app.py

import gradio as gr
import requests
from http import HTTPStatus
import json


async def predict(message, history):
	messages =  [{'role': 'system', 'content': '你是哈尔滨双城区微信公众号双城信息港的AI客服,你叫小双,如果有人问你问题，请优先考虑是关于双城区的问题'}] 
	for human, assistant in history:
		messages.append({"role": "user", "content": human })
		messages.append({"role": "assistant", "content":assistant})
	messages.append({'role': 'user', 'content':message})
	url = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation"  
	headers = {  
    	"Authorization": "Bearer sk-78c45d761ed04af2b965b43cd522108b",  
    	"Content-Type": "application/json",  
		
	}  
	data = {  
    	"model": "qwen-72b-chat",  
   		"input": {  
        	"messages": messages, 
			
    	},  
    	"parameters": {"result_format":"message" },  
	}
 
	response = requests.post(url, headers=headers, json=data)
	# response= await pyfetch(url,  headers=headers, json=data)
    

	print(response.text)
	if response.status_code == HTTPStatus.OK:
		response=json.loads(response.text)
		messages.append({'role': response["output"]["choices"][0]["message"]["role"],
					 'content': response["output"]["choices"][0]["message"]["content"]})
	else:
		print('Request id: %s, Status code: %s, error code: %s, error message: %s' % (
		response.request_id, response.status_code,
		response.code, response.message
	))

	partial_message = ""
	partial_message = partial_message+response["output"]["choices"][0]["message"]["content"]
	return partial_message

		
gr.ChatInterface(predict).launch()