Merge branch 'master' of https://github.com/ValeriaWong/chatgpt_academic

predict.py

@@ -1,5 +1,16 @@
 # 借鉴了 https://github.com/GaiZhenbiao/ChuanhuChatGPT 项目
 
+"""
+    该文件中主要包含三个函数
+
+    不具备多线程能力的函数：
+    1. predict: 正常对话时使用，具备完备的交互功能，不可多线程
+
+    具备多线程调用能力的函数
+    2. predict_no_ui：高级实验性功能模块调用，不会实时显示在界面上，参数简单，可以多线程并行，方便实现复杂的功能逻辑
+    3. predict_no_ui_long_connection：在实验过程中发现调用predict_no_ui处理长文档时，和openai的连接容易断掉，这个函数用stream的方式解决这个问题，同样支持多线程
+"""
+
 import json
 import gradio as gr
 import logging
@@ -25,7 +36,7 @@ def get_full_error(chunk, stream_response):
             break
     return chunk
 
-def predict_no_ui(inputs, top_p, temperature, history=[]):
+def predict_no_ui(inputs, top_p, temperature, history=[], sys_prompt=""):
     """
         发送至chatGPT，等待回复，一次性完成，不显示中间过程。
         predict函数的简化版。
@@ -36,7 +47,7 @@ def predict_no_ui(inputs, top_p, temperature, history=[]):
         history 是之前的对话列表
         （注意无论是inputs还是history，内容太长了都会触发token数量溢出的错误，然后raise ConnectionAbortedError）
     """
-    headers, payload = generate_payload(inputs, top_p, temperature, history, system_prompt="", stream=False)
+    headers, payload = generate_payload(inputs, top_p, temperature, history, system_prompt=sys_prompt, stream=False)
 
     retry = 0
     while True:
@@ -47,8 +58,8 @@ def predict_no_ui(inputs, top_p, temperature, history=[]):
         except requests.exceptions.ReadTimeout as e:
             retry += 1
             traceback.print_exc()
-            if MAX_RETRY!=0: print(f'请求超时，正在重试 ({retry}/{MAX_RETRY}) ……')
             if retry > MAX_RETRY: raise TimeoutError
+            if MAX_RETRY!=0: print(f'请求超时，正在重试 ({retry}/{MAX_RETRY}) ……')
 
     try:
         result = json.loads(response.text)["choices"][0]["message"]["content"]
@@ -58,6 +69,41 @@ def predict_no_ui(inputs, top_p, temperature, history=[]):
         raise ConnectionAbortedError("Json解析不合常规，可能是文本过长" + response.text)
 
 
+def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_prompt=""):
+    """
+        发送至chatGPT，等待回复，一次性完成，不显示中间过程。但内部用stream的方法避免有人中途掐网线。
+    """
+    headers, payload = generate_payload(inputs, top_p, temperature, history, system_prompt=sys_prompt, stream=True)
+
+    retry = 0
+    while True:
+        try:
+            # make a POST request to the API endpoint, stream=False
+            response = requests.post(API_URL, headers=headers, proxies=proxies,
+                                    json=payload, stream=True, timeout=TIMEOUT_SECONDS); break
+        except requests.exceptions.ReadTimeout as e:
+            retry += 1
+            traceback.print_exc()
+            if retry > MAX_RETRY: raise TimeoutError
+            if MAX_RETRY!=0: print(f'请求超时，正在重试 ({retry}/{MAX_RETRY}) ……')
+
+    stream_response =  response.iter_lines()
+    result = ''
+    while True:
+        try: chunk = next(stream_response).decode()
+        except StopIteration: break
+        if len(chunk)==0: continue
+        if not chunk.startswith('data:'): 
+            chunk = get_full_error(chunk.encode('utf8'), stream_response)
+            raise ConnectionAbortedError("OpenAI拒绝了请求:" + chunk.decode())
+        delta = json.loads(chunk.lstrip('data:'))['choices'][0]["delta"]
+        if len(delta) == 0: break
+        if "role" in delta: continue
+        if "content" in delta: result += delta["content"]; print(delta["content"], end='')
+        else: raise RuntimeError("意外Json结构："+delta)
+    return result
+
+
 def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt='', 
             stream = True, additional_fn=None):
     """
@@ -130,7 +176,7 @@ def predict(inputs, top_p, temperature, chatbot=[], history=[], system_prompt=''
                     chunk = get_full_error(chunk, stream_response)
                     error_msg = chunk.decode()
                     if "reduce the length" in error_msg:
-                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Input (or history) is too long, please reduce input or clear history by refleshing this page.")
+                        chatbot[-1] = (chatbot[-1][0], "[Local Message] Input (or history) is too long, please reduce input or clear history by refreshing this page.")
                         history = []
                     elif "Incorrect API key" in error_msg:
                         chatbot[-1] = (chatbot[-1][0], "[Local Message] Incorrect API key provided.")