Update app.py

app.py

@@ -1,10 +1,14 @@
+import os
 import gradio as gr
 from TTS.api import TTS
 import tempfile
 import librosa
 import soundfile as sf
 
-# Initialize Coqui TTS model for Hindi (IndicTTS)
+# Explicitly accept TTS terms of service
+os.environ["COQUI_TOS_AGREED"] = "1"
+
+# Load Coqui TTS XTTS model
 tts_model_name = "tts_models/multilingual/multi-dataset/xtts_v2"
 tts = TTS(tts_model_name)
 
@@ -12,15 +16,15 @@ def text_to_speech_clone(text, voice_sample):
     if voice_sample is None:
         return "Please provide a voice sample audio.", None
     
-    # Load voice sample
+    # Load voice sample audio
     sample_wav, sample_rate = librosa.load(voice_sample, sr=22050)
 
-    # Save voice sample as wav temporarily
+    # Save sample temporarily in correct format
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_sample:
         sf.write(tmp_sample.name, sample_wav, sample_rate)
         voice_sample_path = tmp_sample.name
 
-    # Generate cloned speech in Hindi
+    # Generate cloned Hindi speech
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp_output:
         tts.tts_to_file(
             text=text,
@@ -47,4 +51,3 @@ iface = gr.Interface(
 )
 
 iface.launch()
-