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import gevent.pywsgi | |
from gevent import monkey;monkey.patch_all() | |
from flask import Flask, request, Response, jsonify | |
import argparse | |
import requests | |
import random | |
import string | |
import time | |
import json | |
import os | |
app = Flask(__name__) | |
app.json.sort_keys = False | |
parser = argparse.ArgumentParser(description="An example of Qwen demo with a similar API to OAI.") | |
parser.add_argument("--host", type=str, help="Set the ip address.(default: 0.0.0.0)", default='0.0.0.0') | |
parser.add_argument("--port", type=int, help="Set the port.(default: 7860)", default=7860) | |
args = parser.parse_args() | |
base_url = os.getenv('MODEL_BASE_URL') | |
def model_list(): | |
time_now = int(time.time()) | |
model_list = { | |
"object": "list", | |
"data": [ | |
{ | |
"id": "qwen", | |
"object": "model", | |
"created": time_now, | |
"owned_by": "tastypear" | |
}, | |
{ | |
"id": "gpt-3.5-turbo", | |
"object": "model", | |
"created": time_now, | |
"owned_by": "tastypear" | |
} | |
] | |
} | |
return jsonify(model_list) | |
def index(): | |
return Response(f'QW2.5 OpenAI Compatible API<br><br>'+ | |
f'Set "{os.getenv("SPACE_URL")}/api" as proxy (or API Domain) in your Chatbot.<br><br>'+ | |
f'The complete API is: {os.getenv("SPACE_URL")}/api/v1/chat/completions') | |
def chat_completions(): | |
if request.method == "OPTIONS": | |
return Response( | |
headers={ | |
"Access-Control-Allow-Origin": "*", | |
"Access-Control-Allow-Headers": "*", | |
} | |
) | |
data = request.get_json() | |
# reorganize data | |
system = "You are a helpful assistant." | |
chat_history = [] | |
prompt = "" | |
if "messages" in data: | |
messages = data["messages"] | |
message_size = len(messages) | |
prompt = messages[-1].get("content") | |
for i in range(message_size - 1): | |
role_this = messages[i].get("role") | |
role_next = messages[i + 1].get("role") | |
if role_this == "system": | |
system = messages[i].get("content") | |
elif role_this == "user": | |
if role_next == "assistant": | |
chat_history.append( | |
[messages[i].get("content"), messages[i + 1].get("content")] | |
) | |
else: | |
chat_history.append([messages[i].get("content"), " "]) | |
# print(f'{system = }') | |
# print(f'{chat_history = }') | |
# print(f'{prompt = }') | |
fn_index = 0 | |
# gen a random char(11) hash | |
chars = string.ascii_lowercase + string.digits | |
session_hash = "".join(random.choice(chars) for _ in range(11)) | |
json_prompt = { | |
"data": [prompt, chat_history, system], | |
"fn_index": fn_index, | |
"session_hash": session_hash, | |
} | |
def generate(): | |
response = requests.post(f"{base_url}/queue/join", json=json_prompt) | |
url = f"{base_url}/queue/data?session_hash={session_hash}" | |
data = requests.get(url, stream=True) | |
time_now = int(time.time()) | |
for line in data.iter_lines(): | |
if line: | |
decoded_line = line.decode("utf-8") | |
json_line = json.loads(decoded_line[6:]) | |
if json_line["msg"] == "process_starts": | |
res_data = gen_res_data({}, time_now=time_now, start=True) | |
yield f"data: {json.dumps(res_data)}\n\n" | |
elif json_line["msg"] == "process_generating": | |
res_data = gen_res_data(json_line, time_now=time_now) | |
yield f"data: {json.dumps(res_data)}\n\n" | |
elif json_line["msg"] == "process_completed": | |
yield "data: [DONE]" | |
return Response( | |
generate(), | |
mimetype="text/event-stream", | |
headers={ | |
"Access-Control-Allow-Origin": "*", | |
"Access-Control-Allow-Headers": "*", | |
}, | |
) | |
def gen_res_data(data, time_now=0, start=False): | |
res_data = { | |
"id": "chatcmpl", | |
"object": "chat.completion.chunk", | |
"created": time_now, | |
"model": "qwen2_5", | |
"choices": [{"index": 0, "finish_reason": None}], | |
} | |
if start: | |
res_data["choices"][0]["delta"] = {"role": "assistant", "content": ""} | |
else: | |
chat_pair = data["output"]["data"][1] | |
if chat_pair == []: | |
res_data["choices"][0]["finish_reason"] = "stop" | |
else: | |
res_data["choices"][0]["delta"] = {"content": chat_pair[-1][-1]} | |
return res_data | |
if __name__ == "__main__": | |
# app.run(host=args.host, port=args.port, debug=True) | |
gevent.pywsgi.WSGIServer((args.host, args.port), app).serve_forever() | |