Update app.py
Browse files
app.py
CHANGED
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@@ -44,38 +44,54 @@ def _call_apply_tts(text, speaker=DEFAULT_SPEAKER, sample_rate=DEFAULT_SAMPLE_RA
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print(f"Warning: Invalid speaker '{speaker}', using default '{DEFAULT_SPEAKER}'")
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speaker = DEFAULT_SPEAKER
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}
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try:
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def synthesize_text_to_wavfile(text, speaker=DEFAULT_SPEAKER, sample_rate=DEFAULT_SAMPLE_RATE):
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@@ -116,23 +132,34 @@ def tts_gradio_fn(text, speaker, sample_rate):
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Path to generated audio file
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"""
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if not text or not text.strip():
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raise
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# Create Gradio interface
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with gr.Blocks(title="Silero v4 Indic TTS") as demo:
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gr.Markdown("# Silero v4 Indic Text-to-Speech")
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gr.Markdown("Convert text to speech in multiple Indian languages")
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with gr.Row():
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with gr.Column():
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text_input = gr.Textbox(
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label="Enter Text",
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placeholder="
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lines=
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)
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speaker_dropdown = gr.Dropdown(
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@@ -158,10 +185,13 @@ with gr.Blocks(title="Silero v4 Indic TTS") as demo:
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# Examples
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gr.Examples(
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examples=[
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["
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["
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["
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["
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],
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inputs=[text_input, speaker_dropdown, sample_rate_dropdown],
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outputs=audio_output,
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print(f"Warning: Invalid speaker '{speaker}', using default '{DEFAULT_SPEAKER}'")
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speaker = DEFAULT_SPEAKER
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# Clean and validate text
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text = text.strip()
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if not text:
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raise ValueError("Text cannot be empty")
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# Remove zero-width characters and normalize
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text = text.replace('\u200d', '').replace('\u200c', '')
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print(f"Calling apply_tts with text: '{text}', speaker: '{speaker}', sample_rate: {sample_rate}")
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try:
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# Try with ssml_text parameter (some models prefer this)
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res = m.apply_tts(
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ssml_text=text,
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speaker=speaker,
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sample_rate=sample_rate
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)
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print("Success with ssml_text parameter")
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except Exception as e1:
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print(f"ssml_text attempt failed: {e1}")
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try:
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# Try with text parameter
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res = m.apply_tts(
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text=text,
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speaker=speaker,
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sample_rate=sample_rate
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)
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print("Success with text parameter")
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except Exception as e2:
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print(f"text attempt failed: {e2}")
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try:
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# Try minimal parameters
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res = m.apply_tts(
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text=text,
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speaker=speaker
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)
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print("Success with minimal parameters")
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except Exception as e3:
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print(f"All attempts failed. Last error: {e3}")
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raise ValueError(f"Text processing failed. The model may not support this text. Error: {e3}")
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# Handle different return types
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if isinstance(res, tuple):
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audio = res[0]
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else:
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audio = res
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return audio
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def synthesize_text_to_wavfile(text, speaker=DEFAULT_SPEAKER, sample_rate=DEFAULT_SAMPLE_RATE):
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Path to generated audio file
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"""
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if not text or not text.strip():
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raise gr.Error("Please enter some text to synthesize")
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# Warn if text is too long
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if len(text) > 200:
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raise gr.Error("Text is too long. Please use shorter text (under 200 characters)")
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try:
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path = synthesize_text_to_wavfile(text, speaker, sample_rate)
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return path
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except ValueError as e:
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raise gr.Error(f"Text processing failed: {str(e)}. Try simpler text or a different language.")
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except Exception as e:
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raise gr.Error(f"Speech generation failed: {str(e)}")
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# Create Gradio interface
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with gr.Blocks(title="Silero v4 Indic TTS") as demo:
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gr.Markdown("# Silero v4 Indic Text-to-Speech")
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gr.Markdown("Convert text to speech in multiple Indian languages")
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gr.Markdown("⚠️ **Note:** Use simple, short phrases for best results. Complex sentences may fail.")
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with gr.Row():
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with gr.Column():
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text_input = gr.Textbox(
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label="Enter Text",
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placeholder="नमस्ते (Enter short text in Hindi, Bengali, Tamil, etc.)",
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lines=3,
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info="Keep text short and simple for best results"
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)
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speaker_dropdown = gr.Dropdown(
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# Examples
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gr.Examples(
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examples=[
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["नमस्ते", "hindi_female", 48000],
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["आप कैसे हैं", "hindi_male", 48000],
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["হ্যালো", "bengali_female", 48000],
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["வணக்கம்", "tamil_female", 48000],
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["హలో", "telugu_female", 48000],
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["ಹಲೋ", "kannada_female", 48000],
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["હેલો", "gujarati_female", 48000],
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],
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inputs=[text_input, speaker_dropdown, sample_rate_dropdown],
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outputs=audio_output,
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