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Upload app.py
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app.py
CHANGED
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@@ -2,12 +2,17 @@ import hashlib
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import os
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import re
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import json
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import gradio as gr
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from chat_template import ChatTemplate
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from llama_cpp_python_streamingllm import StreamingLLM
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# ========== 让聊天界面的文本框等高 ==========
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custom_css = r'''
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#area > div {
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@@ -208,6 +213,9 @@ def btn_submit_com(_n_keep, _n_discard,
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_top_p, _min_p, _typical_p,
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _role, _max_tokens):
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# ========== 初始化输出模版 ==========
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t_bot = chat_template(_role)
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completion_tokens = [] # 有可能多个 tokens 才能构成一个 utf-8 编码的文字
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@@ -267,10 +275,15 @@ def btn_submit_com(_n_keep, _n_discard,
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# ========== 显示用户消息 ==========
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def btn_submit_usr(message: str, history):
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# ========== 模型流式响应 ==========
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@@ -281,6 +294,9 @@ def btn_submit_bot(history, _n_keep, _n_discard,
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _usr, _char,
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_rag, _max_tokens):
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# ========== 需要临时注入的内容 ==========
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rag_idx = None
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if len(_rag) > 0:
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@@ -336,6 +352,9 @@ def btn_submit_vo(_n_keep, _n_discard,
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_top_p, _min_p, _typical_p,
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _max_tokens):
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global vo_idx
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vo_idx = model.venv_create() # 创建隔离环境
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# ========== 模型输出旁白 ==========
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@@ -356,6 +375,9 @@ def btn_submit_suggest(_n_keep, _n_discard,
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_top_p, _min_p, _typical_p,
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _usr, _max_tokens):
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model.venv_create() # 创建隔离环境
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# ========== 模型输出 ==========
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_tmp = btn_submit_com(_n_keep, _n_discard,
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@@ -371,6 +393,15 @@ def btn_submit_suggest(_n_keep, _n_discard,
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yield _h, str((model.n_tokens, model.venv))
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# ========== 聊天页面 ==========
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with gr.Blocks() as chatting:
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with gr.Row(equal_height=True):
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@@ -396,7 +427,7 @@ with gr.Blocks() as chatting:
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fn=btn_submit_usr, api_name="submit",
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inputs=[msg, chatbot],
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outputs=[msg, chatbot, btn_submit]
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).
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fn=btn_submit_bot,
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inputs=[chatbot, setting_n_keep, setting_n_discard,
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setting_temperature, setting_repeat_penalty, setting_frequency_penalty,
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@@ -406,7 +437,7 @@ with gr.Blocks() as chatting:
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setting_mirostat_tau, role_usr, role_char,
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rag, setting_max_tokens],
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outputs=[chatbot, s_info]
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).
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fn=btn_submit_vo,
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inputs=[setting_n_keep, setting_n_discard,
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setting_temperature, setting_repeat_penalty, setting_frequency_penalty,
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@@ -415,7 +446,7 @@ with gr.Blocks() as chatting:
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setting_tfs_z, setting_mirostat_mode, setting_mirostat_eta,
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setting_mirostat_tau, setting_max_tokens],
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outputs=[vo, s_info]
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).
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fn=btn_submit_suggest,
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inputs=[setting_n_keep, setting_n_discard,
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setting_temperature, setting_repeat_penalty, setting_frequency_penalty,
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@@ -424,28 +455,31 @@ with gr.Blocks() as chatting:
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setting_tfs_z, setting_mirostat_mode, setting_mirostat_eta,
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setting_mirostat_tau, role_usr, setting_max_tokens],
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outputs=[msg, s_info]
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).
