req

app.py

@@ -4,17 +4,16 @@ import gradio as gr
 # def greet(name):
 #     return "Hello " + name + "!!"
 
-def is_cat(x): return x[0].isupper()
-
 learn = load_learner('model.pkl')
 
 def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return dict(zip(learn.dls.vocab, map(float, probs)))
 
-image = gr.inputs.Image(shape=(192, 192))
+image = gr.Image(shape=(192, 192))
 label = gr.outputs.Label()
 examples = ['dog.jpg', 'cat.jpg','dunno.jpg']
 
+
 demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 demo.launch()

requirements.txt

@@ -6,4 +6,4 @@ nbdev>=0.2.12
 pandas
 scikit_learn
 azure-cognitiveservices-search-imagesearch
-sentencepiece
+sentencepiece