Update README.md

README.md

@@ -3,6 +3,44 @@ library_name: transformers
 tags: []
 ---
 
+## Model Usage
+import gradio as gr
+from transformers import pipeline
+from PIL import Image
+import numpy as np
+
+### Define function to perform inference
+def predict_image(image):
+    # Initialize the pipeline outside the function if possible for efficiency
+    pipe = pipeline("image-classification", model="itsTomLie/Jaundice_Classifier")
+
+    # Convert NumPy array to PIL Image if necessary
+    if isinstance(image, np.ndarray):
+        image = Image.fromarray(image.astype('uint8'))
+    elif isinstance(image, str):  # If image is a file path
+        image = Image.open(image)
+
+    # Perform prediction
+    result = pipe(image)
+
+    # Extract label and confidence
+    label = result[0]['label']
+    confidence = result[0]['score']
+
+    print(f"Prediction: {label}, Confidence: {confidence}")
+
+    return label, confidence
+
+### Create Gradio interface
+interface = gr.Interface(
+    fn=predict_image,
+    inputs=gr.Image(type="numpy", label="Upload an Image"),
+    outputs=[gr.Textbox(label="Prediction"), gr.Textbox(label="Confidence")]
+)
+
+interface.launch(debug=True)
+
+
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->