Update app.py

app.py

@@ -27,7 +27,10 @@ def text_classification(text, typology, confidence):
     image_output = gr.Image(value=image_url)
     return formatted_output, image_output
 
-examples=["sparganium erectum, calystegia sepium, persicaria amphibia", "thinopyrum junceum, cakile maritima"]
+examples=[
+    ["sparganium erectum, calystegia sepium, persicaria amphibia", "EUNIS", 50],
+    ["thinopyrum junceum, cakile maritima", "EUNIS", 50]
+]
 
 io = gr.Interface(fn=text_classification, 
                          inputs=[gr.Textbox(lines=2, label="List of comma-separated binomial names of species (see examples)", placeholder="Enter species here..."), gr.Dropdown(["EUNIS"], label="Typology", info="Will add more typologies later!"), gr.Slider(0, 100, value=50, label="Confidence", info="Choose the level of confidence for the prediction")],