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0db9e70
1
Parent(s):
ef58f03
Add webcam support
Browse files
app.py
CHANGED
@@ -1,6 +1,4 @@
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import gradio as gr
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import glob
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import os
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from src.core import load_model, predict_traits
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@@ -12,26 +10,48 @@ TRAIT_NAMES = [
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"Openness",
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]
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DESCRIPTION =
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def get_traits(video):
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model = load_model()
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# if webcam_video:
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# trait_values = predict_traits(webcam_video, model)
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# else:
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trait_values = predict_traits(video, model)
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return {k: float(v) for k, v in zip(TRAIT_NAMES, trait_values)}
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get_traits,
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inputs=gr.Video(label="Video", include_audio=True),
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outputs=gr.Label(num_top_classes=5, label="Results"),
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)
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import gradio as gr
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from src.core import load_model, predict_traits
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"Openness",
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]
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DESCRIPTION = [
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"**Extraversion**: outgoing, energetic, talkative, active, assertive, etc.",
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"**Neuroticism**: worrying, self-pitying, unstable, tense, anxious, etc.",
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"**Agreeableness**: sympathetic, forgiving, generous, kind, appreciative, etc.",
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"**Conscientiousness**: responsible, organized, reliable, efficient, planful, etc.",
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"**Openness**: artistic, curious, imaginative, insightful, original, wide interests, etc.",
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]
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def get_traits(video):
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model = load_model()
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trait_values = predict_traits(video, model)
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return {k: float(v) for k, v in zip(TRAIT_NAMES, trait_values)}
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params = dict(
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# outputs=gr.Label(num_top_classes=5, label="Results"),
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# title="Personality Traits Prediction 📑",
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description="Predicts the Big-Five psychology traits of a person based an short introduction video. Adapted from [Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition](https://arxiv.org/abs/1609.05119).",
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article=" ".join(DESCRIPTION),
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thumbnail="https://cdn-icons-png.flaticon.com/512/3392/3392044.png",
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examples="egs",
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cache_examples=False,
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)
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primary_interface = gr.Interface(
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get_traits,
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inputs=gr.Video(label="Video", include_audio=True),
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outputs=gr.Label(num_top_classes=5, label="Results"),
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**params,
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)
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second_interface = gr.Interface(
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get_traits,
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inputs=gr.Video(label="Webcam", include_audio=True, source="webcam"),
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outputs=gr.Label(num_top_classes=5, label="Results"),
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**params,
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)
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app = gr.TabbedInterface(
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[primary_interface, second_interface],
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title="Personality Traits Prediction 📑",
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tab_names=["Video Upload", "Webcam"],
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)
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app.launch()
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