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translation_demo.py
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translation_demo.py
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import openai
import os
from googletrans import Translator
from dotenv import load_dotenv # Add
load_dotenv()
openai.api_key = os.getenv("OPENAI_API_KEY")
model_id = 'gpt-3.5-turbo'
translator = Translator()
def ChatGPT_conversation(conversation):
response = openai.ChatCompletion.create(
model=model_id,
messages=conversation
)
# api_usage = response['usage']
# print('Total token consumed: {0}'.format(api_usage['total_tokens']))
# stop means complete
# print(response['choices'][0].finish_reason)
# print(response['choices'][0].index)
conversation.append({'role': response.choices[0].message.role, 'content': response.choices[0].message.content})
return conversation
conversation = []
conversation.append({'role': 'system', 'content': 'How may I help you?'})
conversation = ChatGPT_conversation(conversation)
print(translator.translate(text=
'{0}: {1}\n'.format(
conversation[-1]['role'].strip(),
conversation[-1]['content'].strip()
),
dest='zh-tw'
).text
)
while True:
user_input = input('User:')
prompt = translator.translate(
text=user_input,
dest='en').text
conversation.append({'role': 'user', 'content': prompt})
conversation = ChatGPT_conversation(conversation)
print(translator.translate(text=
'{0}: {1}\n'.format(
conversation[-1]['role'].strip(),
conversation[-1]['content'].strip()
),
dest='zh-tw'
).text
)