Added back in demo definition

app.py

@@ -6,6 +6,13 @@ unmasker = pipeline("fill-mask", model="anferico/bert-for-patents")
 
 example = 'A crustless sandwich made from two slices of baked bread'
 
+# def add_mask(text, size=1):
+#     split_text = text.split()
+#     idx = np.random.randint(len(split_text), size=size)
+#     for i in idx:
+#         split_text[i] = '[MASK]'
+#     return ' '.join(split_text)
+
 # class TempScalePipe(Pipeline):
 #     def _forward(self, model_inputs):
 #         outputs = self.model(**model_inputs)
@@ -19,26 +26,22 @@ example = 'A crustless sandwich made from two slices of baked bread'
 #
 
 def unmask(text):
-    text = add_mask(text)
+    # text = add_mask(text)
     res = unmasker(text)
     out = {item["token_str"]: item["score"] for item in res}
     return out
 
 
+
 textbox = gr.Textbox(label="Type language here", lines=5)
-import gradio as gr
+# import gradio as gr
 from transformers import pipeline, Pipeline
 
 
 # unmasker = pipeline("fill-mask", model="anferico/bert-for-patents")
 #
 #
-# def add_mask(text, size=1):
-#     split_text = text.split()
-#     idx = np.random.randint(len(split_text), size=size)
-#     for i in idx:
-#         split_text[i] = '[MASK]'
-#     return ' '.join(split_text)
+
 #
 #
 # def unmask(text):
@@ -50,22 +53,11 @@ from transformers import pipeline, Pipeline
 #
 # textbox = gr.Textbox(label="Type language here", lines=5)
 #
-# demo = gr.Interface(
-#     fn=unmask,
-#     inputs=textbox,
-#     outputs="label",
-#     examples=[
-#
-#     ],
-# )
-
-demo.launch()
 demo = gr.Interface(
     fn=unmask,
     inputs=textbox,
     outputs="label",
-    examples=[
-    ],
+    examples=[example],
 )
 
-demo.launch()
+demo.launch()