Revert to old file

app.py

@@ -1,22 +1,7 @@
 import gradio as gr
-from fastai.vision.all import *
-import skimage
 
-learn = load_learner('bears.pkl')
+def greet(name):
+    return "Hello " + name + "!!"
 
-labels = learn.dls.vocab
-def predict(img):
-    img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
-
-title = "Bear Classifier"
-description = "A bear classifier trained on internet image dataset with fastai."
-article="<p style='text-align: center'>Thank you</p>"
-examples = ['black_bear_example.jpg']
-enable_queue=True
-
-gr.Interface(fn=predict,inputs=gr.Image(shape=(512, 512)),
-             outputs=gr.Label(num_top_classes=3),title=title,
-             description=description,article=article,examples=examples).launch(
-    enable_queue=enable_queue)
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()