Update app.py

app.py

@@ -1,16 +0,0 @@
-import gradio as gr
-from gradio import CSVLogger
-from huggingface_hub import Repository as repo
-import os
-HF_TOKEN = os.getenv('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')#  #'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'
-hf_writer = gr.HuggingFaceDatasetSaver(HF_TOKEN, "tigo_question_answer")
-def question_answer(context, question):
-  predictions = model.predict([{"context": context, "qas": [{"question": question, "id": "0",}],}])
-  prediccion = predictions[0][0]['answer'][0]
-  return prediccion
-iface = gr.Interface(fn=question_answer, inputs=["text", "text"], outputs=["text"],
-                     allow_flagging="manual", #manual
-                     flagging_options=["correcto", "incorrecto"],
-                     flagging_dir='flagged',
-                     flagging_callback=hf_writer)
-iface.launch(enable_queue=True)