pip

core_functional.py

@@ -1,7 +1,7 @@
 # 'primary' 颜色对应 theme.py 中的 primary_hue
 # 'secondary' 颜色对应 theme.py 中的 neutral_hue
 # 'stop' 颜色对应 theme.py 中的 color_er
-# 默认按钮颜色是 secondary
+import importlib
 from toolbox import clear_line_break
 
 
@@ -14,7 +14,12 @@ def get_core_functions():
                         r"Furthermore, list all modification and explain the reasons to do so in markdown table." + "\n\n",
             # 后语
             "Suffix":   r"",
-            "Color":    r"secondary",    # 按钮颜色
+            # 按钮颜色 (默认 secondary)
+            "Color":    r"secondary",
+            # 按钮是否可见 (默认 True，即可见)
+            "Visible": True,
+            # 是否在触发时清除历史 (默认 False，即不处理之前的对话历史)
+            "AutoClearHistory": True
         },
         "中文学术润色": {
             "Prefix":   r"作为一名中文学术论文写作改进助理，你的任务是改进所提供文本的拼写、语法、清晰、简洁和整体可读性，" +
@@ -76,3 +81,13 @@ def get_core_functions():
             "Suffix":   r"",
         }
     }
+
+
+def handle_core_functionality(additional_fn, inputs, history):
+    import core_functional
+    importlib.reload(core_functional)    # 热更新prompt
+    core_functional = core_functional.get_core_functions()
+    if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
+    inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+    history = [] if core_functional[additional_fn].get("AutoClearHistory", False) else history
+    return inputs, history

request_llm/bridge_chatglm.py

@@ -144,11 +144,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     # 处理历史信息
     history_feedin = []

request_llm/bridge_chatglmft.py

@@ -185,11 +185,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     # 处理历史信息
     history_feedin = []

request_llm/bridge_chatgpt.py

@@ -129,11 +129,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     raw_input = inputs
     logging.info(f'[raw_input] {raw_input}')

request_llm/bridge_claude.py

@@ -116,11 +116,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         return
     
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     raw_input = inputs
     logging.info(f'[raw_input] {raw_input}')

request_llm/bridge_internlm.py

@@ -290,11 +290,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     # 处理历史信息
     history_feedin = []

request_llm/bridge_jittorllms_llama.py

@@ -154,11 +154,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     # 处理历史信息
     history_feedin = []

request_llm/bridge_jittorllms_pangualpha.py

@@ -154,11 +154,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     # 处理历史信息
     history_feedin = []

request_llm/bridge_jittorllms_rwkv.py

@@ -154,11 +154,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     # 处理历史信息
     history_feedin = []

request_llm/bridge_moss.py

@@ -224,11 +224,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         yield from update_ui(chatbot=chatbot, history=history)
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     # 处理历史信息
     history_feedin = []

request_llm/bridge_newbingfree.py

@@ -224,11 +224,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     history_feedin = []
     for i in range(len(history)//2):

request_llm/bridge_stackclaude.py

@@ -248,14 +248,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
             return
 
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]:
-            inputs = core_functional[additional_fn]["PreProcess"](
-                inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + \
-            inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     history_feedin = []
     for i in range(len(history)//2):

request_llm/bridge_tgui.py

@@ -96,11 +96,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
         additional_fn代表点击的哪个按钮，按钮见functional.py
     """
     if additional_fn is not None:
-        import core_functional
-        importlib.reload(core_functional)    # 热更新prompt
-        core_functional = core_functional.get_core_functions()
-        if "PreProcess" in core_functional[additional_fn]: inputs = core_functional[additional_fn]["PreProcess"](inputs)  # 获取预处理函数（如果有的话）
-        inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
+        from core_functional import handle_core_functionality
+        inputs, history = handle_core_functionality(additional_fn, inputs, history)
 
     raw_input = "What I would like to say is the following: " + inputs
     history.extend([inputs, ""])

setup.py

@@ -0,0 +1,50 @@
+import setuptools, glob, os, fnmatch
+
+with open("README.md", "r", encoding="utf-8") as fh:
+    long_description = fh.read()
+
+    
+def _process_requirements():
+    packages = open('requirements.txt').read().strip().split('\n')
+    requires = []
+    for pkg in packages:
+        if pkg.startswith('git+ssh'):
+            return_code = os.system('pip install {}'.format(pkg))
+            assert return_code == 0, 'error, status_code is: {}, exit!'.format(return_code)
+        if pkg.startswith('./docs'):
+            continue
+        else:
+            requires.append(pkg)
+    return requires
+
+def package_files(directory):
+    import subprocess
+    list_of_files = subprocess.check_output("git ls-files", shell=True).splitlines()
+    return [str(k) for k in list_of_files]
+
+extra_files = package_files('./')
+
+setuptools.setup(
+    name="void-terminal",
+    version="0.0.0",
+    author="Qingxu",
+    author_email="505030475@qq.com",
+    description="LLM based APIs",
+    long_description=long_description,
+    long_description_content_type="text/markdown",
+    url="https://github.com/binary-husky/gpt-academic",
+    project_urls={
+        "Bug Tracker": "https://github.com/binary-husky/gpt-academic/issues",
+    },
+    classifiers=[
+        "Programming Language :: Python :: 3",
+        "License :: OSI Approved :: MIT License",
+        "Operating System :: OS Independent",
+    ],
+    package_dir={"": "."},
+    package_data={"": extra_files},
+    include_package_data=True,
+    packages=setuptools.find_packages(where="."),
+    python_requires=">=3.9",
+    install_requires=_process_requirements(),
+)