app.py

import gradio as gr
import mdtex2html
import pandas as pd
import random as rd
import os
import json
import time
import requests

rd.seed(time.time())

def postprocess(self, y):
    if y is None:
        return []
    for i, (message, response) in enumerate(y):
        y[i] = (
            None if message is None else mdtex2html.convert((message)),
            None if response is None else mdtex2html.convert(response),
        )
    return y


gr.Chatbot.postprocess = postprocess


def parse_text(text):
    """copy from https://github.com/GaiZhenbiao/ChuanhuChatGPT/"""
    lines = text.split("\n")
    lines = [line for line in lines if line != ""]
    count = 0
    for i, line in enumerate(lines):
        if "```" in line:
            count += 1
            items = line.split('`')
            if count % 2 == 1:
                lines[i] = f'<pre><code class="language-{items[-1]}">'
            else:
                lines[i] = f'<br></code></pre>'
        else:
            if i > 0:
                if count % 2 == 1:
                    line = line.replace("`", "\`")
                    line = line.replace("<", "&lt;")
                    line = line.replace(">", "&gt;")
                    line = line.replace(" ", "&nbsp;")
                    line = line.replace("*", "&ast;")
                    line = line.replace("_", "&lowbar;")
                    line = line.replace("-", "&#45;")
                    line = line.replace(".", "&#46;")
                    line = line.replace("!", "&#33;")
                    line = line.replace("(", "&#40;")
                    line = line.replace(")", "&#41;")
                    line = line.replace("$", "&#36;")
                lines[i] = "<br>"+line
    text = "".join(lines)
    return text


def showInput(input, chatbot):
    chatbot.append((parse_text(input), ""))
    return chatbot


def predict(input, chatbot, messages):
    chatbot.append((parse_text(input), ""))
    messages.append({"role": 'user', "content": input})
    response=requests.post(os.environ.get("URL"), data=messages).content
    chatbot[-1] = (parse_text(input), parse_text(response))
    messages.append({"role": "assistant", "content": response})
    return chatbot, messages


def reset_user_input():
    return gr.update(value='')


def reset_state():
    chatbot = []
    messages = []
    return chatbot, messages


def show_hide_answer():
    global show_ans
    if show_ans:
        show_ans = False
        return gr.update(value=""), gr.update(value="Show Answer")
    else:
        show_ans = True
        return gr.update(value=answer), gr.update(value="Hide Answer")


with gr.Blocks() as demo:
    gr.HTML("""<h1 align="center">海龟汤</h1>""")

    chatbot = gr.Chatbot([])
    with gr.Row():
        with gr.Column(scale=4):
            with gr.Column(scale=12):
                user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=10, max_lines=10).style(
                    container=False)
            with gr.Column(min_width=32, scale=1):
                submitBtn = gr.Button("Submit", variant="primary")
            emptyBtn = gr.Button("New game")
        with gr.Column(scale=1):
            answer_output = gr.Textbox(show_label=False, lines=13, max_lines=13).style(
                container=False)
            answerBtn = gr.Button("Show Answer")

    messages = gr.State([])

    submitBtn.click(predict, [user_input, chatbot, messages], [chatbot, messages],
                    show_progress=True)
    submitBtn.click(reset_user_input, [], [user_input])

    emptyBtn.click(reset_state, outputs=[chatbot, messages], show_progress=True)

    answerBtn.click(show_hide_answer, outputs=[answer_output, answerBtn])

demo.queue().launch()