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README.md

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+---
+title: Sign Language Demo
+emoji: 😻
+colorFrom: red
+colorTo: purple
+sdk: gradio
+sdk_version: 5.25.2
+app_file: app.py
+pinned: false
+short_description: DEMO
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Unconfirmed 342298.crdownload

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+import gradio as gr
+import numpy as np
+import tensorflow as tf
+import cv2
+
+# Load model
+model = tf.keras.models.load_model("sign_language_model (1).h5")
+
+# A-Z excluding J and Z
+letters = [chr(i) for i in range(65, 91) if chr(i) not in ['J', 'Z']]
+
+def predict_sign_language(image):
+    gray = cv2.cvtColor(image, cv2.COLOR_RGB2GRAY)
+    resized = cv2.resize(gray, (28, 28))
+    normalized = resized / 255.0
+    reshaped = normalized.reshape(1, 28, 28, 1)
+    prediction = model.predict(reshaped)
+    pred_index = np.argmax(prediction)
+    predicted_letter = letters[pred_index]
+    confidence = float(np.max(prediction))
+    return f"{predicted_letter} (Confidence: {confidence:.2f})"
+
+image_input = gr.Image(type="numpy", sources=["webcam", "upload"], label="Show a Hand Sign")
+
+gr.Interface(
+    fn=predict_sign_language,
+    inputs=image_input,
+    outputs="text",
+    title="🤟 Sign Language Recognizer",
+    description="Use your webcam or upload an image of a hand sign (A-Z, except J & Z) to see prediction."
+).launch()

requirements.txt

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+gradio
+tensorflow
+opencv-python

sign_language_model%20%281%29.h5

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+oid sha256:cf2e42a9a010c2f4ec9e87731e56ef8a893a2fa4bc322b73ad3197ef88c26b9b
+size 2762816

sign_language_model.h5

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+size 2764352