Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+import tensorflow as tf
+import numpy as np
+import soundfile as sf
+import os
+
+MODEL_PATH = "model/clone_tts_model.h5"
+TEXT_MAX_LEN = 100
+SAMPLE_RATE = 22050
+
+# Load model once
+model = tf.keras.models.load_model(MODEL_PATH)
+
+def synthesize(text):
+    x_input = np.array([[ord(c) for c in text.ljust(TEXT_MAX_LEN)[:TEXT_MAX_LEN]]])
+    audio = model.predict(x_input)[0]
+    output_path = "output/generated.wav"
+    os.makedirs("output", exist_ok=True)
+    sf.write(output_path, audio, SAMPLE_RATE)
+    return output_path
+
+demo = gr.Interface(
+    fn=synthesize,
+    inputs=gr.Textbox(label="Enter Text"),
+    outputs=gr.Audio(label="Generated Speech", type="filepath"),
+    title="Clone TTS",
+    description="A simple Text-to-Speech model trained on the 'clone' dataset."
+)
+
+if __name__ == "__main__":
+    demo.launch()