Update app.py

app.py

@@ -1,24 +1,13 @@
 import gradio as gr
 from huggingface_hub import InferenceAPI
 
-# Specify the model name
-model_repo = "jdelgado2002/diabetic_retinopathy_detection"
-
-# Initialize the InferenceAPI client
-api = InferenceAPI(model_repo)
-
-labels = ["No DR", "Mild", "Moderate", "Severe", "Proliferative DR"]
+learn = load_learner('model.pkl')
+labels = learn.dls.vocab
 
 def predict(img):
-    # Convert the image to a base64 string
-    img_str = gr.inputs.Image.to_base64(img, ext="jpeg")
-    
-    # Perform inference
-    inputs = {"inputs": img_str}
-    result = api(inputs)
-    
-    # Convert the result to the expected format
-    return {labels[i]: float(result[i]) for i in range(len(labels))}
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Proliferative Retinopathy Detection"
 description = """Detects severity of diabetic retinopathy -