from threading import Thread import gradio as gr import inspect from gradio import routes from typing import List, Type import requests, os, re, asyncio, queue import math import time import datetime import requests, json from BlockChain_base import BlockChain loop = asyncio.get_event_loop() # 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 account_list = dict() account_list['id'] = "pass" name_list = dict() name_list['id'] = 'name' p2p_list = dict() p2p_list['id'] = '11111111' def chat(id, prompt): return "AI 응답입니다." def register(id, pw): if id in account_list: return "exist" else: account_list[id] = pw return "ok" def login(id, pw): if id in account_list: if account_list[id] == pw: return "ok" else: return "password error" else: return "no id" def add_name(id, name): name_list[id] = name return "ok" def get_name(id): if id in name_list: return name_list[id] else: return "no id" def get_id(name): reverse_dict= dict(map(reversed,name_list.items())) if name in reverse_dict: return reverse_dict[name] else: return "no name" def add_p(id, p_id): p2p_list[id] = p_id return "ok" def get_p(id): if id in p2p_list: return p2p_list[id] else: return "no id" def get_id_from_p2p(i): reverse_dict= dict(map(reversed,p2p_list.items())) if i in reverse_dict: return reverse_dict[i] else: return "no id" # Blockchain code def get_peers(name): data = requests.get("https://health.petals.dev/api/v1/state").json() out = [] for d in data['model_reports']: if d['name'] == "petals-team/StableBeluga2": for r in d['server_rows']: out.append(r['peer_id']) return out with gr.Blocks() as demo: count = 0 aa = gr.Interface( fn=chat, inputs=["text","text"], outputs="text", description="chat, ai 응답을 반환합니다. \n /run/predict", ) rr = gr.Interface( fn=register, inputs=["text", "text"], outputs="text", description="register, 회원가입(성공시:ok, 중복시:exist 반환)\n /run/predict_1", ) ll = gr.Interface( fn=login, inputs=["text", "text"], outputs="text", description="login, 로그인(성공시: ok, 실패시: password error, 아이디가 없으면: no id) \n /run/predict_2", ) ad = gr.Interface( fn=add_name, inputs=["text", "text"], outputs="text", description="add_name, id로 닉네임 추가. ok 반환.\n /run/predict_3", ) nn = gr.Interface( fn=get_name, inputs=["text"], outputs="text", description="get_name, id로 닉네임 반환(없으면 no id)\n /run/predict_4", ) nnn = gr.Interface( fn=get_id, inputs=["text"], outputs="text", description="get_name, 닉네임으로 id 반환(없으면 no name)\n /run/predict_5", ) adp = gr.Interface( fn=add_p, inputs=["text", "text"], outputs="text", description="add_p, id로 p2p id 추가. ok 반환. \n /run/predict_6", ) nnp = gr.Interface( fn=get_p, inputs=["text"], outputs="text", description="get_p, id로 p2p id 반환. 없으면 no id. \n /run/predict_7", ) nnp = gr.Interface( fn=get_id_from_p2p, inputs=["text"], outputs="text", description="get_p, p2p id로 일반 id 반환. 없으면 no id. \n /run/predict_8", ) gpeer = gr.Interface( fn=get_peers, inputs=["text"], outputs="text", description="get_peers, 해당 모델을 분산처리중인 peer들의 p2p id list 반환\n /run/predict_8", ) demo.queue(max_size=32).launch(enable_queue=True)