Update app.py

app.py

@@ -1,8 +1,9 @@
 import gradio as gr
 import torch
 import os
+import numpy as np
 from TTS.api import TTS
-
+from scipy.io.wavfile import write
 
 # Check if the user has agreed to the terms of service
 tos_gr = gr.Checkbox(
@@ -30,19 +31,23 @@ def generate_voice(text, language, sample_voice, tos_agreed):
     # Use the sample voice to convert text to speech
     wav = tts.tts(text=text, speaker_wav=speaker_wav_path, language=language)
 
-    # Play the generated audio
-    return wav
+    # Save the generated audio to a temporary file
+    output_path = "generated_audio.wav"
+    write(output_path, 22050, np.array(wav, dtype=np.int16))  # Use np.int16
+
+    # Return the path to the generated audio file
+    return output_path
 
 # Define the Gradio interface
 iface = gr.Interface(
     fn=generate_voice,
     inputs=[
-        gr.Textbox(lines=3, label="Enter Text"),  # Text input
-        gr.Dropdown(["es", "en", "fr"], label="Select Language"),  # Dropdown for language selection
-        gr.File(label="Upload Sample Voice"),  # File upload for sample voice
-        tos_gr,  # Checkbox for agreeing to the terms of service
+        gr.Textbox(lines=3, label="Enter Text"),
+        gr.Dropdown(["es", "en", "fr"], label="Select Language"),
+        gr.File(label="Upload Sample Voice"),
+        tos_gr,
     ],
-    outputs=gr.Audio(label="Generated Audio")
+    outputs=gr.Audio(label="Generated Audio"),
 )
 
 # Launch the Gradio interface