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synthesize_convos.py
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synthesize_convos.py
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import os
import openai
from time import time,sleep
def open_file(filepath):
with open(filepath, 'r', encoding='utf-8') as infile:
return infile.read()
def save_convo(text, topic):
with open('convos/%s_%s.txt' % (topic, time()), 'w', encoding='utf-8') as outfile:
outfile.write(text)
openai.api_key = open_file('openaiapikey.txt')
def gpt3_completion(prompt, engine='text-davinci-002', temp=0.85, top_p=1.0, tokens=1000, freq_pen=0.0, pres_pen=0.5, stop=['<<END>>']): # NOTE: original temp was 0.7 and freq_pen was 0.0 - I turned these up to reduce repetition
max_retry = 5
retry = 0
while True:
try:
response = openai.Completion.create(
engine=engine,
prompt=prompt,
temperature=temp,
max_tokens=tokens,
top_p=top_p,
frequency_penalty=freq_pen,
presence_penalty=pres_pen,
stop=stop)
text = response['choices'][0]['text'].strip()
filename = '%s_gpt3.txt' % time()
with open('gpt3_logs/%s' % filename, 'w') as outfile:
outfile.write('PROMPT:\n\n' + prompt + '\n\n==========\n\nRESPONSE:\n\n' + text)
return text
except Exception as oops:
retry += 1
if retry >= max_retry:
return "GPT3 error: %s" % oops
print('Error communicating with OpenAI:', oops)
sleep(1)
if __name__ == '__main__':
for i in range(0, 4):
topics = open_file('topics.txt').splitlines()
for topic in topics:
print(topic)
prompt = open_file('prompt.txt').replace('<<TOPIC>>', topic)
response = gpt3_completion(prompt)
outtext = 'User: Hey TIM%s' % response
print(outtext)
tpc = topic.replace(' ', '').replace('(','').replace(')','').replace('-','').replace(',','').replace('"', '')[0:15]
save_convo(outtext, tpc)
#exit()