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import gradio as gr
import glob
import os
from src.core import load_model, predict_traits
TRAIT_NAMES = [
"Extraversion",
"Agreeableness",
"Conscientiousness",
"Neurotisicm",
"Openness",
]
DESCRIPTION = "\n'Extraversion': outgoing, energetic, talkative, active, assertive, etc.\n'Neuroticism': worrying, self-pitying, unstable, tense, anxious, etc.\n'Agreeableness': sympathetic, forgiving, generous, kind, appreciative, etc.\n'Conscientiousness': responsible, organized, reliable, efficient, planful, etc.\n'Openness': artistic, curious, imaginative, insightful, original, wide interests, etc."
def get_traits(video):
model = load_model()
# if webcam_video:
# trait_values = predict_traits(webcam_video, model)
# else:
trait_values = predict_traits(video, model)
return {k: float(v) for k, v in zip(TRAIT_NAMES, trait_values)}
demo = gr.Interface(
get_traits,
inputs=gr.Video(label="Video", include_audio=True),
outputs=gr.Label(num_top_classes=5, label="Results"),
title="Personality Traits Prediction [Prototype]",
description="Predicts the 5 psychological traits of a person using an short introduction video" + DESCRIPTION,
thumbnail="https://cdn-icons-png.flaticon.com/512/3392/3392044.png",
examples="egs",
cache_examples=True,
)
demo.launch()
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