Update app.py

app.py

@@ -1,28 +1,10 @@
 import gradio as gr
-import numpy as np # linear algebra
-import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
-import os   # operating system
 from fastai.vision.all import *   # fastai stuff
-import gradio as gr
 
 def is_cat(x): return x[0].isupper()
 
-dls = ImageDataLoaders.from_name_func('.',
-    get_image_files(path), valid_pct=0.2, seed=42,
-    label_func=is_cat,
-    item_tfms=Resize(192))
-
-learn = vision_learner(dls, resnet18, metrics=error_rate) 
-# fine_tune() method automatically uses best practices for fine tuning 
-# a pre-trained model
-learn.fine_tune(3)
-
-
-learn.export('model.pkl')
-
 learn_inf = load_learner(path/'model.pkl')
 
-
 categories =('Dog','Cat')
 def classify_image(img):
     pred, idx, probs = learn_inf.predict(img)
@@ -33,4 +15,4 @@ label = gr.outputs.Label()
 examples = ['dog.jpeg','cat.jpeg','catdog.jpeg']
 intt = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 
-iface.launch()
+iface.launch(inline=False)