Update app.py

app.py

@@ -185,11 +185,11 @@ iface = gr.Interface(
         gr.Textbox(label="GPT-2 Finetuned Model Output")
     ],
     examples=[
-        ["no run, short ball, turning away"],
-        ["jumps down the track and"],
-        ["another leg bye call. On the pads"],
-        ["That stays low, turns in, hits the pads"],
-        ["goes flat, goes big"]
+        ["no run, short ball, turning away", 50, 50, 0.7],
+        ["jumps down the track and", 50, 50, 0.7],
+        ["another leg bye call. On the pads", 50, 50, 0.7],
+        ["That stays low, turns in, hits the pads", 50, 50, 0.7],
+        ["goes flat, goes big", 50, 50, 0.7]
     ],
     title="Next word prediction with RNN, LSTM and GPT-2 Models",
     description="Start writing a cricket commentary and various models will try to continue it. Compare outputs from LSTM, RNN, and GPT-2 (base & finetuned) models. The RNN & LSTM models both have a single hidden layer trained for 50 epochs, the GPT-2 has been trained for 3 epochs. All models have been trained on 1000 rows of cricket commentary text (~80k word tokens)"