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import gradio as gr |
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from transformers import pipeline |
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qa_model = pipeline("question-answering", "timpal0l/mdeberta-v3-base-squad2") |
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description=""" |
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A resume question-answering interface where a recruter can ask the user about their achievements and skills without the need to interact with them directly or the need to read a really long resume |
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**LIMITATIONS:** the bot can only extract specific information and does not take into account multiple sentences at once. |
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""" |
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examples = ["what's your name?", "what's your email adress ?", "what did you study ?","are you open for work?","what are your skills ?","what's your most recent experience ?"] |
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with open("context.txt","r") as f: |
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context = f.read() |
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def chat(question,history): |
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"""chat with the QA pipeline""" |
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return qa_model(question = question, context = context)["answer"].strip() |
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demo = gr.ChatInterface(fn=chat, examples=examples, title="Resume QA",description=description) |
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demo.launch() |
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