main.py

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 Hunyuan 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')
API_KEY = os.getenv("API_KEY")  # Load API key from environment variable
print(base_url)

def verify_api_key():
    """Check if the API key is valid."""
    api_key = request.headers.get("Authorization")
    if not api_key or api_key != f"Bearer {API_KEY}":
        return jsonify({"error": "Unauthorized"}), 401

@app.before_request
def before_request():
    """Apply API key validation to all routes except index."""
    if request.endpoint not in ['index']:
        return verify_api_key()

@app.route('/api/v1/models', methods=["GET", "POST"])
@app.route('/v1/models', methods=["GET", "POST"])
def model_list():
    time_now = int(time.time())
    model_list = {
        "object": "list",
        "data": [
            {"id": "hunyuan-turbo", "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)

@app.route("/", methods=["GET"])
def index():
    return Response(
        f'Hunyuan 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<br><br>'+
        "Don't set the System Prompt. It will be ignored."
    )

@app.route("/api/v1/chat/completions", methods=["POST", "OPTIONS"])
@app.route("/v1/chat/completions", methods=["POST", "OPTIONS"])
def chat_completions():
    if request.method == "OPTIONS":
        return Response(headers={"Access-Control-Allow-Origin": "*", "Access-Control-Allow-Headers": "*"})
    
    data = request.get_json()
    system = "You are a helpful assistant who responds in English."
    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":
                chat_history.append([messages[i].get("content"), messages[i + 1].get("content") if role_next == "assistant" else " "])
        
        if system:
            prompt = system + "\n" + prompt
        
        fn_index = 3
        session_hash = "".join(random.choice(string.ascii_lowercase + string.digits) for _ in range(10))
        
        single_prompt_data = {
            'data': [prompt, []],
            'event_data': None,
            'fn_index': 1,
            'trigger_id': 5,
            'session_hash': session_hash,
        }
        requests.post(f'{base_url}/gradio_api/run/predict', json=single_prompt_data)
        
        context_data = {
            'data': [None, chat_history + [[prompt, None]]],
            'event_data': None,
            'fn_index': fn_index,
            'trigger_id': 5,
            'session_hash': session_hash,
        }
        requests.post(f"{base_url}/gradio_api/queue/join", json=context_data)
    
    def generate():
        url = f"{base_url}/gradio_api/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":
                    yield f"data: {json.dumps(gen_res_data({}, time_now, start=True))}\n\n"
                elif json_line["msg"] == "process_generating":
                    yield f"data: {json.dumps(gen_res_data(json_line, time_now))}\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": "hunyuan-large",
        "choices": [{"index": 0, "finish_reason": None}],
    }
    if start:
        res_data["choices"][0]["delta"] = {"role": "assistant", "content": ""}
    else:
        chat_pair = data.get("output", {}).get("data", [])[0]
        if not 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__":
    gevent.pywsgi.WSGIServer((args.host, args.port), app).serve_forever()