Update app.py

app.py

@@ -22,11 +22,8 @@ client = ChatCompletionsClient(
 )
 
 # Define the function to handle the image and get predictions
-def analyze_leaf_disease(image):
+def analyze_leaf_disease(image_path):
     try:
-        # Convert the uploaded image to a compatible format (e.g., save it locally)
-        image.save("uploaded_image.jpg")
-
         # Prepare and send the request to the Azure API
         response = client.complete(
             messages=[
@@ -38,7 +35,7 @@ def analyze_leaf_disease(image):
                         TextContentItem(text="What's the leaf disease in this image?"),
                         ImageContentItem(
                             image_url=ImageUrl.load(
-                                image_file="uploaded_image.jpg",
+                                image_file=image_path,
                                 image_format="jpg",
                                 detail=ImageDetailLevel.LOW,
                             )
@@ -58,7 +55,7 @@ def analyze_leaf_disease(image):
 # Define the Gradio interface
 interface = gr.Interface(
     fn=analyze_leaf_disease,
-    inputs=gr.Image(type="file", label="Upload an Image of a Leaf"),
+    inputs=gr.Image(type="filepath", label="Upload an Image of a Leaf"),
     outputs="text",
     title="Leaf Disease Detector",
     description="Upload an image of a leaf, and this tool will identify the disease affecting it.",