Upload app.py

app.py

@@ -1,7 +1,48 @@
 import gradio as gr
+import requests
+from http import HTTPStatus
+import json
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+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()