Create app.py

app.py

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+import gradio as gr
+import numpy as np
+import librosa
+import soundfile as sf
+
+# Import SV2TTS modules (from the Real-Time-Voice-Cloning repo you’ll add as dependency)
+from encoder import inference as encoder
+from synthesizer.inference import Synthesizer
+from vocoder import inference as vocoder
+
+# Load models (make sure weights are in /saved_models in your repo)
+encoder.load_model("saved_models/encoder/saved_model.pt")
+synthesizer = Synthesizer("saved_models/synthesizer/saved_model.pt")
+vocoder.load_model("saved_models/vocoder/saved_model.pt")
+
+def clone_voice(sample_wav, text, consent):
+    if not consent:
+        return "⚠️ You must confirm consent to use this voice.", None
+    if sample_wav is None or text.strip() == "":
+        return "Please upload a sample and enter text.", None
+
+    wav, sr = librosa.load(sample_wav, sr=None)
+    wav = encoder.preprocess_wav(wav, sr)
+    embed = encoder.embed_utterance(wav)
+
+    # Generate mel spectrogram
+    specs = synthesizer.synthesize_spectrograms([text], [embed])
+    # Vocoder to waveform
+    generated_wav = vocoder.infer_waveform(specs[0])
+
+    out_path = "out.wav"
+    sf.write(out_path, generated_wav, synthesizer.sample_rate)
+    return "✅ Done", out_path
+
+with gr.Blocks() as demo:
+    gr.Markdown("# 🎙️ SV2TTS Voice Cloning Demo")
+    sample = gr.Audio(label="Upload speaker sample (5–10s)", source="upload", type="filepath")
+    txt = gr.Textbox(label="Text to say", value="Hello, this is a test.")
+    consent = gr.Checkbox(label="I confirm I have permission to clone this voice", value=False)
+    status = gr.Textbox(label="Status")
+    out_audio = gr.Audio(label="Generated audio")
+    btn = gr.Button("Generate")
+    btn.click(fn=clone_voice, inputs=[sample, txt, consent], outputs=[status, out_audio])
+
+if __name__ == "__main__":
+    demo.launch()