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Only print retries to avoid flooding the console with progress bars. #12

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Only print retries to avoid flooding the console with progress bars. #12

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6 changes: 2 additions & 4 deletions task_eval/claude_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -205,11 +205,9 @@ def get_claude_answers(in_data, out_data, prediction_key, args):
query = query_conv + '\n' + question_prompt
# print(query)

trials = 0
while trials < 5:
for trials in range(5):
try:
trials += 1
# print("Trial %s" % trials)
# print("Trial %s" % (trials + 1))
# print("Sending query of %s tokens" % len(model.count_tokens(query)))
# print("Trying with answer token budget = %s per question" % PER_QA_TOKEN_BUDGET)
answer = run_claude(query, PER_QA_TOKEN_BUDGET * args.batch_size, args.model)
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6 changes: 2 additions & 4 deletions task_eval/gemini_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -220,11 +220,9 @@ def get_gemini_answers(model, in_data, out_data, prediction_key, args):
query = query_conv + '\n' + question_prompt
# print(query)

trials = 0
while trials < 5:
for trials in range(5):
try:
trials += 1
# print("Trial %s" % trials)
# print("Trial %s" % (trials + 1))
# print("Sending query of %s tokens" % model.count_tokens(query).total_tokens)
# print("Trying with answer token budget = %s per question" % PER_QA_TOKEN_BUDGET)
answer = run_gemini(model, query)
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9 changes: 4 additions & 5 deletions task_eval/gpt_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -299,11 +299,10 @@ def get_gpt_answers(in_data, out_data, prediction_key, args):
# query = query_conv + '\n' + QA_PROMPT_BATCH + "\n".join(["QUESTION: %s" % q for q in questions])
query = query_conv + '\n' + question_prompt

trials = 0
while trials < 3:
for trials in range(3):
try:
trials += 1
print("Trial %s/3" % trials)
if trials:
print("Trial %s/3" % (trials + 1))
# print("Sending query of %s tokens" % len(encoding.encode(query)))
# print("Trying with answer token budget = %s per question" % PER_QA_TOKEN_BUDGET)
answer = run_chatgpt(query, num_gen=1, num_tokens_request=args.batch_size*PER_QA_TOKEN_BUDGET,
Expand All @@ -315,7 +314,7 @@ def get_gpt_answers(in_data, out_data, prediction_key, args):
break

except Exception as e:
print('Error at trial %s/3' % trials, e)
print('Error at trial %s/3' % (trials + 1), e)
raise ValueError

for k, idx in enumerate(include_idxs):
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