Update app.py

app.py

@@ -6,7 +6,7 @@ import time
 
 pipe_base = pipeline("automatic-speech-recognition", model="aitor-medrano/lara-base-pushed")
 pipe_small = pipeline("automatic-speech-recognition", model="aitor-medrano/whisper-small-lara")
-pipe_base_2000 = pipeline("automatic-speech-recognition", model="aitor-medrano/whisper-base-lara-2000")
+#pipe_base_2000 = pipeline("automatic-speech-recognition", model="aitor-medrano/whisper-base-lara-2000")
 
 def greet(grabacion):
     inicio = time.time()
@@ -18,11 +18,12 @@ def greet(grabacion):
 
     result_base = "base:" + pipe_base({"sampling_rate": sr, "raw": y})["text"]
     result_small = "small:" + pipe_small({"sampling_rate": sr, "raw": y})["text"]
-    result_base_2000 = "base_2000:" + pipe_base_2000({"sampling_rate": sr, "raw": y})["text"]
+    #result_base_2000 = "base_2000:" + pipe_base_2000({"sampling_rate": sr, "raw": y})["text"]
 
     fin = time.time()
 
-    return result_base, result_small, result_base_2000, fin - inicio
+    #return result_base, result_small, result_base_2000, fin - inicio
+    return result_base, result_small, fin - inicio
 
 demo = gr.Interface(fn=greet,
         inputs=[
@@ -31,7 +32,7 @@ demo = gr.Interface(fn=greet,
         outputs=[
             gr.Text(label="Salida (Base)"),
             gr.Text(label="Salida (Small)"),
-            gr.Text(label="Salida (Base 2000)"),
+            #gr.Text(label="Salida (Base 2000)"),
             gr.Number(label="Tiempo")
         ])
 demo.launch()