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Update app.py
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app.py
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@@ -40,6 +40,18 @@ def predict_hand_gesture(image: np.ndarray):
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html_intro = """
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<h1 style='text-align:center; color:#2E86C1;'>🤟 Hand Gesture Classification</h1>
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<h3 style='text-align:center; color:#34495E;'>By Jashandeep Kaur</h3>
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"""
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iface = gr.Interface(
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html_intro = """
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<h1 style='text-align:center; color:#2E86C1;'>🤟 Hand Gesture Classification</h1>
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<h3 style='text-align:center; color:#34495E;'>By Jashandeep Kaur</h3>
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<p>
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**Note:** Currently, the model can recognize **19 common hand gestures** such as "fist", "peace", "like", "stop", and more.
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This is a subset of all possible gestures. The limitation exists because the model was trained only on these 19 gestures.
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### 🔹 Benefits of this project
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- Helps beginners explore **computer vision and deep learning** concepts.
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- Can be extended for **sign language recognition** in apps and educational tools.
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- Useful for learning **human-computer interaction** with gesture control.
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*Future work:* We plan to expand the model to recognize more gestures (50–78+) including greetings like "hello", "thank you", and other commonly used signs.
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</p>
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"""
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iface = gr.Interface(
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