Upload app.py

app.py

@@ -90,6 +90,7 @@ def predict(openai_gptapi_key, model, system_msg, inputs, top_p, temperature, ma
     partial_words = "" 
 
     counter=0
+    partial_words = ""
     for chunk in response.iter_lines():
         # 跳过第一个块
         if counter == 0:
@@ -97,7 +98,6 @@ 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']:
@@ -107,10 +107,10 @@ def predict(openai_gptapi_key, model, system_msg, inputs, top_p, temperature, ma
               else:
                 history[-1] = partial_words
               chat = [(history[i], history[i + 1]) for i in range(0, len(history) - 1, 2) ]  # 转换为列表的元组
-              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 - {partial_words}")
                    
 # 重置文本框
 def reset_textbox():