Create infer.py

infer.py

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+import tensorflow as tf
+import librosa
+import numpy as np
+import soundfile as sf
+
+# Load the trained model
+model = tf.keras.models.load_model('model/clone_tts_model.h5')
+
+# Define input text
+text_input = "Hello, welcome to CloneTTS. This is an example of text-to-speech synthesis."
+
+# Generate the speech (preprocess as needed depending on model requirements)
+speech = model.predict(np.array([text_input]))
+
+# Save the generated speech to a .wav file
+sf.write('output/speech.wav', speech, 22050)  # Adjust sample rate as necessary
+
+print("Speech generated and saved as 'output/speech.wav'")