Update app.py

app.py

@@ -1,12 +1,12 @@
 import gradio as gr
 from transformers import pipeline
 
-pipe = pipeline("text-classification", model="qualitydatalab/autotrain-car-review-project-966432121")
+#pipe = pipeline("text-classification", model="qualitydatalab/autotrain-car-review-project-966432121")
 
 def predict(text):
     label2emoji = {"poor": "🙁", "ok": "😐", "great": "😊"}
-    preds = pipe(text)[0]
-    return label2emoji[preds["label"]], round(preds["score"], 5)
+    #preds = pipe(text)[0]
+    return label2emoji["poor"], round(1, 5)
   
 gradio_ui = gr.Interface(
     fn=predict,