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  x = x.reshape(-1, 1)
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  x_norm = (pre.MinMaxScaler().fit_transform(x)).flatten().tolist()