update app

app.py

@@ -8,7 +8,7 @@ from transformers import AutoTokenizer, AutoModelForTokenClassification
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 from json import JSONEncoder
 from faker import Faker
-
+from keras.utils import pad_sequences
 class out_json():
     def __init__(self, w,l):
         self.word = w
@@ -339,10 +339,12 @@ def procesar(texto,archivo):
             
             df_new[item] = modelo.unir(out)
         plotting_df=gr.Dataframe(value=df_new,headers=["nombre","trabajo"],label="label:",type="pandas", visible=True, interactive=False)
+       
         print(df_new)
         return plotting_df
 
 demo = gr.Interface(fn=procesar,inputs=["text",gr.File()] , outputs="text")
+       #gr.Interface(fn=scraper_obj.scrape, inputs='text', outputs=gr.Dataframe(headers=['title', 'author', 'text']), allow_flagging='never').launch()  
 demo.launch(share=True)
 
 #plotting_df=gr.Dataframe(value=df2,headers="class","type","group","ε54Cr","ε50Ti","ε94Mo"],