prueba audio corregida

appTraduccion.py

@@ -1,33 +1,48 @@
 import gradio as gr
-import torch
-from PIL import Image
-from diffusers import DiffusionPipeline
 from transformers import pipeline
 import numpy as np
 
+
 traductor = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-es")
-emisorAudio = pipeline("text-to-speech", model="suno/bark-small")
+emitidorAudio = pipeline("text-to-speech", model="suno/bark-small")
+callback = gr.CSVLogger()
+
 
 def traducir(frase):
-    traduccion = traductor(frase)
+    traduccion = traductor(frase) 
     return traduccion[0]["translation_text"]
 
 def emitirAudio(texto_traducido):
-    audio = emisorAudio(texto_traducido)
 
+    audio = emitidorAudio(texto_traducido)
+    
     audio_array = np.array(audio["audio"][0], dtype=np.float32)
     sampling_rate = audio["sampling_rate"]
-
+    
     return (sampling_rate,audio_array)
 
-with gr.Blocks() as aplicacion:
+with gr.Blocks() as demo:
     gr.Markdown("ESTA ES NUESTRA APLICACIÓN")
     with gr.Row():
-        entrada = gr.Textbox(placeholder="Frase a traducir", label="Frase")
-        traduccion = gr.Textbox(label="Frase en Español")
-        salida = gr.Audio(label="Audio en Español")
+        with gr.Column(scale=1):
+            entrada = gr.Textbox(placeholder="Frase a traducir", label="Frase")
+        with gr.Column(scale=2):
+            traduccion = gr.Textbox(label="Frase en Español")
+            btn = gr.Button("Emitir Audio")
+        with gr.Column(scale=1):
+            salida = gr.Audio(label="Audio en Español")
+    with gr.Row():
+        btnFlag = gr.Button("Flag")
 
     entrada.change(fn=traducir, inputs=entrada, outputs=traduccion)
-    btn = gr.Button("Emitir Audio")
-    btn.click(fn=emitirAudio, inputs=traduccion, outputs=salida)
 
+    btn.click(fn=emitirAudio, inputs=traduccion, outputs=salida)
+    
+    # This needs to be called at some point prior to the first call to callback.flag()
+    callback.setup([entrada, traduccion, salida], "flagged_data_points")
+    
+    # We can choose which components to flag -- in this case, we'll flag all of them
+    btnFlag.click(lambda *args: callback.flag(list(args)), [entrada, traduccion, salida], None, preprocess=False)
+
+demo.launch()
+