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clarify_transcripts.py
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import re
import os
import openai
import textwrap
from time import time,sleep
def open_file(filepath):
with open(filepath, 'r', encoding='utf-8') as infile:
return infile.read()
def save_file(filepath, content):
with open(filepath, 'w', encoding='utf-8') as outfile:
outfile.write(content)
openai.api_key = open_file('openaiapikey.txt')
def gpt3_completion(prompt, engine='text-davinci-002', temp=0.7, top_p=1.0, tokens=2000, freq_pen=0.0, pres_pen=0.0, stop=['asdfasdf', 'asdasdf']):
max_retry = 5
retry = 0
prompt = prompt.encode(encoding='ASCII',errors='ignore').decode() # force it to fix any unicode errors
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()
#text = re.sub('\s+', ' ', text)
filename = '%s_gpt3.txt' % time()
save_file('gpt3_logs/%s' % filename, prompt + '\n\n==========\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__':
files = os.listdir('transcripts/')
for file in files:
if os.path.exists('clarified/%s' % file):
print('Skipping:', file)
continue
transcript = open_file('transcripts/%s' % file)
chunks = textwrap.wrap(transcript, 6000)
output = list()
for chunk in chunks:
prompt = open_file('prompt_clarify_transcript.txt').replace('<<TRANSCRIPT>>', chunk)
essay = gpt3_completion(prompt)
output.append(essay)
result = '\n\n'.join(output)
save_file('clarified/%s' % file, result)
print('\n\n================================================\n\n', result)