Update app.py

app.py

@@ -20,7 +20,6 @@ def predict_biome(uploaded_file):
 
         # Identify the most confident prediction
         confidences = {labels[i]: np.round(float(prediction[0][i]), 2) for i in range(len(labels))}
-
         return img, confidences
 
 # Define the Gradio interface
@@ -29,7 +28,7 @@ iface = gr.Interface(
     inputs=gr.File(label="Upload File"),  # File upload widget
     outputs=["image", "text"],  # Output types for image and text
     title="Minecraft Biomes Classifier",  # Title of the interface
-    description="Upload a picture of a Fruit (preferably a Birch Forest, Cave, Cherry Grove, Dark Forest, Deep Dark, Desert, End, Forest, Jungle, Mushroom Fields, Nether, Ocean, Plains, Savanna, Swamp or Taiga) to see what fruit it is and the models confidence level."  # Description of the interface
+    description="Upload a picture of a Fruit (preferably a Birch Forest, Cave, Cherry Grove, Dark Forest, Deep Dark, Desert, End, Forest, Jungle, Mushroom Fields, Nether, Ocean, Plains, Savanna, Swamp or Taiga) to see what Biome it is and the models confidence level."  # Description of the interface
 )
 
 # Launch the interface