Adding changes

app.py

@@ -1,19 +1,5 @@
 import gradio as gr
-import numpy as np
-import tensorflow as tf 
-from PIL import Image
-def clasifica_imagen(inp):
-  inp = inp.resize((224,224))
-  inp = np.asarray(inp)[:,:,:3]
-  inp = inp.reshape(-1,224,224,3)
-  inp = tf.keras.applications.mobilenet_v2.preprocess_input(inp)
-  prediction = inception_net.predict(inp).flatten()
-  confidences = {etiquetas[i] : float(prediction[i]) for i in range(len(etiquetas)-1)}
-  return confidences
 
-demo=gr.Interface(fn= clasifica_imagen,
-                  inputs=gr.Image(type='pil',height=200, width = 200),
-                  outputs = gr.Label(num_top_classes = 3)
-                  )
+demo = gr.load("Helsinki-NLP/opus-mt-en-es", src="models")
 
 demo.launch()