Update app.py

app.py

@@ -1,11 +1,24 @@
+# Let's get pipelines from transformers
+from transformers import pipeline
+# Let's import Gradio
 import gradio as gr
 
-titulo='Demo de transcripcion'
-description='Este es un demo ejecutado en clase de Platzi'
+# Let's set up the model
+model = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-spanish")
+title = "Audio2Text"
+description = "Record your audio in Spanish and send it in order to received a transcription"
 
-gr.Interface.load(
-    'huggingface/facebook/wav2vec2-large-xlsr-53-spanish',
-    input=[gr.Audio(source='microphone',type='filepath')],
-    title=titulo,
-    description=description
+
+# Function
+def transcribe(audio):
+  # Let's invoke "model" defined above
+  text = model(audio)["text"]
+  return text
+
+
+# Interface Set-Up
+gr.Interface(
+    fn=transcribe,
+    inputs=[gr.Audio(source="microphone", type="filepath")],
+    outputs=["textbox"]
 ).launch()