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app.py

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+import gradio as gr
+from kokoro import TTS
+import torch
+
+# Load model once at startup
+device = "cuda" if torch.cuda.is_available() else "cpu"
+
+# You can pick a voice that exists in Kokoro (e.g. 'af_heart', 'af_calypso', 'am_adam', etc.)
+VOICE = "af_heart"
+
+print("🔄 Loading Kokoro-TTS model...")
+tts = TTS(voice=VOICE, device=device)
+print("✅ Model loaded successfully!")
+
+
+def generate_audio(text):
+    if not text.strip():
+        return None, "Please enter some text."
+
+    try:
+        print("🎤 Generating audio...")
+        audio = tts.generate(text)          # returns numpy array (float32)
+        return (44100, audio), "Success!"
+    except Exception as e:
+        return None, f"Error: {str(e)}"
+
+
+### GRADIO UI ###
+with gr.Blocks(title="Kokoro-TTS Text → Audio") as demo:
+    gr.Markdown("## 🎧 Kokoro-TTS: Text to Speech Demo")
+
+    with gr.Row():
+        input_text = gr.Textbox(
+            label="Enter text",
+            placeholder="Type something to speak...",
+            lines=4
+        )
+
+    with gr.Row():
+        output_audio = gr.Audio(label="Generated Audio")
+        status = gr.Textbox(label="Status")
+
+    generate_button = gr.Button("Generate")
+
+    generate_button.click(
+        fn=generate_audio,
+        inputs=input_text,
+        outputs=[output_audio, status]
+    )
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio==4.44.0
+kokoro-tts
+torch
+numpy
+