Update app.py

app.py

@@ -1,10 +1,52 @@
-$git clone https://huggingface.co/spaces/il-hoon/realKtimeKvoice
+import gradio as gr
+import os
+import shlex
+import gdown
+import uuid
+import torch
 
-import streamlit as st
+cpu_param = "--cpu" if not torch.cuda.is_available() else ""
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+def inference(audio_path, text, mic_path=None):
+    if mic_path:
+        audio_path = mic_path
+    output_path = f"/tmp/output_{uuid.uuid4()}.wav"
+    os.system(
+        f"python demo_cli.py --no_sound {cpu_param} --audio_path {audio_path} --text {shlex.quote(text.strip())} --output_path {output_path}")
+    return output_path
 
-$git add app.py
-$git commit -m "Add application file"
-$git push
+
+title = "Real-Time-Korea-Voice-Cloning"
+description = "Gradio demo for Real-Time-Korea-Voice-Cloning: Clone a voice in 600 seconds to generate arbitrary speech in real-time. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
+article = "<p style='text-align: center'><a href='https://matheo.uliege.be/handle/2268.2/6801' target='_blank'>Real-Time Voice Cloning</a> | <a href='https://github.com/CorentinJ/Real-Time-Voice-Cloning' target='_blank'>Github Repo</a></p>"
+
+examples = [['test.wav', "This is real time voice cloning on huggingface spaces"]]
+
+
+def toggle(choice):
+    if choice == "mic":
+        return gr.update(visible=True, value=None), gr.update(visible=False, value=None)
+    else:
+        return gr.update(visible=False, value=None), gr.update(visible=True, value=None)
+
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            radio = gr.Radio(["mic", "file"], value="mic",
+                             label="How would you like to upload your audio?")
+            mic_input = gr.Mic(label="Input", type="filepath", visible=False)
+            audio_file = gr.Audio(
+                type="filepath", label="Input", visible=True)
+            text_input = gr.Textbox(label="Text")
+        with gr.Column():
+            audio_output = gr.Audio(label="Output")
+
+    gr.Examples(examples, fn=inference, inputs=[audio_file, text_input],
+                      outputs=audio_output, cache_examples=True)
+    btn = gr.Button("Generate")
+    btn.click(inference, inputs=[audio_file,
+              text_input, mic_input], outputs=audio_output)
+    radio.change(toggle, radio, [mic_input, audio_file])
+
+demo.launch(enable_queue=True)