Create app.py

app.py

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+import gradio as gr
+
+# Even though it is not imported, it is actually required, it downloads some stuff.
+import allennlp_models  # noqa: F401
+from allennlp.predictors.predictor import Predictor
+
+# The integration with AllenNLP uses a hf prefix.
+predictor = Predictor.from_path("hf://lysandre/bidaf-elmo-model-2020.03.19)
+
+def predict(context, question):
+  allenlp_input = {"passage": context, "question": question}
+  predictions = predictor.predict_json(allenlp_input)
+  return predictions["best_span_str"]
+  
+title = "Interactive demo: AllenNLP Bidaf Elmo"
+description = "Demo for AllenNLP Question Answering model."
+
+iface = gr.Interface(fn=predict, 
+  inputs=[gr.inputs.TextBox(label="context"), gr.inputs.TextBox(label="question")],
+  outputs='text',
+  title=title,
+  description=description,
+  enable_queue=True)
+
+iface.launch()