Update app.py

app.py

@@ -22,17 +22,19 @@ The predictions follow a few rules:
 2) The predictions do not repeat themselves.
 3) The predictions focus on suggesting nouns, adjectives, and verbs.
 4) The predictions are related to the context in the transcript.
+5) The predictions are ordered from most likely to least likely.
+6) Five unique predictions are made per transcript.
     
 EXAMPLES:
 Transcript: Tomorrow night we're going out to 
 Prediction: The Movies, A Restaurant, A Baseball Game, The Theater, A Party for a friend   
 Transcript: I would like to order a cheeseburger with a side of
-Prediction: Frnech fries, Milkshake, Apple slices, Side salad, Extra katsup 
+Prediction: French fries, Milkshake, Apple slices, Side salad, Extra catsup 
 Transcript: My friend Savanah is
-Prediction: An elecrical engineer, A marine biologist, A classical musician 
+Prediction: An electrical engineer, A marine biologist, A classical musician, A developer, A product manager 
 Transcript: I need to buy a birthday
-Prediction: Present, Gift, Cake, Card
-Transcript: """
+Prediction: Present, Gift, Cake, Card, balloon
+Transcript:  """
 
 
 # whisper model specification