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import os
import time
import json
import random
from g4f import Model, ChatCompletion, Provider
from flask import Flask, request, Response
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
@app.route("/chat/completions", methods=['POST'])
def chat_completions():
streaming = request.json.get('stream', False)
model = request.json.get('model', 'gpt-3.5-turbo')
messages = request.json.get('messages')
response = ChatCompletion.create(model=model, stream=streaming,
messages=messages)
if not streaming:
while 'curl_cffi.requests.errors.RequestsError' in response:
response = ChatCompletion.create(model=model, stream=streaming,
messages=messages)
completion_timestamp = int(time.time())
completion_id = ''.join(random.choices(
'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
return {
'id': 'chatcmpl-%s' % completion_id,
'object': 'chat.completion',
'created': completion_timestamp,
'model': model,
'usage': {
'prompt_tokens': None,
'completion_tokens': None,
'total_tokens': None
},
'choices': [{
'message': {
'role': 'assistant',
'content': response
},
'finish_reason': 'stop',
'index': 0
}]
}
def stream():
for token in response:
completion_timestamp = int(time.time())
completion_id = ''.join(random.choices(
'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789', k=28))
completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': 'gpt-3.5-turbo-0301',
'choices': [
{
'delta': {
'content': token
},
'index': 0,
'finish_reason': None
}
]
}
yield 'data: %s\n\n' % json.dumps(completion_data, separators=(',' ':'))
time.sleep(0.1)
return app.response_class(stream(), mimetype='text/event-stream')
if __name__ == '__main__':
config = {
'host': '0.0.0.0',
'port': 1337,
'debug': True
}
app.run(**config)
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