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| import gradio as gr | |
| from viewer import show_videos_and_scores | |
| # Define the Gradio interface | |
| interface = gr.Interface( | |
| fn=show_videos_and_scores, | |
| inputs=[], | |
| outputs=[ | |
| gr.Video( | |
| label="Final Model Video", | |
| value="./rendered_videos/car_racing_final_model.avi", | |
| ), | |
| gr.Textbox(label="Final Model Score", value="902.5"), | |
| gr.Video( | |
| label="Best Model Video", | |
| value="./rendered_videos/car_racing_best_model.avi", | |
| ), | |
| gr.Textbox(label="Best Model Score", value="919.9"), | |
| ], | |
| title="Car Racing Videos Demo", | |
| description="This demo shows the final and best reinforcement learning model videos and scores of the Car Racing environment.", | |
| ) | |
| if __name__ == "__main__": | |
| interface.launch() | |