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Browse files- app.py +64 -0
- requirements.txt +85 -0
app.py
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# Building a Question and Answering Application using HuggingFace models
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# And the Streamlit library
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# Imports
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import torch
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import wikipedia
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import transformers
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import streamlit as st
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from transformers import pipeline, Pipeline
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# Helper Functions
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# Loads Summary of Topic From WikiPedia
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def load_wiki_summary(query:str) -> str:
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results = wikipedia.search(query)
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summary = wikipedia.summary(results[0], sentences=10)
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return summary
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# Load Question and Answering Bert Pipeline
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def load_qa_pipeline() -> Pipeline:
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qa_pipeline = pipeline("question-answering", model="distilbert-base-uncased-distilled-squad")
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return qa_pipeline
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# Answer the question given the pipeline input
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def answer_question(pipeline:Pipeline, question:str, paragraph:str) -> dict:
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input = {
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"question":question,
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"context":paragraph
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}
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output = pipeline(input)
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return output
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# Main app
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if __name__ == "__main__":
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# Display title and description
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st.title("Wikipedia Question Answering")
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st.write("Search a topic, Ask a Questions, and Get Answers!!")
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# Display Topic input slot
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topic = st.text_input("SEARCH TOPIC", "")
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# Display article paragraph
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article_paragraph = st.empty()
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# Display questino input slot
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question = st.text_input("QUESTON", "")
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if topic:
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# load wikipedia summary of topic
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summary = load_wiki_summary(topic)
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# Display
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article_paragraph.markdown(summary)
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# Perform Question Answering
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if question != "":
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# Load Question Answering Pipeline
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qa_pipeline = load_qa_pipeline()
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# Answer Query Question using article Summary
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result = answer_question(qa_pipeline, question, summary)
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answer = result["answer"]
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# display answer
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st.write(answer)
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requirements.txt
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aiohttp==3.8.4
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aiosignal==1.3.1
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altair==5.0.1
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async-timeout==4.0.2
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attrs==23.1.0
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beautifulsoup4==4.12.2
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blinker==1.6.2
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cachetools==5.3.1
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certifi==2023.5.7
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charset-normalizer==3.1.0
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click==8.1.3
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dataclasses-json==0.5.7
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decorator==5.1.1
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filelock==3.12.2
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Flask==2.3.2
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frozenlist==1.3.3
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fsspec==2023.5.0
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gitdb==4.0.10
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GitPython==3.1.31
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gunicorn==20.1.0
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huggingface-hub==0.15.1
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idna==3.4
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importlib-metadata==6.7.0
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itsdangerous==2.1.2
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Jinja2==3.1.2
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jsonschema==4.17.3
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langchain==0.0.181
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llama-index==0.6.12
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markdown-it-py==3.0.0
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MarkupSafe==2.1.2
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marshmallow==3.19.0
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marshmallow-enum==1.5.1
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mdurl==0.1.2
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mpmath==1.3.0
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multidict==6.0.4
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mypy-extensions==1.0.0
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networkx==3.1
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numexpr==2.8.4
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numpy==1.24.3
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openai==0.27.7
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openapi-schema-pydantic==1.2.4
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packaging==23.1
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pandas==2.0.1
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Pillow==9.5.0
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protobuf==4.23.3
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pyarrow==12.0.1
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pydantic==1.10.8
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pydeck==0.8.1b0
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Pygments==2.15.1
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Pympler==1.0.1
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pypdf==3.9.0
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pyrsistent==0.19.3
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python-dateutil==2.8.2
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pytz==2023.3
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pytz-deprecation-shim==0.1.0.post0
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PyYAML==6.0
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regex==2023.5.5
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requests==2.31.0
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rich==13.4.2
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safetensors==0.3.1
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six==1.16.0
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smmap==5.0.0
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soupsieve==2.4.1
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SQLAlchemy==2.0.15
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streamlit==1.23.1
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sympy==1.12
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tenacity==8.2.2
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tiktoken==0.4.0
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tokenizers==0.13.3
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toml==0.10.2
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toolz==0.12.0
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torch==2.0.1
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tornado==6.3.2
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tqdm==4.65.0
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transformers==4.30.2
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typing-inspect==0.8.0
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typing_extensions==4.5.0
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tzdata==2023.3
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tzlocal==4.3
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urllib3==1.26.16
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validators==0.20.0
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Werkzeug==2.3.4
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wikipedia==1.4.0
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yarl==1.9.2
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zipp==3.15.0
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