added app.py and model

app.py

@@ -0,0 +1,24 @@
+from fastai.vision.all import *
+import gradio as gr
+
+# gradio
+learn_caltech101 = load_learner('image_classifier_caltech101.pkl')
+
+# build prediction function
+labels = learn_caltech101.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn_caltech101.predict(img)
+    return {str(labels[i]):float(probs[i]) for i in range(len(labels))}
+
+# build gradio interface
+gradio_interface = gr.Interface(
+    title = "Caltech_101 Image Classifier",
+    description = "A simple image classifier based on the Caltech_101 dataset.",
+    fn=predict, 
+    inputs = gr.inputs.Image(shape=(224,224)), 
+    outputs = gr.outputs.Label(num_top_classes=5)
+)
+
+gradio_interface.launch(enable_queue=True)

image_classifier_caltech101.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2aeeaa7751f9c9c1f309bab71fbb0a22f747fd01cde17212903860e68e219dd
+size 87836655