Create app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+def segment(audio):
+    pass  # Implement your image segmentation model here...
+demo = gr.Blocks()
+with demo:
+    gr.Markdown("# **<p align='center'>DIFF-SVC Inference</p>**")
+
+    gr.Markdown(
+        """
+        <p style='text-align: center'>
+        Render whatever model you want with this space!
+        </p>
+        """
+    )
+    gr.File(label= 'Load your CKPT')
+    
+    audio_file = gr.Audio(label = 'Load your WAV', type="filepath")
+    gr.Slider(2, 20, value=4)
+    b1 = gr.Button("Render")
+    #b1.click(speech_to_text, inputs=audio_file, outputs=text)
+demo.launch(share=True)