from_csv added

app.py

@@ -4,6 +4,21 @@ import skimage
 
 learn = load_learner('export.pkl')
 
+def from_csv(x):
+  try:
+    pattern = '\/([A-Za-z\d]+.jpg)'
+
+    match = re.findall(pattern,str(x))
+    # print(match)
+    x = df.loc[df['image'] == match[0]]
+    # print(x)
+    y = x['emotion'].item() # #y=x['label'].values[0] 
+    return str(y)
+  except:
+    print('check these files')
+    print(x)
+    return 0 
+
 labels = learn.dls.vocab
 def predict(img):
     img = PILImage.create(img)