hello huggingface world

app.py

@@ -0,0 +1,40 @@
+# Load the model from gluten.py
+# Create a gradio interface for the model
+# Run the model on the interface
+
+from fastai.vision.all import *
+import gradio as gr
+
+
+# This method is required for unpickling
+def label_for_path(path):
+    return {
+        'bread': 'glutenful',
+        'gluten_free': 'glutenfree',
+        'man-made': 'glutenfree',
+        'fruit': 'glutenfree',
+        'malt_beverage': 'glutenful',
+        'meat': 'glutenfree',
+        'soy_sauce': 'glutenful',
+        'tamari': 'glutenfree'
+    }[str(list(path.parts)[1])]
+
+
+learn_inf = load_learner(Path() / 'gluten.pkl')
+
+categories = ('glutenful', 'gluten-free')
+
+
+def classify_image(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn_inf.predict(img)
+    return {categories[i]: float(probs[i]) for i in range(len(categories))}
+
+
+image = gr.inputs.Image()
+label = gr.outputs.Label()
+# examples = all files in the /examples folder
+examples = [f"examples/{i}" for i in os.listdir("examples")]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)