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Download app.py from EthanStanks/DroneCrashClassification: direct link, hf CLI and curl.
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https://huggingface.co/spaces/EthanStanks/DroneCrashClassification/resolve/main/app.py
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hf download hf://spaces/EthanStanks/DroneCrashClassification/app.py
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curl -L -o app.py https://huggingface.co/spaces/EthanStanks/DroneCrashClassification/resolve/main/app.py
1.69 kB
| import gradio as gr | |
| import app_backend | |
| gr.set_static_paths(['.']) | |
| def detect_crashes(name, sim_files, real_files, frame_out, text_output, file_out, video_out): | |
| for outputs in app_backend.backend(name, sim_files, real_files, frame_out, text_output, file_out, video_out): | |
| yield outputs | |
| with gr.Blocks(title="Drone Crash Detection") as demo: | |
| text_output = gr.Textbox(interactive=False) | |
| frame_output = gr.Image(interactive=False) | |
| video_output = gr.Gallery(interactive=False) | |
| file_output = gr.File(interactive=False) | |
| label = gr.Label("Drone Crash Classification Using Yolov8.", scale=0, show_label=False) | |
| student_name_tb = gr.Textbox( | |
| lines=1, | |
| placeholder="Enter student's name. Ex: 'First Last'", | |
| visible=True, | |
| show_label=True, | |
| label="Student's Name" | |
| ) | |
| simulation_videos_upload = gr.File( | |
| label="Upload Simulation Drone Videos", | |
| type="filepath", # Changed 'file' to 'filepath' | |
| file_count="multiple" | |
| ) | |
| real_videos_upload = gr.File( | |
| label="Upload Real Drone Videos", | |
| type="filepath", # Changed 'file' to 'filepath' | |
| file_count="multiple" | |
| ) | |
| with gr.Row(): | |
| btn_prompt = gr.Button("Detect Crashes") | |
| btn_prompt.click( | |
| fn=detect_crashes, | |
| inputs=[ | |
| student_name_tb, | |
| simulation_videos_upload, | |
| real_videos_upload, | |
| frame_output, | |
| text_output, | |
| file_output, | |
| video_output | |
| ], | |
| outputs=[frame_output, text_output, file_output, video_output] | |
| ) | |
| demo.launch() | |