Create appy.py

appy.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="Bruno/intent-classification-pt-setfit-model")
+
+dictionary={'48':'alarm_set',
+'46':'audio_volume_mute',
+'1':'iot_hue_lightchange',
+'40':'iot_hue_lightoff',
+'34':'iot_cleaning',
+}
+
+
+def greet(text, dictionary=dictionary):
+  response = pipe(text)
+  return dictionary[response[0]['label']]
+
+demo = gr.Interface(fn=greet, 
+  inputs="text", 
+  outputs="text", 
+  title="Aamzon PT-br Intent Classifier",
+  description="Aamzon PT-br Intent Classifier",
+  examples=[["pausa por dez segundos"],["definir a iluminação adequada para leitura"],["aspirar a casa"]]
+  cache_examples=False)
+
+demo.launch()