Created app.py

app.py

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+import spaces
+import gradio as gr
+import torch
+from TTS.api import TTS
+import os
+os.environ["COQUI_TOS_AGREED"] = "1"
+
+device = "cuda"
+
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)
+
+@spaces.GPU(enable_queue=True)
+def clone(text):
+    audio = 'https://github.com/Spyrosigma/Voices-in-my-Head/blob/main/voice1.mp3'
+    tts.tts_to_file(text=text, speaker_wav=audio, language="en", file_path="./output.wav")
+    return "./output.wav"
+
+iface = gr.Interface(fn=clone, 
+                     inputs=[gr.Textbox(label='Text'),gr.Audio(type='filepath', label='Voice reference audio file')], 
+                     outputs=gr.Audio(type='filepath'),
+                     title='Voice Clone',
+                     description="""
+                        ❤️ 
+                     """,
+                     theme = gr.themes.Base(primary_hue="teal",secondary_hue="teal",neutral_hue="slate"),
+iface.launch()