Update app.py

app.py

@@ -2,24 +2,24 @@ import gradio as gr
 from googletrans import Translator
 from transformers import pipeline
 
-pipe = pipeline(model="Nikolajvestergaard/Japanese_Fine_Tuned_Whisper_Model")
+pipe = pipeline(model="femifoly/Spanish-Fine-Tune-whisper")
 
 def translate_and_transcribe(audio):
     translator = Translator()
     
-    # Transcribe Japanese audio to text
+    # Transcribe Spanish audio to text
     transcription = pipe(audio)["text"]  
 
     # Translate the transcription to English
     result = translator.translate(transcription, dest='en')
     translation = result.text
 
-    # Get the pronunciation of the transcription in Japanese
-    pronunciation = translator.translate(transcription, dest='ja').pronunciation
+    # Get the pronunciation of the transcription in Spanish
+    pronunciation = translator.translate(transcription, dest='es').pronunciation
 
     return transcription, pronunciation, translation
 
-input_audio = gr.inputs.Audio(label="Upload your Japanese speech here. Try to say 'Kon'nichiwa', 'Arigatō' or perhaps 'Sayōnara'", source="microphone", type="filepath")
+input_audio = gr.inputs.Audio(label="Upload your Spanish speech here. Try to say 'Hola', 'Como estas' or perhaps 'Que tal'", source="microphone", type="filepath")
 output_textbox1 = gr.outputs.Textbox(label="Transcription")
 output_textbox2 = gr.outputs.Textbox(label="Pronunciation")
 output_textbox3 = gr.outputs.Textbox(label="Translation")
@@ -28,8 +28,8 @@ iface = gr.Interface(
     fn=translate_and_transcribe, 
     inputs=input_audio, 
     outputs=[output_textbox1, output_textbox2, output_textbox3],
-    title="Japanese Automatic Speech Recognition, Pronunciation and Translation",
-    description="Record Japanese speech to get its pronunciation and translate it to English. All done by using a fine-tuned version of the tiny Whisper model which is connected to a Google Translate API"
+    title="Spanish Automatic Speech Recognition, Pronunciation and Translation",
+    description="Record Spanish speech to get its pronunciation and translate it to English. All done by using a fine-tuned version of the tiny Whisper model which is connected to a Google Translate API"
 )
 
 iface.launch()