Changed examples

app.py

@@ -4,7 +4,7 @@ from transformers import pipeline
 pipe = pipeline("text-classification", model="qualitydatalab/autotrain-car-review-project-966432120")
 
 def predict(text):
-    label2emoji = {"poor": "☹️", "ok": "😐", "great": "😊"}
+    label2emoji = {"poor": "🙁", "ok": "😐", "great": "😊"}
     preds = pipe(text)[0]
     return label2emoji[preds["label"]], round(preds["score"], 5)
   
@@ -20,7 +20,8 @@ gradio_ui = gr.Interface(
         gr.outputs.Textbox(label="Score"),
     ],
     examples=[
-        ["I love these running shoes!"], ["Ich hasse dieses Buch"],
+        [" Bought this Clio for my daughter 2 years ago.  It was very well cared for with 95,000 miles.  New brakes, tires, and all scheduled maintenance was done.  We have had no problems (ex a torn axle boot) in 2 years and 22,000 miles. "], 
+        ["I bought a brand new Scenic for my daily driver last year, and this is my biggest mistake! I should of do more researches before buying it. This car is the MOST POS ever. My suspension was bad after a couple thousand miles, the car made huge noise when the car is rolling."],
     ],
 )