Upload app.py

app.py

@@ -1,13 +1,11 @@
 import gradio as gr
+from fastai.vision.widgets import *
 from fastcore.all import *
 from fastai.vision.all import *
-from pathlib import Path
 
-plt = platform.system()
-if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
-    
+
+learn = load_learner('nihal_model.pkl')
 def classify_image(img):
-    learn = load_learner(str(Path('./nihal_model.pkl')))
     pred,pred_idx,probs = learn.predict(img)
     #return both the prediction and the probability either nihal or not and format in perccentage
     return pred, "{:.0%}".format(float(probs[pred_idx])),float(probs[~pred_idx])