Upload app.py

app.py

@@ -90,7 +90,6 @@ def predict(openai_gptapi_key, model, system_msg, inputs, top_p, temperature, ma
     partial_words = "" 
 
     counter=0
-    complete_response = ""
     for chunk in response.iter_lines():
         # 跳过第一个块
         if counter == 0:
@@ -98,6 +97,7 @@ def predict(openai_gptapi_key, model, system_msg, inputs, top_p, temperature, ma
           continue
         # 检查每行是否非空
         if chunk.decode() :
+          complete_response = ""
           chunk = chunk.decode()
           # 将每行解码为响应数据，因为响应数据是以字节形式返回的
           if len(chunk) > 12 and "content" in json.loads(chunk[6:])['choices'][0]['delta']:
@@ -110,8 +110,7 @@ def predict(openai_gptapi_key, model, system_msg, inputs, top_p, temperature, ma
               complete_response = " ".join([item[1] for item in chat])
               token_counter+=1
               yield chat, history, chat_counter, response  # 类似于 {chatbot: chat, state: history}  
-
-    print(f"[{current_time}] 聊天：模型回复 - {complete_response}")
+        print(f"[{current_time}] 聊天：模型回复 - {complete_response}")
                    
 # 重置文本框
 def reset_textbox():