app.py

import gradio as gr
from gradio_client import Client as GrClient
import inspect
from gradio import routes
from typing import List, Type

import requests, os, re, asyncio
import math
import time
import datetime


loop = asyncio.get_event_loop()
gradio_client = GrClient(os.environ.get('GrClient_url'))
# Monkey patch
def get_types(cls_set: List[Type], component: str):
    docset = []
    types = []
    if component == "input":
        for cls in cls_set:
            doc = inspect.getdoc(cls)
            doc_lines = doc.split("\n")
            docset.append(doc_lines[1].split(":")[-1])
            types.append(doc_lines[1].split(")")[0].split("(")[-1])
    else:
        for cls in cls_set:
            doc = inspect.getdoc(cls)
            doc_lines = doc.split("\n")
            docset.append(doc_lines[-1].split(":")[-1])
            types.append(doc_lines[-1].split(")")[0].split("(")[-1])
    return docset, types
routes.get_types = get_types

# App code
def chat(x, id, cdata):    
    start = time.time()
    result = gradio_client.predict(
        x,
        # str representing input in 'User input' Textbox component
        id,
        cdata,
		fn_index=0
    )
    result = str(result)
    
    end = time.time()


    sec = (end - start)
    result_list = str(datetime.timedelta(seconds=sec)).split(".")
    print()
    print("응답 시간 : " + result_list[0] +"\nx:"+ x +"\nid:"+ id +"\ncdata:+ cdata +"\nresult:"+ result)
    return result

with gr.Blocks() as demo:
    count = 0
    aa = gr.Interface(
      fn=chat,
      inputs=["text","text", "text"],
      outputs="text",
      description="chat",
    )

    demo.queue(max_size=32).launch(enable_queue=True)