Create app.py

app.py

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+!pip install transformers
+!pip install gradio
+
+from transformers import AutoImageProcessor
+from transformers import TFAutoModelForImageClassification
+import tensorflow as tf
+
+def classifier(image):
+  image_processor = AutoImageProcessor.from_pretrained("ZachBeesley/Food-Classifier")
+  inputs = image_processor(image, return_tensors="tf")
+  model = TFAutoModelForImageClassification.from_pretrained("ZachBeesley/Food-Classifier")
+  logits = model(**inputs).logits
+  predicted_class_id = int(tf.math.argmax(logits, axis=-1)[0])
+  return model.config.id2label[predicted_class_id]
+
+import gradio as gr
+
+
+demo = gr.Interface(fn=classifier, inputs="image", outputs="label")
+demo.launch()