Update app.py

app.py

@@ -44,7 +44,7 @@ def predict(prompt, upload_reference_audio, microphone_reference_audio, referenc
     return gr.Audio(value=output_file_path, type='filepath')
 
 
-def main(sadtaker_checkpoint_path=r"SadTalker/checkpoints", sadtalker_config_path=r"SadTalker/src/config"):
+def main():
     if torch.cuda.is_available():
         device = "cuda" 
     else:
@@ -70,11 +70,11 @@ def main(sadtaker_checkpoint_path=r"SadTalker/checkpoints", sadtalker_config_pat
 
         with gr.Row():
             with gr.Column(variant="panel"):
-                with gr.Tabs(elem_id="sadtalker_source_image"):
+                with gr.Tabs(elem_id="kdtalker_source_image"):
                     with gr.TabItem("Upload image"):
                         source_image = gr.Image(label="Source image", sources="upload", type="filepath", scale=256)
                 
-                with gr.Tabs(elem_id="sadtalker_driven_audio"):
+                with gr.Tabs(elem_id="kdtalker_driven_audio"):
                     with gr.TabItem("Upload"):
                         upload_driven_audio = gr.Audio(label="Upload audio", sources="upload", type="filepath")
                         upload_driven_audio.change(lambda: "upload", outputs=driven_audio_type)
@@ -90,7 +90,7 @@ def main(sadtaker_checkpoint_path=r"SadTalker/checkpoints", sadtalker_config_pat
                             lines=5,
                             placeholder="please enter some text here, we generate the audio from text using @Coqui.ai TTS."
                         )
-                        tts_button = gr.Button("Generate audio", elem_id="sadtalker_audio_generate", variant="primary")
+                        tts_button = gr.Button("Generate audio", elem_id="kdtalker_audio_generate", variant="primary")
                         tts_driven_audio = gr.Audio(label="Synthesised Audio", type="filepath")
                         tts_button.click(fn=predict, inputs=[input_text, upload_reference_audio, microphone_reference_audio, reference_audio_type], outputs=[tts_driven_audio])
                         tts_button.click(lambda: "tts", outputs=driven_audio_type)