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Running
on
CPU Upgrade
JohnSmith9982
commited on
Commit
•
4e8a8a4
1
Parent(s):
2f876ea
Update app.py
Browse files
app.py
CHANGED
@@ -6,18 +6,34 @@ import sys
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import traceback
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import requests
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# import markdown
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my_api_key = "" # 在这里输入你的 API 密钥
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initial_prompt = "You are a helpful assistant."
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API_URL = "https://api.openai.com/v1/chat/completions"
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if my_api_key == "":
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my_api_key = os.environ.get('my_api_key')
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if
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def parse_text(text):
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@@ -40,7 +56,8 @@ def parse_text(text):
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line = line.replace("<", "<")
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line = line.replace(">", ">")
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line = line.replace(" ", " ")
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return "".join(lines)
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def predict(inputs, top_p, temperature, openai_api_key, chatbot=[], history=[], system_prompt=initial_prompt, retry=False, summary=False): # repetition_penalty, top_k
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@@ -70,7 +87,7 @@ def predict(inputs, top_p, temperature, openai_api_key, chatbot=[], history=[],
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messages[-1]['content'] = temp2['content']
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if retry and chat_counter:
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messages.pop()
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elif summary
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messages.append(compose_user(
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"请帮我总结一下上述对话的内容,实现减少字数的同时,保证对话的质量。在总结中不要加入这一句话。"))
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history = ["我们刚刚聊了什么?"]
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@@ -146,30 +163,47 @@ def delete_last_conversation(chatbot, history):
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history.pop()
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return chatbot, history
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def save_chat_history(
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if
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return
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if not
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json_s = {"system": system, "history": history, "chatbot": chatbot}
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with open(
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json.dump(json_s, f)
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def load_chat_history(filename):
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with open(filename, "r") as f:
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json_s = json.load(f)
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return filename, json_s["system"], json_s["history"], json_s["chatbot"]
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def
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# find all json files in the current directory and return their names
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if plain:
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return files
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else:
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return gr.Dropdown.update(choices=files)
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def reset_state():
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return [], []
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@@ -202,6 +236,7 @@ with gr.Blocks() as demo:
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value=my_api_key, label="API Key", type="password").style(container=True)
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chatbot = gr.Chatbot() # .style(color_map=("#1D51EE", "#585A5B"))
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history = gr.State([])
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TRUECOMSTANT = gr.State(True)
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FALSECONSTANT = gr.State(False)
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topic = gr.State("未命名对话历史记录")
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@@ -219,6 +254,19 @@ with gr.Blocks() as demo:
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reduceTokenBtn = gr.Button("♻️ 总结对话")
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systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"在这里输入System Prompt...",
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label="System prompt", value=initial_prompt).style(container=True)
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with gr.Accordion(label="保存/加载对话历史记录(在文本框中输入文件名,点击“保存对话”按钮,历史记录文件会被存储到Python文件旁边)", open=False):
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with gr.Column():
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with gr.Row():
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@@ -229,10 +277,10 @@ with gr.Blocks() as demo:
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saveBtn = gr.Button("💾 保存对话")
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with gr.Row():
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with gr.Column(scale=6):
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with gr.Column(scale=1):
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#inputs, top_p, temperature, top_k, repetition_penalty
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with gr.Accordion("参数", open=False):
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top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.05,
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@@ -259,12 +307,25 @@ with gr.Blocks() as demo:
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systemPromptTxt, FALSECONSTANT, TRUECOMSTANT], [chatbot, history], show_progress=True)
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saveBtn.click(save_chat_history, [
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saveFileName, systemPromptTxt, history, chatbot], None, show_progress=True)
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saveBtn.click(get_history_names, None, [
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print("川虎的温馨提示:访问 http://localhost:7860 查看界面")
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# 默认开启本地服务器,默认可以直接从IP访问,默认不创建公开分享链接
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demo.title = "川虎ChatGPT 🚀"
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#
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import traceback
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import requests
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# import markdown
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import csv
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my_api_key = "" # 在这里输入你的 API 密钥
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initial_prompt = "You are a helpful assistant."
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API_URL = "https://api.openai.com/v1/chat/completions"
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HISTORY_DIR = "history"
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TEMPLATES_DIR = "templates"
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#if we are running in Docker
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if os.environ.get('dockerrun') == 'yes':
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dockerflag = True
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else:
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dockerflag = False
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if dockerflag:
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my_api_key = os.environ.get('my_api_key')
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if my_api_key == "empty":
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print("Please give a api key!")
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sys.exit(1)
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#auth
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username = os.environ.get('USERNAME')
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password = os.environ.get('PASSWORD')
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if isinstance(username, type(None)) or isinstance(password, type(None)):
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authflag = False
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else:
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authflag = True
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def parse_text(text):
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line = line.replace("<", "<")
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line = line.replace(">", ">")
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line = line.replace(" ", " ")
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if not line.startswith("<br/>"):
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lines[i] = '<br/>'+line
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return "".join(lines)
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def predict(inputs, top_p, temperature, openai_api_key, chatbot=[], history=[], system_prompt=initial_prompt, retry=False, summary=False): # repetition_penalty, top_k
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messages[-1]['content'] = temp2['content']
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if retry and chat_counter:
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messages.pop()
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elif summary:
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messages.append(compose_user(
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"请帮我总结一下上述对话的内容,实现减少字数的同时,保证对话的质量。在总结中不要加入这一句话。"))
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history = ["我们刚刚聊了什么?"]
