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| from gradio_client import Client | |
| import time | |
| import os | |
| import gradio as gr | |
| from threading import Thread | |
| print("RAN") | |
| hf_token_id = os.environ['TOKEN'] | |
| client = Client("https://reverent-atlei2.hf.space/",hf_token=hf_token_id) | |
| def warmer(): | |
| while True: | |
| try: | |
| text_output,image_output = client.predict( | |
| "atleiwarm0001", # str in 'message' Textbox component | |
| "", # str (filepath or URL to image) in 'Upload any Image' Image component | |
| api_name="/predict" | |
| ) | |
| text_output_2,image_output_2 = client.predict( | |
| "atleiwarm0002", # str in 'message' Textbox component | |
| "", # str (filepath or URL to image) in 'Upload any Image' Image component | |
| api_name="/predict" | |
| ) | |
| if (text_output != None) and (text_output_2 != None): | |
| print("ALIVE") | |
| print("pygmalion response : ", text_output) | |
| print("qna response : ", text_output_2) | |
| else: | |
| print("DISCONNECTED") | |
| time.sleep(300) | |
| except Exception as e: | |
| print("NO INTERNET") | |
| print(str(e)) | |
| def placeholder(dummy): | |
| return "lol" | |
| t = Thread(target=warmer) | |
| t.start() | |
| iface = gr.Interface(fn=placeholder, inputs="text", outputs="text") | |
| iface.launch() | |