feat: app and requirements

app.py

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+## importing dependencies
+import gradio as gr
+from fastai.vision.all import *
+
+## importing model created
+learn = load_learner('model.pkl')
+
+## creating labels and examples to be used by the interface
+labels = learn.dls.vocab
+examples = ['stop_sign.png',
+            'pedestrian_crossing_sign.png',
+            'speed_limit_sign.png',
+            'bump_sign.png',
+            'semaphore_sign.png']
+
+## creating prediction function for the interface
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probability = learn.predict(img)
+    return {labels[i]: float(probability[i]) for i in range(len(labels))}
+
+## generating huggingFace's interface
+gr.Interface(fn=predict,
+             inputs=gr.components.Image(shape=(512, 512)),
+             outputs=gr.components.Label(num_top_classes=3),
+             examples=examples
+             ).launch(share=False)

requirements.txt

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+fastai