micole66 commited on
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1 Parent(s): e132ce6

Create app.py

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  1. app.py +29 -0
app.py ADDED
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+ # -*- coding: utf-8 -*-
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+
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+ # Importing Dependancies
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+
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ """# Loading Model Name"""
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+
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+ model_name = "deepset/roberta-base-squad2"
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+
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+ """# Get Predictions
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+ """
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+
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+ nlu = pipeline('question-answering', model=model_name, tokenizer=model_name)
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+
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+ def func(context, question):
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+ input = {
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+ 'question':question,
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+ 'context':context
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+ }
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+ res = nlu(input)
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+ return res["answer", "score"]
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+
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+ descr = "This is a question and Answer Web app, you give it a context and ask it questions based on the context provided"
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+
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+ app = gr.Interface(fn=func, inputs=[gr.inputs.Textbox(lines=3, placeholder="put in your context here..."),"text"], outputs="text", title="Question Answer App", description=descr)
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+
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+ app.launch()