Update app.py
Browse files
app.py
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@@ -5,6 +5,37 @@ from mediapipe.tasks.python import vision
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import gradio as gr
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import os
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def recognize_gesture(image):
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# Load the gesture recognition model
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model_path = os.path.abspath("arabic_signlanguage_characters_model.task")
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@@ -24,7 +55,7 @@ def recognize_gesture(image):
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top_gesture = recognition_result.gestures[0][0]
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# Return the gesture label and score
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return f"Gesture recognized: {top_gesture.category_name} ({top_gesture.score:.2f})"
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iface = gr.Interface(
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fn=recognize_gesture,
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import gradio as gr
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import os
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eng_ara_mapping ={
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' ':' ',
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"ain":'ع',
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"aleff":'أ',
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"bb":'ب',
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"dal":'د',
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"dha":'ط',
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"dhad":"ض",
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"fa":"ف",
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"gaaf":'ق',
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"ghain":'غ',
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"ha":'ه',
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"haa":'ح',
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"jeem":'ج',
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"kaaf":'ك',
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"laam":'ل',
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"meem":'م',
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"nun":"ن",
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"ra":'ر',
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"saad":'ص',
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"seen":'س',
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"sheen":"ش",
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"ta":'ت',
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"taa":'ط',
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"thaa":"ث",
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"thal":"ذ",
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"waw":'و',
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"ya":"ى",
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"zay":'ز',
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"khaa":'خ' }
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def recognize_gesture(image):
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# Load the gesture recognition model
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model_path = os.path.abspath("arabic_signlanguage_characters_model.task")
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top_gesture = recognition_result.gestures[0][0]
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# Return the gesture label and score
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return f"Gesture recognized: {eng_ara_mapping.pop(top_gesture.category_name)} ({top_gesture.score:.2f})"
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iface = gr.Interface(
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fn=recognize_gesture,
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