gpt4free/g4f/interference/__init__.py
2023-10-06 19:52:39 +01:00

94 lines
2.8 KiB
Python

import json
import time
import random
import string
from typing import Any
from flask import Flask, request
from flask_cors import CORS
from g4f import ChatCompletion
app = Flask(__name__)
CORS(app)
@app.route('/')
def index():
return 'interference api, url: http://127.0.0.1:1337'
@app.route('/chat/completions', methods=['POST'])
def chat_completions():
model = request.get_json().get('model', 'gpt-3.5-turbo')
stream = request.get_json().get('stream', False)
messages = request.get_json().get('messages')
response = ChatCompletion.create(model = model,
stream = stream, messages = messages)
completion_id = ''.join(random.choices(string.ascii_letters + string.digits, k=28))
completion_timestamp = int(time.time())
if not stream:
return {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'message': {
'role': 'assistant',
'content': response,
},
'finish_reason': 'stop',
}
],
'usage': {
'prompt_tokens': None,
'completion_tokens': None,
'total_tokens': None,
},
}
def streaming():
for chunk in response:
completion_data = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'delta': {
'content': chunk,
},
'finish_reason': None,
}
],
}
content = json.dumps(completion_data, separators=(',', ':'))
yield f'data: {content}\n\n'
time.sleep(0.1)
end_completion_data: dict[str, Any] = {
'id': f'chatcmpl-{completion_id}',
'object': 'chat.completion.chunk',
'created': completion_timestamp,
'model': model,
'choices': [
{
'index': 0,
'delta': {},
'finish_reason': 'stop',
}
],
}
content = json.dumps(end_completion_data, separators=(',', ':'))
yield f'data: {content}\n\n'
return app.response_class(streaming(), mimetype='text/event-stream')
def run_interference():
app.run(host='0.0.0.0', port=1337, debug=True)