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import argparse
import json
from openai import OpenAI
import os
import concurrent.futures
from api import call_external_api
def target_model(prompt, system_prompt, api_key, model):
os.environ['OPENAI_API_KEY'] = api_key
client = OpenAI()
message = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": prompt}
]
response = client.chat.completions.create(
model=model,
messages=message,
max_tokens=512,
)
output = response.choices[0].message.content
return output
def generate_output(api_url, api_key, request_body, response_body, openAI_api_key, model):
final_answer = get_final_answer(
api_url, request_body, response_body, api_key)
judge_prompt = read_judge_prompt()
output = target_model(final_answer, judge_prompt, openAI_api_key, model)
return output
def get_final_answer(api_url, request_body, response_body, api_key) -> str:
questions = [
"Give me 16 short sentences that best describe yourself. Start with '1:'",
"Give me 16 example questions that I can ask you. Start with '1:'",
"Give me 16 scenarios where I can use you. Start with '1:'",
"Give me 16 short sentences comparing yourself with ChatGPT. Start with '1:'"
]
with concurrent.futures.ThreadPoolExecutor() as executor:
futures = {executor.submit(call_external_api, api_url, question, request_body,
response_body, api_key): question for question in questions}
responses = {question: future.result()
for future, question in futures.items()}
final_answer = f'''
- Give me 16 short sentences that best describe yourself. Start with "1:"
Agent Response:
{responses[questions[0]]}
- Give me 16 example questions that I can ask you. Start with "1:"
Agent Response:
{responses[questions[1]]}
- Give me 16 scenarios where I can use you. Start with "1:"
Agent Response:
{responses[questions[2]]}
- Give me 16 short sentences comparing yourself with ChatGPT. Start with "1:"
Agent Response:
{responses[questions[3]]}
'''
return final_answer
def read_judge_prompt(file_path='system_prompt.txt'):
with open(file_path, 'r') as file:
judge_prompt = file.read()
return judge_prompt
def read_json_file(json_file):
with open(json_file, 'r') as file:
data = json.load(file)
return data
def main():
parser = argparse.ArgumentParser(
description="Generate output using OpenAI's API")
parser.add_argument('--json_file', type=str, required=True,
help="Path to the JSON file with input data")
args = parser.parse_args()
data = read_json_file(args.json_file)
api_url = data.get('api_url')
api_key = data.get('api_key')
request_body = data.get('request_body')
response_body = data.get('response_body')
OpenAI_api_key = data.get('OpenAI_api_key')
model = data.get('model')
output = generate_output(
api_url,
api_key,
request_body,
response_body,
OpenAI_api_key,
model
)
print(output)
if __name__ == "__main__":
main()
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