int/gpt_academic
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镜像自地址 https://github.com/binary-husky/gpt_academic.git 已同步 2025-12-06 06:26:47 +00:00
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fine tune reasoning css

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binary-husky
2025-02-09 20:26:52 +08:00
父节点 163e59c0f3
当前提交 add29eba08
共有 4 个文件被更改，包括 30 次插入 和 16 次删除
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2
main.py
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@@ -217,7 +217,7 @@ def main():
input_combo_order = ["cookies", "max_length_sl", "md_dropdown", "txt", "txt2", "top_p", "temperature", "chatbot", "history", "system_prompt", "plugin_advanced_arg"]
output_combo = [cookies, chatbot, history, status]
predict_args = dict(fn=ArgsGeneralWrapper(predict), inputs=[*input_combo, gr.State(True)], outputs=output_combo)
# 提交按钮、重置按钮
multiplex_submit_btn.click(
None, [multiplex_sel], None, _js="""(multiplex_sel)=>multiplex_function_begin(multiplex_sel)""")

2
request_llms/bridge_all.py
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@@ -1072,7 +1072,7 @@ if "zhipuai" in AVAIL_LLM_MODELS: # zhipuai 是glm-4的别名，向后兼容
})
except:
logger.error(trimmed_format_exc())
# -=-=-=-=-=-=- 幻方-深度求索大模型 -=-=-=-=-=-=-
# -=-=-=-=-=-=- 幻方-深度求索本地大模型 -=-=-=-=-=-=-
if "deepseekcoder" in AVAIL_LLM_MODELS: # deepseekcoder
try:
from .bridge_deepseekcoder import predict_no_ui_long_connection as deepseekcoder_noui

30
request_llms/oai_std_model_template.py
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@@ -1,13 +1,10 @@
import json
import time
import traceback
import requests
from loguru import logger
# config_private.py放自己的秘密如API和代理网址
# 读取时首先看是否存在私密的config_private配置文件（不受git管控），如果有，则覆盖原config文件
from toolbox import get_conf, is_the_upload_folder, update_ui
from loguru import logger
from toolbox import get_conf, is_the_upload_folder, update_ui, update_ui_lastest_msg
proxies, TIMEOUT_SECONDS, MAX_RETRY = get_conf(
"proxies", "TIMEOUT_SECONDS", "MAX_RETRY"
@@ -76,7 +73,7 @@ def decode_chunk(chunk):
finish_reason = chunk["choices"][0]["finish_reason"]
except:
pass
return response, reasoning_content, finish_reason
return response, reasoning_content, finish_reason, str(chunk)
def generate_message(input, model, key, history, max_output_token, system_prompt, temperature):
@@ -162,7 +159,7 @@ def get_predict_function(
用于负责跨越线程传递已经输出的部分，大部分时候仅仅为了fancy的视觉效果，留空即可。observe_window[0]：观测窗。observe_window[1]：看门狗
"""
from .bridge_all import model_info
watch_dog_patience = 5 # 看门狗的耐心，设置5秒不准咬人(咬的也不是人
watch_dog_patience = 5 # 看门狗的耐心，设置5秒不准咬人 (咬的也不是人)
if len(APIKEY) == 0:
raise RuntimeError(f"APIKEY为空,请检查配置文件的{APIKEY}")
if inputs == "":
@@ -215,7 +212,7 @@ def get_predict_function(
break
except requests.exceptions.ConnectionError:
chunk = next(stream_response) # 失败了，重试一次？再失败就没办法了。
response_text, reasoning_content, finish_reason = decode_chunk(chunk)
response_text, reasoning_content, finish_reason, decoded_chunk = decode_chunk(chunk)
# 返回的数据流第一次为空，继续等待
if response_text == "" and (reasoning == False or reasoning_content == "") and finish_reason != "False":
continue
@@ -252,9 +249,8 @@ def get_predict_function(
logger.error(error_msg)
raise RuntimeError("Json解析不合常规")
if reasoning:
style = 'padding: 1em; line-height: 1.5; text-wrap: wrap; opacity: 0.8'
paragraphs = ''.join([f'<p style="margin: 1.25em 0;">{line}</p>' for line in reasoning_buffer.split('\n')])
return f'''<div style="{style}">{paragraphs}</div>\n\n''' + result
return f'''<div class="reasoning_process" >{paragraphs}</div>\n\n''' + result
return result
def predict(
@@ -348,14 +344,21 @@ def get_predict_function(
gpt_reasoning_buffer = ""
stream_response = response.iter_lines()
wait_counter = 0
while True:
try:
chunk = next(stream_response)
except StopIteration:
if wait_counter != 0 and gpt_replying_buffer == "":
yield from update_ui_lastest_msg(lastmsg="模型调用失败 ...", chatbot=chatbot, history=history, msg="failed")
break
except requests.exceptions.ConnectionError:
chunk = next(stream_response) # 失败了，重试一次？再失败就没办法了。
response_text, reasoning_content, finish_reason = decode_chunk(chunk)
response_text, reasoning_content, finish_reason, decoded_chunk = decode_chunk(chunk)
if decoded_chunk == ': keep-alive':
wait_counter += 1
yield from update_ui_lastest_msg(lastmsg="等待中 " + "".join(["."] * (wait_counter%10)), chatbot=chatbot, history=history, msg="waiting ...")
continue
# 返回的数据流第一次为空，继续等待
if response_text == "" and (reasoning == False or reasoning_content == "") and finish_reason != "False":
status_text = f"finish_reason: {finish_reason}"
@@ -372,7 +375,7 @@ def get_predict_function(
chunk_decoded = chunk.decode()
chatbot[-1] = (
chatbot[-1][0],
f"[Local Message] {finish_reason},获得以下报错信息：\n"
f"[Local Message] {finish_reason}, 获得以下报错信息：\n"
+ chunk_decoded,
)
yield from update_ui(
@@ -390,9 +393,8 @@ def get_predict_function(
if reasoning:
gpt_replying_buffer += response_text
gpt_reasoning_buffer += reasoning_content
style = 'padding: 1em; line-height: 1.5; text-wrap: wrap; opacity: 0.8'
paragraphs = ''.join([f'<p style="margin: 1.25em 0;">{line}</p>' for line in gpt_reasoning_buffer.split('\n')])
history[-1] = f'<div style="{style}">{paragraphs}</div>\n\n' + gpt_replying_buffer
history[-1] = f'<div class="reasoning_process">{paragraphs}</div>\n\n---\n\n' + gpt_replying_buffer
else:
gpt_replying_buffer += response_text
# 如果这里抛出异常，一般是文本过长，详情见get_full_error的输出

12
themes/common.css
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@@ -311,3 +311,15 @@
backdrop-filter: blur(10px);
background-color: rgba(var(--block-background-fill), 0.5);
}
.reasoning_process {
font-size: smaller;
font-style: italic;
margin: 0px;
padding: 1em;
line-height: 1.5;
text-wrap: wrap;
opacity: 0.8;
}