modified requirements.txt

app.py

@@ -4,14 +4,14 @@ from fastai.vision.widgets import *
 import timm
 import gradio as gr
 categories = ('accident' , 'non-accident')
-learn = load_learner('/content/model.pkl')
+learn = load_learner('model.pkl')
 def classify(img):
   img = img.resize(224)
   categories,index,probs = learn.predict(img)
   return dict(zip(categories , map(float,probs)))
 img = gr.inputs.Image(shape=(224))
 label = gr.outputs.Label()
-example = ['/content/accident.jpg' , '/content/non-accident.jpg']
+example = ['accident.jpg' , 'non-accident.jpg']
 
 iface = gr.Interface(fn=classify, inputs="image", outputs="label" , examples= example)
 iface.launch()

requirements.txt

@@ -1,3 +1,3 @@
--Uqq fastbook
+fastbook
 fastai
 timm