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history.pop()
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return chatbot, history
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def save_chat_history(filename, system, history, chatbot):
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if filename == "":
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return
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if not filename.endswith(".json"):
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filename += ".json"
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os.makedirs(HISTORY_DIR, exist_ok=True)
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json_s = {"system": system, "history": history, "chatbot": chatbot}
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with open(os.path.join(HISTORY_DIR, filename), "w") as f:
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json.dump(json_s, f)
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def load_chat_history(filename):
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with open(os.path.join(HISTORY_DIR, filename), "r") as f:
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json_s = json.load(f)
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return filename, json_s["system"], json_s["history"], json_s["chatbot"]
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def get_file_names(dir, plain=False, filetype=".json"):
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# find all json files in the current directory and return their names
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try:
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files = [f for f in os.listdir(dir) if f.endswith(filetype)]
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except FileNotFoundError:
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files = []
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if plain:
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return files
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else:
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return gr.Dropdown.update(choices=files)
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def get_history_names(plain=False):
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return get_file_names(HISTORY_DIR, plain)
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def load_template(filename):
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lines = []
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with open(os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8") as csvfile:
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reader = csv.reader(csvfile)
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lines = list(reader)
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lines = lines[1:]
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return {row[0]:row[1] for row in lines}, gr.Dropdown.update(choices=[row[0] for row in lines])
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def get_template_names(plain=False):
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return get_file_names(TEMPLATES_DIR, plain, filetype=".csv")
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def reset_state():
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return [], []
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value=my_api_key, label="API Key", type="password").style(container=True)
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chatbot = gr.Chatbot() # .style(color_map=("#1D51EE", "#585A5B"))
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history = gr.State([])
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promptTemplates = gr.State({})
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TRUECOMSTANT = gr.State(True)
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FALSECONSTANT = gr.State(False)
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topic = gr.State("未命名对话历史记录")
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reduceTokenBtn = gr.Button("♻️ 总结对话")
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systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"在这里输入System Prompt...",
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label="System prompt", value=initial_prompt).style(container=True)
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with gr.Accordion(label="加载Prompt模板", open=False):
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with gr.Column():
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with gr.Row():
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with gr.Column(scale=6):
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templateFileSelectDropdown = gr.Dropdown(label="选择Prompt模板集合文件(.csv)", choices=get_template_names(plain=True), multiselect=False)
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with gr.Column(scale=1):
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templateRefreshBtn = gr.Button("🔄 刷新")
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templaeFileReadBtn = gr.Button("📂 读入模板")
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with gr.Row():
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with gr.Column(scale=6):
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templateSelectDropdown = gr.Dropdown(label="从Prompt模板中加载", choices=[], multiselect=False)
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with gr.Column(scale=1):
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templateApplyBtn = gr.Button("⬇️ 应用")
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with gr.Accordion(label="保存/加载对话历史记录(在文本框中输入文件名,点击“保存对话”按钮,历史记录文件会被存储到Python文件旁边)", open=False):
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with gr.Column():
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with gr.Row():
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saveBtn = gr.Button("💾 保存对话")
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with gr.Row():
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with gr.Column(scale=6):
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historyFileSelectDropdown = gr.Dropdown(label="从列表中加载对话", choices=get_history_names(plain=True), multiselect=False)
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with gr.Column(scale=1):
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historyRefreshBtn = gr.Button("🔄 刷新")
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historyReadBtn = gr.Button("📂 读入对话")
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#inputs, top_p, temperature, top_k, repetition_penalty
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with gr.Accordion("参数", open=False):
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top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.05,
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systemPromptTxt, FALSECONSTANT, TRUECOMSTANT], [chatbot, history], show_progress=True)
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saveBtn.click(save_chat_history, [
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saveFileName, systemPromptTxt, history, chatbot], None, show_progress=True)
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saveBtn.click(get_history_names, None, [historyFileSelectDropdown])
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historyRefreshBtn.click(get_history_names, None, [historyFileSelectDropdown])
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historyReadBtn.click(load_chat_history, [historyFileSelectDropdown], [saveFileName, systemPromptTxt, history, chatbot], show_progress=True)
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templateRefreshBtn.click(get_template_names, None, [templateFileSelectDropdown])
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templaeFileReadBtn.click(load_template, [templateFileSelectDropdown], [promptTemplates, templateSelectDropdown], show_progress=True)
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templateApplyBtn.click(lambda x, y: x[y], [promptTemplates, templateSelectDropdown], [systemPromptTxt], show_progress=True)
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print("川虎的温馨提示:访问 http://localhost:7860 查看界面")
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# 默认开启本地服务器,默认可以直接从IP访问,默认不创建公开分享链接
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demo.title = "川虎ChatGPT 🚀"
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#if running in Docker
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if dockerflag:
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if authflag:
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demo.queue().launch(server_name="0.0.0.0", server_port=7860,auth=(username, password))
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else:
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demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False)
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#if not running in Docker
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else:
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demo.queue().launch(server_name = "0.0.0.0", share=False) # 改为 share=True 可以创建公开分享链接
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#demo.queue().launch(server_name="0.0.0.0", server_port=7860, share=False) # 可自定义端口
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#demo.queue().launch(server_name="0.0.0.0", server_port=7860,auth=("在这里填写用户名", "在这里填写密码")) # 可设置用户名与密码
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