error handle

app.py

@@ -1,33 +1,40 @@
-import gradio as gr
 from fastai.vision.all import *
-import sys
-import subprocess
-
-# Install fasttransform for model compatibility
-try:
-    import fasttransform  # This makes the Pipeline class available for unpickling
-except ImportError:
-    subprocess.check_call([sys.executable, "-m", "pip", "install", "fasttransform"])
-
-learn = load_learner('model.pkl')
-labels = learn.dls.vocab
-
-def predict(img):
-    img = PILImage.create(img)
-    pred, pred_idx, probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
-
-title = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
-article = "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('modeltest.pkl')
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
 examples = ['siamese.png']
 
-gr.Interface(
-    fn=predict,
-    inputs=gr.Image(shape=(512, 512)),  # Updated to newer Gradio syntax
-    outputs=gr.Label(num_top_classes=3),  # Updated to newer Gradio syntax
-    title=title,
-    description=description,
-    article=article,
-    examples=examples
-).launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+
+
+# labels = learn.dls.vocab
+
+
+
+# title = "Pet Breed Classifier"
+# description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+# article = "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+
+
+# gr.Interface(
+#     fn=predict,
+#     inputs=gr.Image(shape=(512, 512)),  # Updated to newer Gradio syntax
+#     outputs=gr.Label(num_top_classes=3),  # Updated to newer Gradio syntax
+#     title=title,
+#     description=description,
+#     article=article,
+#     examples=examples
+# ).launch()

model.pkl → modeltest.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d84472b1140392587f3894cacd29dc0feb9ea948f4092deba42ad90da83c6dd6
-size 47060011
+oid sha256:1c09d8f778f89c9eb588eefd9a5ba094eb163cd3ea708a4ea567a83e924f149f
+size 47059947

requirements.txt

@@ -1,3 +1 @@
-fastai
-gradio
-fasttransform
+fastai