addpredictfunction

app.py

@@ -1,16 +1,7 @@
 import gradio as gr
-from fastai.vision.all import *
 
-learn = load_learner('export.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))}
-
-
-gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)),
-             outputs=gr.outputs.Label(num_top_classes=2)).launch()
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()

requirements.txt

@@ -1 +0,0 @@
-fastai