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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


loop = asyncio.get_event_loop()
gradio_client = GrClient('https://ldhldh-demo.hf.space/')
# 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):
    x = f"[***λ„ˆλŠ” Assistantμž…λ‹ˆλ‹€. μƒλŒ€μ—κ²Œ λ‹€μ–‘ν•œ μ§ˆλ¬Έμ„ ν•˜λ©° λŒ€ν™”λ₯Ό 이끌고 μžˆμŠ΅λ‹ˆλ‹€. Humanμ—κ²Œ 긍정적이고, κ³΅κ°ν•˜λ©°, μ΅œλŒ€ν•œ 길게 λŒ€λ‹΅ν•΄μ£Όμ„Έμš”***]\nHuman: {x}\n\n###\nAssistant:"

    print("\n___________________\n" + f"{x}")
    
    result = gradio_client.predict(
        x,
        # str representing input in 'User input' Textbox component
		0.91,	# float, representing input in 'Top-p (nucleus sampling)' Slider component
		10,	    # int, representing input in 'Top-k (nucleus sampling)' Slider component
		0.65,	# float, representing input in 'Temperature' Slider component
		20,	    # int, representing input in 'Max New Tokens' Slider component
		1.2,	# float, representing input in 'repetition_penalty' Slider component
		fn_index=0
    )
    result = str(result)
    output = result[len(x.rsplit(':', 1)[0])+2:]
    output = re.sub('ν•˜ν•˜','γ…Žγ…Ž', output)
    output = output.split('띓')[0]
    output = output.split('endoftext')[0]
    output = re.sub('[=+#/\:@*\"β€»γ†γ€β€˜|\\\<\>\(\)\[\]`\'…》\”\β€œ\’·]', '', output)
    #output = re.sub('[a-zA-Z]',' ',output)
    
    return output

with gr.Blocks() as demo:
    count = 0
    aa = gr.Interface(
      fn=chat,
      inputs="text",
      outputs="text",
      description="chat",
    #examples= [[f"\nfriend: λ„ˆλŠ” 꿈이 뭐야? \nyou: "],[f"\nyou: λ„ˆλŠ” 무슨 색을 κ°€μž₯ μ’‹μ•„ν•΄? \nfriend: κΈ€μŽ„ λ„ˆλŠ”? \nyou: "]]
        examples= [[f"λ„ˆλŠ” 꿈이 뭐야?"],[f"λ„ˆλŠ” 무슨 색을 κ°€μž₯ μ’‹μ•„ν•΄?"]]
    )

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