TLeonidas commited on
Commit
9d8a651
1 Parent(s): f29ba06

Update app.py

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Files changed (1) hide show
  1. app.py +3 -17
app.py CHANGED
@@ -1,21 +1,7 @@
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  import gradio as gr
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- def classify_image(image):
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- # Preprocess the image
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- inputs = processor(images=image, return_tensors="pt")
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-
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- # Predict
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- outputs = model(**inputs)
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- predictions = outputs.logits.softmax(dim=-1)
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-
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- # Assuming your model returns two probabilities: [real, AI-generated]
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- probs = predictions.detach().numpy()[0]
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- labels = ['Real', 'AI-generated']
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- result = {labels[i]: probs[i] for i in range(len(labels))}
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-
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- return result
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-
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- # Create the Gradio interface
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- iface = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(224, 224)), outputs=gr.outputs.Label(num_top_classes=2))
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  iface.launch()
 
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  import gradio as gr
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+ def greet(name):
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+ return "Hello, " + name + ". Thank you for yout visit! \n This Project will be available after the Gulf Coast Conference & Expo on AI. \n You are welcome to join us at this event. \n Find out more at https://hcc.idloom.events/artificial-intelligence-conference-dit"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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  iface.launch()