gradio app added

app.py

@@ -0,0 +1,28 @@
+import os
+
+import gradio as gr
+
+
+os.system('ffmpeg-normalize $sample -nt rms -t=-27 -o $sample -ar 16000 -f')
+
+def greet(text, audio_file_path):
+    text = "%s" % text
+    audio_file_path = "%s" % audio_file_path
+    out_path = "scripts/output/audio.wav"
+
+    os.system(f'python scripts/train.py --audio_path {audio_file_path}\
+     --output_dir "models"')
+    os.system(f'python scripts/cloning_inference.py --model_path "models/microsoft_speecht5_tts_{audio_file_path[:-4]}"\
+     --input_text {text} --output_path {out_path}')
+
+    return out_path
+
+
+demo = gr.Interface(
+    fn=greet,
+    inputs=[gr.inputs.Textbox(label='What would you like the voice to say? (max. 2000 characters per request)'),
+            gr.Audio(type="filepath", source="upload", label='Upload a voice to clone (max. 50mb)')],
+    outputs="audio",
+    title="Deep Voice Cloning Tool"
+    )
+demo.launch()