Merge remote-tracking branch 'upstream/master'

config.py

@@ -43,7 +43,7 @@
 # AVAIL_LLM_MODELS = [
 #   "glm-4-0520", "glm-4-air", "glm-4-airx", "glm-4-flash",
 #   "qianfan", "deepseekcoder",
-#   "spark", "sparkv2", "sparkv3", "sparkv3.5",
+#   "spark", "sparkv2", "sparkv3", "sparkv3.5", "sparkv4",
 #   "qwen-turbo", "qwen-plus", "qwen-max", "qwen-local",
 #   "moonshot-v1-128k", "moonshot-v1-32k", "moonshot-v1-8k",
 #   "gpt-3.5-turbo-0613", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-0125", "gpt-4o-2024-05-13"

crazy_functions/latex_fns/latex_pickle_io.py

@@ -4,12 +4,14 @@
 class SafeUnpickler(pickle.Unpickler):
 
     def get_safe_classes(self):
-        from .latex_actions import LatexPaperFileGroup, LatexPaperSplit
+        from crazy_functions.latex_fns.latex_actions import LatexPaperFileGroup, LatexPaperSplit
+        from crazy_functions.latex_fns.latex_toolbox import LinkedListNode
         # 定义允许的安全类
         safe_classes = {
             # 在这里添加其他安全的类
             'LatexPaperFileGroup': LatexPaperFileGroup,
-            'LatexPaperSplit' : LatexPaperSplit,
+            'LatexPaperSplit': LatexPaperSplit,
+            'LinkedListNode': LinkedListNode,
         }
         return safe_classes
 
@@ -20,6 +22,8 @@ def find_class(self, module, name):
         for class_name in self.safe_classes.keys():
             if (class_name in f'{module}.{name}'):
                 match_class_name = class_name
+        if module == 'numpy' or module.startswith('numpy.'):
+            return super().find_class(module, name)
         if match_class_name is not None:
             return self.safe_classes[match_class_name]
         # 如果尝试加载未授权的类，则抛出异常

docs/GithubAction+AllCapacity

@@ -3,6 +3,9 @@
 # 从NVIDIA源，从而支持显卡（检查宿主的nvidia-smi中的cuda版本必须>=11.3）
 FROM fuqingxu/11.3.1-runtime-ubuntu20.04-with-texlive:latest
 
+# edge-tts需要的依赖，某些pip包所需的依赖
+RUN apt update && apt install ffmpeg build-essential -y
+
 # use python3 as the system default python
 WORKDIR /gpt
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
@@ -28,8 +31,6 @@ RUN python3 -m pip install -r request_llms/requirements_chatglm.txt
 RUN python3 -m pip install -r request_llms/requirements_newbing.txt
 RUN python3 -m pip install nougat-ocr
 
-# edge-tts需要的依赖
-RUN apt update && apt install ffmpeg -y
 
 # 预热Tiktoken模块
 RUN python3  -c 'from check_proxy import warm_up_modules; warm_up_modules()'

docs/GithubAction+AllCapacityBeta

@@ -5,6 +5,9 @@
 # 从NVIDIA源，从而支持显卡（检查宿主的nvidia-smi中的cuda版本必须>=11.3）
 FROM fuqingxu/11.3.1-runtime-ubuntu20.04-with-texlive:latest
 
+# edge-tts需要的依赖，某些pip包所需的依赖
+RUN apt update && apt install ffmpeg build-essential -y
+
 # use python3 as the system default python
 WORKDIR /gpt
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
@@ -36,8 +39,6 @@ RUN python3 -m pip install -r request_llms/requirements_chatglm.txt
 RUN python3 -m pip install -r request_llms/requirements_newbing.txt
 RUN python3 -m pip install nougat-ocr
 
-# edge-tts需要的依赖
-RUN apt update && apt install ffmpeg -y
 
 # 预热Tiktoken模块
 RUN python3  -c 'from check_proxy import warm_up_modules; warm_up_modules()'

docs/GithubAction+ChatGLM+Moss

@@ -5,6 +5,8 @@ RUN apt-get update
 RUN apt-get install -y curl proxychains curl gcc
 RUN apt-get install -y git python python3 python-dev python3-dev --fix-missing
 
+# edge-tts需要的依赖，某些pip包所需的依赖
+RUN apt update && apt install ffmpeg build-essential -y
 
 # use python3 as the system default python
 RUN curl -sS https://bootstrap.pypa.io/get-pip.py | python3.8
@@ -21,8 +23,6 @@ RUN python3 -m pip install -r request_llms/requirements_qwen.txt
 RUN python3 -m pip install -r request_llms/requirements_chatglm.txt
 RUN python3 -m pip install -r request_llms/requirements_newbing.txt
 
-# edge-tts需要的依赖
-RUN apt update && apt install ffmpeg -y
 
 # 预热Tiktoken模块
 RUN python3  -c 'from check_proxy import warm_up_modules; warm_up_modules()'

main.py

@@ -26,7 +26,7 @@ def enable_log(PATH_LOGGING):
 
 def main():
     import gradio as gr
-    if gr.__version__ not in ['3.32.9', '3.32.10']:
+    if gr.__version__ not in ['3.32.9', '3.32.10', '3.32.11']:
         raise ModuleNotFoundError("使用项目内置Gradio获取最优体验! 请运行 `pip install -r requirements.txt` 指令安装内置Gradio及其他依赖, 详情信息见requirements.txt.")
     from request_llms.bridge_all import predict
     from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf, ArgsGeneralWrapper, DummyWith

