Update app.py

app.py

@@ -6,7 +6,6 @@ __all__ = ['learn', 'classify_image', 'categories', 'classifier', 'dog','image',
 from fastai.vision.all import *
 import gradio as gr
 import timm
-import streamlit as st
 
 # Cell
 learn = load_learner('model.pkl')
@@ -19,7 +18,7 @@ def classify_image(img):
     return dict(zip(categories, map(float,probs)))
 
 # Cell
-st.title("Chihuahua,Winner or Basset Hound")
+#st.title("Chihuahua,Winner or Basset Hound")
 image = gr.inputs.Image(shape=(192, 192))
 label = gr.outputs.Label()
 examples = ['dog0.jpg','dog1.jpg','dog2.jpg','dog3.jpg','dog4.jpg','dog5.jpg','dog6.jpg']