up

app.py

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+import gradio as gr
+from TTS.api import TTS
+
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1", gpu=True)
+
+def predict(prompt, audio_file_pth):
+
+    tts.tts_to_file(text=prompt,
+                file_path="output.wav",
+                speaker_wav=audio_file_pth,
+                language="en")
+
+    return gr.make_waveform(audio="output.wav",)
+
+
+title = "XTTS: MVP"
+
+gr.Interface(
+    fn=predict,
+    inputs=[
+        gr.Textbox(label="Prompt", info = "One or two sentences at a time is better* (max: 10)", placeholder = "It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",),
+        gr.Audio(label="Upload Speaker WAV", type="filepath"),
+    ],
+    outputs=[
+        gr.Video(label="Synthesised Speech"),
+    ],
+    title=title,
+).launch(debug=True)