update

app_locally.py

@@ -123,16 +123,16 @@ def predict(prompt, style, audio_file_pth, mic_file_path, use_mic, agree):
             None,
             None,
         )
-    if len(prompt) > 200:
-        text_hint += f"[ERROR] Text length limited to 200 characters for this demo, please try shorter text. You can clone our open-source repo and try for your usage \n"
-        gr.Warning(
-            "Text length limited to 200 characters for this demo, please try shorter text. You can clone our open-source repo for your usage"
-        )
-        return (
-            text_hint,
-            None,
-            None,
-        )
+#    if len(prompt) > 200:
+#        text_hint += f"[ERROR] Text length limited to 200 characters for this demo, please try shorter text. You can clone our open-source repo and try for your usage \n"
+#        gr.Warning(
+#            "Text length limited to 200 characters for this demo, please try shorter text. You can clone our open-source repo for your usage"
+#        )
+#        return (
+#            text_hint,
+#            None,
+#            None,
+#        )
     
     # note diffusion_conditioning not used on hifigan (default mode), it will be empty but need to pass it to model.inference
     try:
@@ -239,21 +239,6 @@ examples = [
 
 with gr.Blocks(analytics_enabled=False) as demo:
 
-    with gr.Row():
-        with gr.Column():
-            with gr.Row():
-                gr.Markdown(
-                    """
-                    ## <img src="https://huggingface.co/spaces/myshell-ai/OpenVoice/raw/main/logo.jpg" height="40"/>
-                    """
-                )
-            with gr.Row():    
-                gr.Markdown(markdown_table_v2)
-            with gr.Row():
-                gr.Markdown(description)
-        with gr.Column():
-            gr.Video('./open_voice.mp4', autoplay=True)
-            
     with gr.Row():
         gr.HTML(wrapped_markdown_content)
 
@@ -311,4 +296,4 @@ with gr.Blocks(analytics_enabled=False) as demo:
             tts_button.click(predict, [input_text_gr, style_gr, ref_gr, mic_gr, use_mic_gr, tos_gr], outputs=[out_text_gr, audio_gr, ref_audio_gr])
 
 demo.queue()  
-demo.launch(debug=True, show_api=True, share=args.share)
+demo.launch(debug=True, show_api=True, share=args.share)