Mert
commited on
Commit
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05e47c6
1
Parent(s):
fdc21ba
Add application file
Browse files- app.py +30 -0
- requirements.txt +3 -0
app.py
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import streamlit as st
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from transformers import pipeline
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pipe = pipeline("question-answering", model="incidelen/bert-base-turkish-cased-qa")
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st.title("Turkish Question-Answering 🇹🇷")
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st.markdown("""
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**This application is designed to find answers to questions based on Turkish texts.**
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Please enter the context and type your question, then click 'Get Answer' to find the answer.
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""")
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st.markdown("---")
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context = st.text_area("Context:", height=200, placeholder="Paste your text here...")
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question = st.text_input("Question:", placeholder="Type your question here...")
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st.markdown("## 🔍 Find the Answer")
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st.write("")
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if st.button("Get Answer"):
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if context and question:
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result = pipe(question=question, context=context)
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answer = result['answer']
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st.markdown(f"### **Answer:**")
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st.success(answer)
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else:
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st.warning("Please fill in both the context and question fields.")
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st.markdown("---")
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st.markdown("This application uses the [`incidelen/bert-base-turkish-cased-qa`](https://huggingface.co/incidelen/bert-base-turkish-cased-qa) question-answering model.")
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requirements.txt
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streamlit
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torch
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transformers
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