adde req.txt app.py

app.py

@@ -0,0 +1,17 @@
+from fastai.vision.all import *
+import gradio as gr
+
+def is_guitar(x): return x[0].isupper()
+
+learn = load.learner('model.pkl')
+
+catagories = ('Acoustic guitar','Violin', 'Chello')
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(catagories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(share=True)

requirements.txt

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