atualiaza app

app.py

@@ -36,6 +36,12 @@ def classify_images(uploaded_file, images):
 
         return predictions
 
+# 
+exemplos = [
+    ["converted_keras.zip", ["example1.jpg", "example2.jpg"]]
+]
+
+# Gradio
 iface = gr.Interface(
     fn=classify_images,
     inputs=[
@@ -44,13 +50,9 @@ iface = gr.Interface(
     ],
     outputs="text",
     title="GTM-Keras-h5-Predictor",
-    description="In Google Teachable Machine, after training, under 'Export Model', go to 'Tensorflow', click on 'Keras' and then 'Download my model' (wait a moment). The zip will contain the Keras .h5 model."
+    description="In Google Teachable Machine, after training, under 'Export Model', go to 'Tensorflow', click on 'Keras' and then 'Download my model' (wait a moment). The zip will contain the Keras .h5 model.",
+    examples=exemplos
 )
 
-iface.add_example(inputs=["converted_keras.zip", ["example1.jpg", "example2.jpg"]])
-
-
 if __name__ == "__main__":
     iface.launch(debug=True)
-
-