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import gradio as gr
import numpy as np
import tensorflow as tf
# Assuming your model is loaded here
model = tf.keras.models.load_model("pain_analysis.h5")
def predict(image):
image = np.array(image) / 255.0 # Normalize the image
# Make predictions using your model here
# result = model.predict(image)
return result
# Change this line to use gr.Image directly
iface = gr.Interface(
fn=predict,
inputs=gr.Image(type="numpy"), # Use gr.Image directly
outputs="label" # Specify the output type as needed
)
iface.launch()
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