import gradio as gr import os import sys import argparse from huggingface_hub import hf_hub_download my_api_key = os.environ.get('my_api_key') if my_api_key == "empty": print("Please give a api key!") sys.exit(1) token = os.environ['HUB_TOKEN'] loc1 =hf_hub_download(repo_id="JunchuanYu/files_sydney", filename="utils.py",repo_type="dataset",local_dir='.',token=token) loc2 =hf_hub_download(repo_id="JunchuanYu/files_sydney", filename="chat_func.py",repo_type="dataset",local_dir='.',token=token) sys.path.append(loc1) sys.path.append(loc2) from utils import * from chat_func import * 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): # gr.Markdown(""" # ##### openai方面算力紧张导致Sydney网站运行很不稳定时常掉线,据报道OpenAI 的Plus版API一度停售,且限制3小时内只能问100个问题,预计这种情况要持续一段时间,请大家耐心等待,目前没有好的解决方法 # """) 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(""" ###
you can follow the WeChat public account [45度科研人] and leave me a message!


""") 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)