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fn=
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outputs=btn_submit
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)
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# ========== 用于调试 ==========
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btn_com1.click(fn=lambda: model.str_detokenize(model._input_ids), outputs=rag)
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@btn_com2.click(inputs=setting_cache_path,
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outputs=s_info)
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def btn_com2(_cache_path):
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# ========== 开始运行 ==========
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demo = gr.TabbedInterface([chatting, setting, role],
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["聊天", "设置", '角色'],
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css=custom_css)
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gr.close_all()
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demo.queue().launch(share=False)
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import os
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import re
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import json
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import threading
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import gradio as gr
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from chat_template import ChatTemplate
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from llama_cpp_python_streamingllm import StreamingLLM
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# ========== 全局锁,确保只能进行一个会话 ==========
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lock = threading.Lock()
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session_active = False
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# ========== 让聊天界面的文本框等高 ==========
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custom_css = r'''
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#area > div {
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_top_p, _min_p, _typical_p,
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _role, _max_tokens):
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with lock:
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if not session_active:
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raise RuntimeError
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# ========== 初始化输出模版 ==========
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t_bot = chat_template(_role)
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completion_tokens = [] # 有可能多个 tokens 才能构成一个 utf-8 编码的文字
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# ========== 显示用户消息 ==========
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def btn_submit_usr(message: str, history):
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global session_active
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with lock:
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if session_active:
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raise RuntimeError
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session_active = True
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# print('btn_submit_usr', message, history)
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if history is None:
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history = []
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return "", history + [[message.strip(), '']], gr.update(interactive=False)
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# ========== 模型流式响应 ==========
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _usr, _char,
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_rag, _max_tokens):
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with lock:
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if not session_active:
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raise RuntimeError
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# ========== 需要临时注入的内容 ==========
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rag_idx = None
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if len(_rag) > 0:
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_top_p, _min_p, _typical_p,
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _max_tokens):
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with lock:
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if not session_active:
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raise RuntimeError
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global vo_idx
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vo_idx = model.venv_create() # 创建隔离环境
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# ========== 模型输出旁白 ==========
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_top_p, _min_p, _typical_p,
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_tfs_z, _mirostat_mode, _mirostat_eta,
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_mirostat_tau, _usr, _max_tokens):
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with lock:
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if not session_active:
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raise RuntimeError
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model.venv_create() # 创建隔离环境
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# ========== 模型输出 ==========
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_tmp = btn_submit_com(_n_keep, _n_discard,
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yield _h, str((model.n_tokens, model.venv))
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def btn_submit_finish():
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global session_active
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with lock:
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if not session_active:
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raise RuntimeError
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session_active = False
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return gr.update(interactive=True)
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# ========== 聊天页面 ==========
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with gr.Blocks() as chatting:
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with gr.Row(equal_height=True):
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fn=btn_submit_usr, api_name="submit",
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inputs=[msg, chatbot],
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outputs=[msg, chatbot, btn_submit]
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).success(
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fn=btn_submit_bot,
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inputs=[chatbot, setting_n_keep, setting_n_discard,
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setting_temperature, setting_repeat_penalty, setting_frequency_penalty,
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setting_mirostat_tau, role_usr, role_char,
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rag, setting_max_tokens],
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outputs=[chatbot, s_info]
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).success(
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fn=btn_submit_vo,
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inputs=[setting_n_keep, setting_n_discard,
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setting_temperature, setting_repeat_penalty, setting_frequency_penalty,
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setting_tfs_z, setting_mirostat_mode, setting_mirostat_eta,
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setting_mirostat_tau, setting_max_tokens],
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outputs=[vo, s_info]
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).success(
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fn=btn_submit_suggest,
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inputs=[setting_n_keep, setting_n_discard,
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setting_temperature, setting_repeat_penalty, setting_frequency_penalty,
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setting_tfs_z, setting_mirostat_mode, setting_mirostat_eta,
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setting_mirostat_tau, role_usr, setting_max_tokens],
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outputs=[msg, s_info]
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).success(
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fn=btn_submit_finish,
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outputs=btn_submit
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)
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# ========== 用于调试 ==========
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# btn_com1.click(fn=lambda: model.str_detokenize(model._input_ids), outputs=rag)
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@btn_com2.click(inputs=setting_cache_path,
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outputs=[s_info, btn_submit])
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def btn_com2(_cache_path):
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with lock:
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_tmp = model.load_session(setting_cache_path.value)
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print(f'load cache from {setting_cache_path.value} {_tmp}')
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global vo_idx
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vo_idx = 0
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model.venv = [0]
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global session_active
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session_active = False
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return str((model.n_tokens, model.venv)), gr.update(interactive=True)
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# ========== 开始运行 ==========
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demo = gr.TabbedInterface([chatting, setting, role],
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["聊天", "设置", '角色'],
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css=custom_css)
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gr.close_all()
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demo.queue(max_size=1).launch(max_threads=1, share=False)
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