Delete app.py

app.py

@@ -1,40 +0,0 @@
-import evaluate
-import gradio as gr
-from PIL import Image
-
-module = evaluate.load("Bekhouche/PSNR")
-
-def compute_psnr(prediction, reference):
-    try:
-        prediction = Image.fromarray(prediction)
-        reference = Image.fromarray(reference)
-    except Exception as e:
-        return f"Error loading images: {e}"
-
-    module.add_batch(predictions=[prediction], references=[reference])
-    result = module.compute()
-    return result
-
-def custom_launch_gradio_widget(module):
-    metric_info = module._info()
-    
-    with gr.Blocks() as demo:
-        gr.Markdown(f"### {metric_info.description}")
-        gr.Markdown(f"**Citation:** {metric_info.citation}")
-        gr.Markdown(f"**Inputs Description:** {metric_info.inputs_description}")
-
-        prediction_input = gr.Image(type="numpy", label="Upload Prediction Image")
-        reference_input = gr.Image(type="numpy", label="Upload Reference Image")
-
-        run_button = gr.Button("Run PSNR")
-        output = gr.Textbox(label="PSNR Score")
-
-        run_button.click(
-            compute_psnr,
-            inputs=[prediction_input, reference_input],
-            outputs=output,
-        )
-
-    demo.launch()
-
-custom_launch_gradio_widget(module)