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import gradio as gr
import os
import sys
import argparse
from utils import *
from chat_func import *
my_api_key = os.environ.get('my_api_key')
if my_api_key == "empty":
print("Please give a api key!")
sys.exit(1)
gr.Chatbot.postprocess = postprocess
with open("css_new.css", "r", encoding="utf-8") as f:
css = f.read()
with gr.Blocks(css=css,theme='gradio/soft') as demo:
history = gr.State([])
token_count = gr.State([])
promptTemplates = gr.State(load_template('myprompts.json', mode=2))
user_api_key = gr.State(my_api_key)
TRUECOMSTANT = gr.State(True)
FALSECONSTANT = gr.State(False)
gr.Markdown(title)
with gr.Row().style(equal_height=True):
with gr.Column(scale=12):
with gr.Accordion("Build by [45度科研人](WeChat Public Accounts)", open=False):
gr.Markdown(description)
with gr.Column(scale=1):
with gr.Box():
toggle_dark = gr.Button(value="Toggle Dark").style(full_width=True)
with gr.Row(scale=1).style(equal_height=True):
with gr.Column(scale=5):
with gr.Column():
chatbot = gr.Chatbot()
user_input = gr.Textbox(show_label=False, placeholder="Enter text and press submit", visible=True).style(container=False)
submitBtn = gr.Button("Submit",variant="primary").style(container=False)
emptyBtn = gr.Button("Restart Conversation",variant="secondary")
status_display = gr.Markdown("")
with gr.Column():
with gr.Column(min_width=50):
with gr.Tab(label="ChatGPT"):
with gr.Column():
with gr.Row():
keyTxt = gr.Textbox(show_label=False, placeholder=f"You can input your own openAI API-key",value=hide_middle_chars(my_api_key),visible=True, type="password", label="API-Key")
systemPromptTxt = gr.Textbox(show_label=True,placeholder=f"Set a custom insruction for the chatbot: You are a helpful assistant.",label="Custom prompt",value=initial_prompt,lines=10,)
with gr.Row():
templateSelectDropdown = gr.Dropdown(label="load from template",choices=load_template('myprompts.json', mode=1),
multiselect=False,value=load_template('myprompts.json', mode=1)[0],).style(container=False)
with gr.Tab(label="Settings"):
with gr.Column():
with gr.Row():
with gr.Column(scale=3):
saveFileName = gr.Textbox(show_label=True, placeholder=f"output file name...",label='Save conversation history', value="")
with gr.Column(scale=1):
exportMarkdownBtn = gr.Button("Save")
with gr.Row():
with gr.Column(scale=1):
downloadFile = gr.File(interactive=False)
gr.Markdown("""
### <div align=center>you can follow the WeChat public account [45度科研人] and leave me a message! </div>
<br /> <br />
<div style="display:flex; justify-content:center;">
<img src="https://dunazo.oss-cn-beijing.aliyuncs.com/blog/wechat-simple.png" style="margin-right:25px;width:200px;height:200px;">
<div style="width:25px;"></div>
<img src="https://dunazo.oss-cn-beijing.aliyuncs.com/blog/shoukuanma222.png" style="margin-left:25px;width:170px;height:190px;">
</div>
""")
toggle_dark.click(None,_js="""
() => {
document.body.classList.toggle('dark');
document.querySelector('gradio-app').style.backgroundColor = 'var(--color-background-primary)'
}""",)
keyTxt.submit(submit_key, keyTxt, [user_api_key, status_display])
keyTxt.change(submit_key, keyTxt, [user_api_key, status_display])
# Chatbot
user_input.submit(predict,[user_api_key,systemPromptTxt,history,user_input,chatbot,token_count,],[chatbot, history, status_display, token_count],show_progress=True)
user_input.submit(reset_textbox, [], [user_input])
submitBtn.click(predict,[user_api_key,systemPromptTxt,history,user_input,chatbot,token_count,],[chatbot, history, status_display, token_count],show_progress=True)
submitBtn.click(reset_textbox, [], [user_input])
emptyBtn.click(reset_state,outputs=[chatbot, history, token_count, status_display],show_progress=True,)
templateSelectDropdown.change(get_template_content,[promptTemplates, templateSelectDropdown, systemPromptTxt],[systemPromptTxt],show_progress=True,)
exportMarkdownBtn.click(export_markdown,[saveFileName, systemPromptTxt, history, chatbot],downloadFile,show_progress=True,)
downloadFile.change(load_chat_history,[downloadFile, systemPromptTxt, history, chatbot],[saveFileName, systemPromptTxt, history, chatbot],)
if __name__ == "__main__":
demo.queue().launch(debug=False,show_api=False)
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