Spaces:
Runtime error
Runtime error
File size: 4,212 Bytes
1227ebe c67779b 1227ebe 4f02a69 1227ebe c67779b 1227ebe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 |
import os; os.environ['no_proxy'] = '*'
import gradio as gr
from predict import predict
from toolbox import format_io, find_free_port
try: from config_private import proxies, WEB_PORT # 放自己的秘密如API和代理网址 os.path.exists('config_private.py')
except: from config import proxies, WEB_PORT
PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
initial_prompt = "Serve me as a writing and programming assistant."
title_html = """<h1 align="center">ChatGPT 学术优化</h1>"""
description = """<div align=center>
本项目参考自[chatgpt_academic](https://github.com/binary-husky/chatgpt_academic)
</div>
"""
import logging
os.makedirs('gpt_log', exist_ok=True)
logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO)
#print('所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log，请注意自我隐私保护哦！')
# 一些普通功能
from functional import get_functionals
functional = get_functionals()
# 对一些丧心病狂的实验性功能进行测试
from functional_crazy import get_crazy_functionals
crazy_functional = get_crazy_functionals()
gr.Chatbot.postprocess = format_io
with gr.Blocks() as demo:
gr.HTML(title_html)
with gr.Row():
with gr.Column(scale=2):
chatbot = gr.Chatbot()
chatbot.style(height=1000)
chatbot.style()
history = gr.State([])
TRUE = gr.State(True)
FALSE = gr.State(False)
with gr.Column(scale=1):
with gr.Row():
with gr.Column(scale=12):
api = gr.Textbox(show_label=False, placeholder="Input OpenAI Key.").style(container=False)
with gr.Column(scale=12):
txt = gr.Textbox(show_label=False, placeholder="Input question here.").style(container=False)
with gr.Column(scale=1):
submitBtn = gr.Button("Ask", variant="primary")
with gr.Row():
for k in functional:
variant = functional[k]["Color"] if "Color" in functional[k] else "secondary"
functional[k]["Button"] = gr.Button(k, variant=variant)
#for k in crazy_functional:
# variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary"
# crazy_functional[k]["Button"] = gr.Button(k, variant=variant)
from check_proxy import check_proxy
statusDisplay = gr.Markdown(f"{check_proxy(proxies)}")
systemPromptTxt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt).style(container=True)
#inputs, top_p, temperature, top_k, repetition_penalty
with gr.Accordion("arguments", open=False):
top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
temperature = gr.Slider(minimum=-0, maximum=5.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
gr.Markdown(description)
txt.submit(predict, [api, txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay])
submitBtn.click(predict, [api, txt, top_p, temperature, chatbot, history, systemPromptTxt], [chatbot, history, statusDisplay], show_progress=True)
for k in functional:
functional[k]["Button"].click(predict,
[api, txt, top_p, temperature, chatbot, history, systemPromptTxt, TRUE, gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
#for k in crazy_functional:
# crazy_functional[k]["Button"].click(crazy_functional[k]["Function"],
# [txt, top_p, temperature, chatbot, history, systemPromptTxt, gr.State(PORT)], [chatbot, history, statusDisplay])
def auto_opentab_delay():
import threading, webbrowser, time
print(f"URL http://localhost:{PORT}")
def open(): time.sleep(2)
webbrowser.open_new_tab(f'http://localhost:{PORT}')
t = threading.Thread(target=open)
t.daemon = True; t.start()
auto_opentab_delay()
demo.title = "ChatGPT 学术优化"
demo.queue().launch(share=False)
|