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import warnings | |
warnings.filterwarnings("ignore") | |
import gradio as gr | |
from src.video_model import describe_video # Assuming this function processes the video and query | |
# --- Function to construct the final query --- | |
def process_video_and_questions(video, sitting, hands, location, screen): | |
query = "Describe this video in detail and answer the questions" | |
additional_info = [] | |
if sitting: | |
additional_info.append("Is the subject in the video standing or sitting?") | |
if hands: | |
additional_info.append("Is the subject holding any object in their hands, if so the hands are not free else they are free?") | |
if location: | |
additional_info.append("Is the subject present indoors or outdoors?") | |
if screen: | |
additional_info.append("Is the subject interacting with a screen in the background by facing the screen?") | |
end_query = "Provide the results in JSON format with 0 being False and 1 being True" | |
final_query = query + " " + " ".join(additional_info) | |
final_prompt = final_query + " " + end_query | |
# Assuming your describe_video function handles the video processing | |
response = describe_video(video, final_prompt | |
return response | |
# Video and text inputs for the interface | |
video = gr.Video(label="Video") | |
# Options as checkboxes | |
sitting = gr.Checkbox(label="Sitting/Standing") | |
hands = gr.Checkbox(label="Hands Free/Not Free") | |
location = gr.Checkbox(label="Indoors/Outdoors") | |
screen = gr.Checkbox(label="Screen Interaction") | |
# Output for the interface | |
response = gr.Textbox(label="Predicted answer", show_label=True, show_copy_button=True) | |
# Examples for the interface | |
examples = [ | |
["videos/2016-01-01_0100_US_KNBC_Channel_4_News_1867.16-1871.38_now.mp4",], | |
["videos/2016-01-01_0200_US_KNBC_Channel_4_News_1329.12-1333.29_tonight.mp4",], | |
["videos/2016-01-01_0830_US_KNBC_Tonight_Show_with_Jimmy_Fallon_725.45-729.76_tonight.mp4",], | |
["videos/2016-01-01_0200_US_KOCE_The_PBS_Newshour_577.03-581.31_tonight.mp4"], | |
["videos/2016-01-01_1400_US_KTTV-FOX_Morning_News_at_6AM_1842.36-1846.68_this_year.mp4"], | |
["videos/2016-01-02_0735_US_KCBS_Late_Show_with_Stephen_Colbert_285.94-290.67_this_year.mp4"], | |
["videos/2016-01-13_2200_US_KTTV-FOX_The_Doctor_Oz_Show_1709.79-1714.17_this_month.mp4"], | |
["videos/2016-01-01_1400_US_KTTV-FOX_Morning_News_at_6AM_1842.36-1846.68_this_year.mp4"], | |
["videos/2016-01-01_1300_US_KNBC_Today_in_LA_at_5am_12.46-16.95_this_morning.mp4"], | |
["videos/2016-01-05_0200_US_KNBC_Channel_4_News_1561.29-1565.95_next_week.mp4"], | |
["videos/2016-01-28_0700_US_KNBC_Channel_4_News_at_11PM_629.56-633.99_in_the_future.mp4"] | |
] | |
# Title, description, and article for the interface | |
title = "GSoC Super Raid Annotator" | |
description = "Annotate Videos" | |
article = "<p style='text-align: center'><a href='https://github.com/OpenBMB/MiniCPM-V' target='_blank'>Model GitHub Repo</a> | <a href='https://huggingface.co/openbmb/MiniCPM-V-2_6' target='_blank'>Model Page</a></p>" | |
custom_theme = gr.themes.Soft( | |
# Set the primary hue of the Soft theme to your red color | |
primary_hue="red", | |
secondary_hue="red") | |
# Launch the interface | |
interface = gr.Interface( | |
fn=process_video_and_questions, # Updated function to handle the query construction | |
inputs=[video, sitting, hands, location, screen], | |
outputs=response, | |
examples=examples, | |
title=title, | |
description=description, | |
article=article, | |
theme=custom_theme, | |
allow_flagging="never", | |
) | |
interface.launch(debug=False) |