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Update app.py
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app.py
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@@ -2,6 +2,7 @@ import gradio as gr
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from gradio_client import Client
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from huggingface_hub import InferenceClient
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import random
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from models import models
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ss_client = Client("https://omnibus-html-image-current-tab.hf.space/")
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'''
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@@ -16,18 +17,39 @@ models=[
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"JunRyeol/jr_model",
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]
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'''
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def test_models():
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log_box=[]
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for model in models:
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try:
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print(f'trying: {model}\n')
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client= InferenceClient(model)
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outp=client.text_generation("What is a cat")
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-
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print(f'{log}\n')
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log_box.append(log)
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except Exception as e:
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-
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print(f'{log}\n')
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log_box.append(log)
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yield log_box
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from gradio_client import Client
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from huggingface_hub import InferenceClient
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import random
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from datetime import datetime
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from models import models
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ss_client = Client("https://omnibus-html-image-current-tab.hf.space/")
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'''
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"JunRyeol/jr_model",
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]
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'''
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from datetime import datetime
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start_time = datetime.now()
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print(start_time)
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while not buff.endswith('/abc #'):
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print('waiting')
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time_delta = datetime.now() - start_time
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print(time_delta)
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if time_delta.total_seconds() >= 10:
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break
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def test_models():
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log_box=[]
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for model in models:
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start_time = datetime.now()
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try:
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print(f'trying: {model}\n')
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client= InferenceClient(model)
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outp=client.text_generation("What is a cat")
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time_delta = datetime.now() - start_time
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count=time_delta.total_seconds()
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#if time_delta.total_seconds() >= 180:
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log = {"Model":model,"Status":"Success","Output":outp, "Time":count}
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print(f'{log}\n')
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log_box.append(log)
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except Exception as e:
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time_delta = datetime.now() - start_time
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count=time_delta.total_seconds()
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log = {"Model":model,"Status":"Error","Output":e,"Time":count}
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print(f'{log}\n')
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log_box.append(log)
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yield log_box
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