Create app.py
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app.py
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import gradio as gr
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import requests
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import torch
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def request_url(url):
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headers = {
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
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'Chrome/88.0.4324.146 Safari/537.36',
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}
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try:
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response = requests.get(url=url, headers=headers)
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if response.status_code == 200:
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return response.text
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except requests.RequestException:
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return None
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import timm
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model = timm.create_model("hf_hub:nateraw/resnet18-random", pretrained=True)
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model.train()
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import os
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def greet(name):
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# url = f'https://huggingface.co/spaces?p=1&sort=modified&search=GPT'
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# html = request_url(url)
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# key = os.getenv("OPENAI_API_KEY")
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# x = torch.ones([1,3,224,224])
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# out = model(x)
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return f"Hello {model.bn1.running_mean.data} !!"
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iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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iface.launch()
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