Create app.py

app.py

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+import gradio as gr
+from TTS.api import TTS
+
+# Load a pre-trained TTS model
+tts = TTS(model_name="tts_models/en/ljspeech/tacotron2-DDC", progress_bar=False, gpu=False)
+
+def clone_voice(text, audio_file):
+    # Convert the input audio to a format that the model can use
+    # This step is simplified; in a real-world scenario, you might need to preprocess the audio
+    wav, sr = tts.load_audio(audio_file)
+    
+    # Clone the voice using the input audio as a reference
+    # This is a simplified example; in a real-world scenario, you might use a more complex cloning process
+    cloned_wav = tts.tts(text, speaker_wav=wav, language="en")
+    
+    # Save the cloned audio to a file
+    output_file = "cloned_voice.wav"
+    tts.save_wav(cloned_wav, output_file)
+    
+    return output_file
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=clone_voice,
+    inputs=[
+        gr.Textbox(label="Text to Clone"),
+        gr.Audio(label="Reference Audio", type="filepath")
+    ],
+    outputs=gr.Audio(label="Cloned Voice"),
+    title="Voice Cloning",
+    description="Upload a reference audio and input text to clone the voice."
+)
+
+# Launch the interface
+iface.launch()