Create app.py

app.py

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+import gradio as gr
+import pyttsx3
+import os
+
+# Initialize the TTS engine
+engine = pyttsx3.init()
+
+# Get available voices
+voices = engine.getProperty('voices')
+
+# Create a dictionary to map voice names to IDs
+voice_map = {f"{voice.name} ({voice.languages[0] if voice.languages else 'Unknown'})": voice.id for voice in voices}
+
+def text_to_speech(text, voice_name, rate=200):
+    """
+    Convert text to speech with selected voice and rate.
+    Saves output as an audio file and returns the file path.
+    """
+    # Initialize engine for each call to avoid threading issues with Gradio
+    engine = pyttsx3.init()
+    
+    # Set voice
+    voice_id = voice_map.get(voice_name)
+    if not voice_id:
+        return "Error: Selected voice not found."
+    engine.setProperty('voice', voice_id)
+    
+    # Set speech rate
+    engine.setProperty('rate', rate)
+    
+    # Save audio to a file
+    output_file = "output.wav"
+    engine.save_to_file(text, output_file)
+    engine.runAndWait()
+    
+    return output_file
+
+# Gradio interface
+with gr.Blocks(title="Text-to-Speech with Different Voices") as demo:
+    gr.Markdown("# Text-to-Speech Converter")
+    gr.Markdown("Enter text and select a voice to convert it to speech with different voices and accents.")
+    
+    text_input = gr.Textbox(label="Enter Text", placeholder="Type your text here...")
+    voice_dropdown = gr.Dropdown(choices=list(voice_map.keys()), label="Select Voice/Accent")
+    rate_slider = gr.Slider(minimum=100, maximum=300, value=200, step=10, label="Speech Rate")
+    
+    convert_button = gr.Button("Convert to Speech")
+    audio_output = gr.Audio(label="Generated Speech")
+    
+    convert_button.click(
+        fn=text_to_speech,
+        inputs=[text_input, voice_dropdown, rate_slider],
+        outputs=audio_output
+    )
+
+# Launch the app (commented out for Hugging Face Spaces deployment)
+# demo.launch()
+
+if __name__ == "__main__":
+    demo.launch()