revert back to image input field

app.py

@@ -6,10 +6,6 @@ import gradio as gr
 # %% ModelTester.ipynb 3
 from fastai.metrics import Metric
 
-from PIL import Image
-import io
-import base64
-    
 class OrdinalRegressionMetric(Metric):
     def __init__(self):
         super().__init__()
@@ -56,22 +52,11 @@ learn = load_learner("textfile3-2.pk1")
 # %% ModelTester.ipynb 6
 categories = ("1","1-2","2","2-3","3","3-4","4","4-5","5")
 
-def classify_image(file):
-    # Check if the input is a NamedString object (file uploaded through Gradio)
-    if isinstance(file, gr.inputs.NamedString):
-        # Decode the base64 string to get the image data
-        img_data = base64.b64decode(file)
-    else:
-        # The input is a bytes-like object (image sent via API)
-        img_data = file
-
-    # Convert the bytes-like object to an Image object
-    img = Image.open(io.BytesIO(img_data))
-
+def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
-intf = gr.Interface(fn=classify_image, inputs='file', outputs='label')
-intf.launch(inline=False)
-
+# %% ModelTester.ipynb 8
 
+intf = gr.Interface(fn=classify_image, inputs='image', outputs='label')
+intf.launch(inline=False)