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verify ignore history practice

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This commit is contained in:
505030475 2023-07-27 22:30:55 +08:00
parent 2df660a718
commit 4216c5196e
13 changed files with 41 additions and 65 deletions
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19
core_functional.py
View File

@ -1,7 +1,7 @@
# 'primary' 颜色对应 theme.py 中的 primary_hue # 'primary' 颜色对应 theme.py 中的 primary_hue
# 'secondary' 颜色对应 theme.py 中的 neutral_hue # 'secondary' 颜色对应 theme.py 中的 neutral_hue
# 'stop' 颜色对应 theme.py 中的 color_er # '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 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", r"Furthermore, list all modification and explain the reasons to do so in markdown table." + "\n\n",
# 后语 # 后语
"Suffix": r"", "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": { "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，" +
@ -76,3 +81,13 @@ def get_core_functions():
"Suffix": r"", "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

7
request_llm/bridge_chatglm.py
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@ -144,11 +144,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

7
request_llm/bridge_chatglmft.py
View File

@ -185,11 +185,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

7
request_llm/bridge_chatgpt.py
View File

@ -129,11 +129,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
raw_input = inputs raw_input = inputs
logging.info(f'[raw_input] {raw_input}') logging.info(f'[raw_input] {raw_input}')

7
request_llm/bridge_claude.py
View File

@ -116,11 +116,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
raw_input = inputs raw_input = inputs
logging.info(f'[raw_input] {raw_input}') logging.info(f'[raw_input] {raw_input}')

7
request_llm/bridge_internlm.py
View File

@ -290,11 +290,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

7
request_llm/bridge_jittorllms_llama.py
View File

@ -154,11 +154,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

7
request_llm/bridge_jittorllms_pangualpha.py
View File

@ -154,11 +154,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

7
request_llm/bridge_jittorllms_rwkv.py
View File

@ -154,11 +154,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

7
request_llm/bridge_moss.py
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@ -224,11 +224,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
yield from update_ui(chatbot=chatbot, history=history) yield from update_ui(chatbot=chatbot, history=history)
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
# 处理历史信息 # 处理历史信息
history_feedin = [] history_feedin = []

7
request_llm/bridge_newbingfree.py
View File

@ -224,11 +224,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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_feedin = [] history_feedin = []
for i in range(len(history)//2): for i in range(len(history)//2):

10
request_llm/bridge_stackclaude.py
View File

@ -248,14 +248,8 @@ def predict(inputs, llm_kwargs, plugin_kwargs, chatbot, history=[], system_promp
return return
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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_feedin = [] history_feedin = []
for i in range(len(history)//2): for i in range(len(history)//2):

7
request_llm/bridge_tgui.py
View File

@ -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 additional_fn代表点击的哪个按钮，按钮见functional.py
""" """
if additional_fn is not None: if additional_fn is not None:
import core_functional from core_functional import handle_core_functionality
importlib.reload(core_functional) # 热更新prompt inputs, history = handle_core_functionality(additional_fn, inputs, history)
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"]
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, ""])