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Update app.py
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app.py
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@@ -1,6 +1,7 @@
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import os
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os.system('pip install --force-reinstall gradio==3.39.0')
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import gradio as gr
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import torch
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import torch.nn.functional as F
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@@ -79,4 +80,12 @@ interface = gr.Interface(
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gr.outputs.Label(label="Class"),
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gr.outputs.Image(label="Face with Explainability", type="pil")
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],
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).launch()
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import os
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# os.system('pip install --force-reinstall gradio==3.39.0')
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os.system('pip install gradio_client')
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import gradio as gr
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import torch
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import torch.nn.functional as F
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gr.outputs.Label(label="Class"),
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gr.outputs.Image(label="Face with Explainability", type="pil")
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],
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).launch()
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from gradio_client import Client
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client = Client("https://vikasdeep-deepfacedetection.hf.space/")
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result = client.predict(
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"https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png", # str (filepath on your computer (or URL) of image) in 'Input Image' Image component
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api_name="/predict"
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)
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print(result)
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