Este si :v

app.py

@@ -1,20 +1,10 @@
+import gradio as gr
 from transformers import pipeline
-imagen = pipeline('image-classification',model='huggingface/microsoft/swin-tiny-patch4-window7-224')
-trans = pipeline("automatic-speech-recognition",model="facebook/wav2vec2-large-xlsr-53-spanish")
-clasificador = pipeline('text-classification',model="pysentimiento/robertuito-sentiment-analysis")
+from funciones import transcribe, clasificacion, clasifica_imagen
 
-def transcribe(audio):
-    text = trans(audio)["text"]
-    return text
 
-def clasificacion(text):
-    return clasificador(text)[0]["label"]
 
 
-def clasifica_imagen(img):
-    class_img = imagen(img)
-    return class_img
-    
 demo = gr.Blocks()
 with demo:
     gr.Markdown("Clasificacion de Audio a Sentimientos")