https://huggingface.co/spaces/Saad123/minimal

app.py

@@ -1,17 +1,5 @@
-from fastai.vision.all import *
-def is_cat(x): return x[0].isupper()
-import pathlib
-plt = platform.system()
-if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
-learn=load_learner("CatvsDogmodel.pkl")
-categories=('Dog','Cat')
-def classify_image(img):
-    pred, idx, probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
 import gradio as gr
-imag=gr.inputs.Image(shape=(224, 224))
-im = imag/255
-image = np.reshape(im, [1,224,224,3])
-label=gr.outputs.Label()
-intf=gr.Interface(fn=classify_image, inputs=image, outputs=label)
-intf.launch(inline=False)
+def hello(name):
+    return "Hello"+name
+interface = gr.Interface(fn=hello, inputs='text', outputs='text')
+interface.launch()