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import json
import random
import string
import time
from typing import Any
#new
import freeGPT
from asyncio import run
#/new
from flask import Flask, request
from flask_cors import CORS
from g4f import ChatCompletion, Provider
app = Flask(__name__)
CORS(app)
@app.route("/")
def main():
return """Just iqai.ru for more!!!"""
@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")
#old
#response = ChatCompletion.create(model=model, messages=messages)
#/old
#new
response = freeGPT.gpt3.Completion().create(messages)
#/new
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")
if __name__ == "__main__":
app.run(host="0.0.0.0", port=7860, debug=False) |