Update app.py

app.py

@@ -1,4 +1,6 @@
 import gradio as gr
+from gradio.mix import Series
+
 import pickle
 import pandas as pd
 
@@ -21,12 +23,22 @@ def test_input(words):
         else:
             word_dict[w] = "out-of-distribution"
     return word_dict
+
+
+interface_words = gr.Interface.load(
+            fn=test_input,
+            inputs=gr.Textbox(value=[car, red, vehicle]),
+            outputs="label",
+            interpretation="default"
+)
+
     
 description = "Did you know that, logically speaking, a small cat is not a small animal, and that a fake smile is not a smile. \n Learn more testing our BERT model is tuned to perform phrase-level adjective-noun entailment, via the [PLANE](https://aclanthology.org/2022.coling-1.359/) dataset. \n The current model achieves an accuracy of 90% on out-of-distribution evaluation"
 title = "BERT on a PLANE"
 examples = [["A red car is a vehicle"], ["A fake smile is a smile"], ["A small cat is a small animal"]]
 
-interface_model = gr.Interface.load("huggingface/lorenzoscottb/bert-base-cased-PLANE-ood-2",
+interface_model = gr.Interface.load(
+            "huggingface/lorenzoscottb/bert-base-cased-PLANE-ood-2",
             description=description,
             examples=examples,
             title=title,
@@ -36,5 +48,6 @@ interface_model = gr.Interface.load("huggingface/lorenzoscottb/bert-base-cased-P
 
 
 Series(
-    interface_model  
+    interface_words,
+    interface_model,  
 ).launch()