request_llms/bridge_all.py

@@ -951,6 +951,15 @@ def decode(self, *args, **kwargs):
                 "max_token": 4096,
                 "tokenizer": tokenizer_gpt35,
                 "token_cnt": get_token_num_gpt35,
+            },
+            "sparkv4":{
+                "fn_with_ui": spark_ui,
+                "fn_without_ui": spark_noui,
+                "can_multi_thread": True,
+                "endpoint": None,
+                "max_token": 4096,
+                "tokenizer": tokenizer_gpt35,
+                "token_cnt": get_token_num_gpt35,
             }
         })
     except:

request_llms/bridge_qwen.py

@@ -1,7 +1,7 @@
 import time
 import os
 from toolbox import update_ui, get_conf, update_ui_lastest_msg
-from toolbox import check_packages, report_exception
+from toolbox import check_packages, report_exception, log_chat
 
 model_name = 'Qwen'
 
@@ -59,6 +59,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         chatbot[-1] = (inputs, response)
         yield from update_ui(chatbot=chatbot, history=history)
 
+    log_chat(llm_model=llm_kwargs["llm_model"], input_str=inputs, output_str=response)
     # 总结输出
     if response == f"[Local Message] 等待{model_name}响应中 ...":
         response = f"[Local Message] {model_name}响应异常 ..."

request_llms/com_qwenapi.py

@@ -65,8 +65,12 @@ def generate(self, inputs, llm_kwargs, history, system_prompt):
                 self.result_buf += f"[Local Message] 请求错误：状态码：{response.status_code}，错误码:{response.code}，消息：{response.message}"
                 yield self.result_buf
                 break
-        logging.info(f'[raw_input] {inputs}')
-        logging.info(f'[response] {self.result_buf}')
+
+        # 耗尽generator避免报错
+        while True:
+            try: next(responses)
+            except: break
+
         return self.result_buf
 
 

request_llms/com_sparkapi.py

@@ -67,6 +67,7 @@ def __init__(self):
         self.gpt_url_v3 = "ws://spark-api.xf-yun.com/v3.1/chat"
         self.gpt_url_v35 = "wss://spark-api.xf-yun.com/v3.5/chat"
         self.gpt_url_img = "wss://spark-api.cn-huabei-1.xf-yun.com/v2.1/image"
+        self.gpt_url_v4 = "wss://spark-api.xf-yun.com/v4.0/chat"
 
         self.time_to_yield_event = threading.Event()
         self.time_to_exit_event = threading.Event()
@@ -94,6 +95,8 @@ def create_blocking_request(self, inputs, llm_kwargs, history, system_prompt, us
             gpt_url = self.gpt_url_v3
         elif llm_kwargs['llm_model'] == 'sparkv3.5':
             gpt_url = self.gpt_url_v35
+        elif llm_kwargs['llm_model'] == 'sparkv4':
+            gpt_url = self.gpt_url_v4
         else:
             gpt_url = self.gpt_url
         file_manifest = []
@@ -194,6 +197,7 @@ def gen_params(appid, inputs, llm_kwargs, history, system_prompt, file_manifest)
         "sparkv2": "generalv2",
         "sparkv3": "generalv3",
         "sparkv3.5": "generalv3.5",
+        "sparkv4": "4.0Ultra"
     }
     domains_select = domains[llm_kwargs['llm_model']]
     if file_manifest: domains_select = 'image'

request_llms/oai_std_model_template.py

@@ -44,7 +44,8 @@ def decode_chunk(chunk):
     try:
         chunk = json.loads(chunk[6:])
     except:
-        finish_reason = "JSON_ERROR"
+        respose = "API_ERROR"
+        finish_reason = chunk
     # 错误处理部分
     if "error" in chunk:
         respose = "API_ERROR"

shared_utils/fastapi_server.py

@@ -159,6 +159,15 @@ async def file(path_or_url: str, request: fastapi.Request):
                     return "越权访问!"
             return await endpoint(path_or_url, request)
 
+        from fastapi import Request, status
+        from fastapi.responses import FileResponse, RedirectResponse
+        @gradio_app.get("/academic_logout")
+        async def logout():
+            response = RedirectResponse(url=CUSTOM_PATH, status_code=status.HTTP_302_FOUND)
+            response.delete_cookie('access-token')
+            response.delete_cookie('access-token-unsecure')
+            return response
+
     # --- --- enable TTS (text-to-speech) functionality --- ---
     TTS_TYPE = get_conf("TTS_TYPE")
     if TTS_TYPE != "DISABLE":
@@ -236,6 +245,7 @@ async def middleware(request: Request, call_next):
             response = await call_next(request)
             return response
 
+
     # --- --- uvicorn.Config --- ---
     ssl_keyfile = None if SSL_KEYFILE == "" else SSL_KEYFILE
     ssl_certfile = None if SSL_CERTFILE == "" else SSL_CERTFILE

tests/test_latex_auto_correct.py

@@ -0,0 +1,22 @@
+"""
+对项目中的各个插件进行测试。运行方法：直接运行 python tests/test_plugins.py
+"""
+
+
+import os, sys, importlib
+
+
+def validate_path():
+    dir_name = os.path.dirname(__file__)
+    root_dir_assume = os.path.abspath(dir_name + "/..")
+    os.chdir(root_dir_assume)
+    sys.path.append(root_dir_assume)
+
+
+validate_path()  # 返回项目根路径
+
+if __name__ == "__main__":
+    plugin_test = importlib.import_module('test_utils').plugin_test
+
+
+    plugin_test(plugin='crazy_functions.Latex_Function->Latex翻译中文并重新编译PDF', main_input="2203.01927")