int/gpt_academic
1
0
派生 0
镜像自地址 https://github.com/binary-husky/gpt_academic.git 已同步 2025-12-06 22:46:48 +00:00
代码 工单 软件包 项目 版本发布 百科 动态

Merge pull request #998 from awwaawwa/enable_clear_history_option

浏览代码 
增加自动清除历史消息时的提示
这个提交包含在：
binary-husky
2023-07-28 21:10:31 +08:00
提交者 GitHub
父节点 4216c5196e 86e33ea99a
当前提交 155a7e1174
共有 13 个文件被更改，包括 16 次插入 和 15 次删除
下载 Patch 文件 下载 Diff 文件 展开所有文件 折叠所有文件

7
core_functional.py
查看文件

@@ -19,7 +19,7 @@ def get_core_functions():
# 按钮是否可见 (默认 True，即可见) # 按钮是否可见 (默认 True，即可见)
"Visible": True, "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) # 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 "AutoClearHistory": False
}, },
"中文学术润色": { "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，" + "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，" +
@@ -83,11 +83,12 @@ def get_core_functions():
} }
def handle_core_functionality(additional_fn, inputs, history): def handle_core_functionality(additional_fn, inputs, history, chatbot):
import core_functional import core_functional
importlib.reload(core_functional) # 热更新prompt importlib.reload(core_functional) # 热更新prompt
core_functional = core_functional.get_core_functions() 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） 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"] inputs = core_functional[additional_fn]["Prefix"] + inputs + core_functional[additional_fn]["Suffix"]
history = [] if core_functional[additional_fn].get("AutoClearHistory", False) else history if core_functional[additional_fn].get("AutoClearHistory", False):
history = []
return inputs, history return inputs, history

2
request_llm/bridge_chatglm.py
查看文件

@@ -145,7 +145,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

2
request_llm/bridge_chatglmft.py
查看文件

@@ -186,7 +186,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

2
request_llm/bridge_chatgpt.py
查看文件

@@ -130,7 +130,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
raw_input = inputs raw_input = inputs
logging.info(f'[raw_input] {raw_input}') logging.info(f'[raw_input] {raw_input}')

2
request_llm/bridge_claude.py
查看文件

@@ -117,7 +117,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
raw_input = inputs raw_input = inputs
logging.info(f'[raw_input] {raw_input}') logging.info(f'[raw_input] {raw_input}')

2
request_llm/bridge_internlm.py
查看文件

@@ -291,7 +291,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

2
request_llm/bridge_jittorllms_llama.py
查看文件

@@ -155,7 +155,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

2
request_llm/bridge_jittorllms_pangualpha.py
查看文件

@@ -155,7 +155,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

2
request_llm/bridge_jittorllms_rwkv.py
查看文件

@@ -155,7 +155,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

2
request_llm/bridge_moss.py
查看文件

@@ -225,7 +225,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

2
request_llm/bridge_newbingfree.py
查看文件

@@ -225,7 +225,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
history_feedin = [] history_feedin = []
for i in range(len(history)//2): for i in range(len(history)//2):

2
request_llm/bridge_stackclaude.py
查看文件

@@ -249,7 +249,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
history_feedin = [] history_feedin = []
for i in range(len(history)//2): for i in range(len(history)//2):

2
request_llm/bridge_tgui.py
查看文件

@@ -97,7 +97,7 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
""" """
if additional_fn is not None: if additional_fn is not None:
from core_functional import handle_core_functionality from core_functional import handle_core_functionality
inputs, history = handle_core_functionality(additional_fn, inputs, history) inputs, history = handle_core_functionality(additional_fn, inputs, history, chatbot)
raw_input = "What I would like to say is the following: " + inputs raw_input = "What I would like to say is the following: " + inputs
history.extend([inputs, ""]) history.extend([inputs, ""])