Delete app.py

app.py

@@ -1,24 +0,0 @@
-import gradio as gr
-import numpy as np
-import tensorflow as tf
-from huggingface_hub import from_pretrained_keras
-
-description = "Keras implementation for Video Vision Transformer to classify samples of medmnist"
-article = "Author:<a href=\"https://huggingface.co/pablorodriper\"> Pablo Rodríguez</a>; Based on the keras example by <a href=\"https://keras.io/examples/vision/vivit/\">Aritra Roy Gosthipaty and Ayush Thakur</a>"
-title = "Video Vision Transformer on medmnist"
-
-def infer(x):
-    return model.predict(tf.expand_dims(x, axis=0))[0]
-
-model = from_pretrained_keras("keras-io/video-vision-transformer")
-
-iface = gr.Interface(
-    fn = infer,
-    inputs = "video",
-    outputs = "number",
-    description = description,
-    title = title,
-    article = article
-    )
-
-iface.launch()