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import gradio as gr | |
import tensorflow as tf | |
import numpy as np | |
# Load your sign language prediction model | |
model = tf.keras.models.load_model(r"C:\Users\Jeffery.st\Desktop\st.Jeffery00\mega\model.h5") | |
# Define the prediction function | |
def predict_sign_language(image): | |
# Run inference using the model | |
prediction = model.predict(np.expand_dims(image, axis=0)) | |
# ... (post-processing if required) | |
return prediction | |
# Define the webcam input component | |
webcam_input = gr.inputs.Image(source="webcam") | |
# Define the output component | |
label_output = gr.outputs.Label() | |
# Create the Gradio interface | |
iface = gr.Interface(fn=predict_sign_language, inputs=webcam_input, outputs=label_output) | |
# Launch the interface | |
iface.launch() |