File size: 1,510 Bytes
c2f1466 722ab73 c2f1466 cf7a07e da9b438 7192ffe d79f686 da9b438 25b9ddf c2f1466 37d9a7a 4287daf d9e24f8 37d9a7a 4287daf 6a14764 4287daf c374d69 c2f1466 5be15aa d79f686 5be15aa 3104338 5be15aa 6872135 3d5c996 1979413 d32111b 8bd8f14 |
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 |
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://34fa334f437945dc53.gradio.live/')
# 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):
result = gradio_client.predict(
x,
# str representing input in 'User input' Textbox component
80,
id,
fn_index=0
)
result = str(result)
output = result[len(result.rsplit(':', 1)[0]) + 2 :]
return output
with gr.Blocks() as demo:
count = 0
aa = gr.Interface(
fn=chat,
inputs="text",
outputs="text",
description="chat",
examples= [[f"๋๋ ๊ฟ์ด ๋ญ์ผ?"],[f"๋๋ ๋ฌด์จ ์์ ๊ฐ์ฅ ์ข์ํด?"]]
)
demo.queue(max_size=32).launch(enable_queue=True) |