harshildarji
commited on
Commit
•
6c9518c
1
Parent(s):
2fe4407
add app
Browse files- README.md +2 -2
- app.py +70 -0
- requirements.txt +2 -0
README.md
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---
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-
title: RE Demo
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emoji: 🐢
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colorFrom: red
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colorTo: yellow
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@@ -10,4 +10,4 @@ pinned: false
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license: mit
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---
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-
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---
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title: CAROLL RE Demo
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emoji: 🐢
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colorFrom: red
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colorTo: yellow
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license: mit
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---
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Model available at https://huggingface.co/harshildarji/privacy-policy-relation-extraction.
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app.py
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import streamlit as st
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from transformers import pipeline
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@st.cache_data
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def get_results(text):
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pipe = pipeline(
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"text-classification",
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model="harshildarji/privacy-policy-relation-extraction",
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return_all_scores=True,
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framework="pt",
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)
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return pipe(text)
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st.title("Privacy Policy Relation Extraction")
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example = st.text_area(
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"Enter text:",
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value="We store your basic account information, including your name, username, and email address until you ask us to delete them.",
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height=150,
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)
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if st.button("Analyze"):
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with st.spinner("Processing..."):
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results = get_results(example)
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st.session_state.results = results
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if "results" in st.session_state:
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threshold = st.slider(
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"Confidence threshold:", min_value=0.0, max_value=1.0, value=0.5
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)
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filtered_results = [
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result for result in st.session_state.results[0] if result["score"] >= threshold
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]
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sorted_results = sorted(filtered_results, key=lambda x: x["score"], reverse=True)
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if sorted_results:
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for result in sorted_results:
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cols = st.columns([3, 5, 0.5])
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with cols[0]:
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st.write(f"**{result['label']}**")
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with cols[1]:
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st.progress(int(result["score"] * 100))
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with cols[2]:
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st.write(f"**{result['score']:.2f}**")
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else:
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st.warning("No relations found with the specified threshold.")
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st.markdown(
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"""
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<style>
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.reportview-container {
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background: #f0f2f6;
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padding: 20px;
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}
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.stButton button {
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border: 0.5;
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transition: background-color 0.3s, transform 0.2s;
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border-radius: 10px;
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box-shadow: 0 1px 3px rgba(0, 0, 0, 0.08);
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}
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.stButton button:hover {
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transform: translateY(-1px);
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}
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</style>
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""",
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unsafe_allow_html=True,
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)
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requirements.txt
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transformers
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torch
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