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Update src/streamlit_app.py
Browse files- src/streamlit_app.py +7 -4
src/streamlit_app.py
CHANGED
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@@ -44,14 +44,14 @@ st.altair_chart(alt.Chart(df, height=700, width=700)
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'''
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-
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import streamlit as st
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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import torch.nn.functional as F
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import os
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st.set_page_config(page_title="FinBERT Sentiment", layout="centered")
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st.title("💰 FinBERT: Financial Sentiment Analysis")
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st.markdown("Модель: `yiyanghkust/finbert-tone` — обучена на финансовых текстах")
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@@ -79,9 +79,9 @@ if st.button("Анализировать тональность") and text.strip
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for label, prob in zip(labels, probs):
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st.write(f"**{label}:** {prob.item():.3f}")
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'''
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import streamlit as st
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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@@ -441,4 +441,7 @@ st.markdown("""
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<p>💡 <strong>Tip:</strong> For best results, use complete sentences and financial context</p>
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<p>Built with Streamlit • Powered by FinBERT</p>
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</div>
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""", unsafe_allow_html=True)
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'''
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+
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import streamlit as st
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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import torch.nn.functional as F
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import os
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st.set_page_config(page_title="💰 FinBERT: Financial Sentiment Analysis", layout="centered")
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st.title("💰 FinBERT: Financial Sentiment Analysis")
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st.markdown("Модель: `yiyanghkust/finbert-tone` — обучена на финансовых текстах")
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for label, prob in zip(labels, probs):
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st.write(f"**{label}:** {prob.item():.3f}")
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'''
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import streamlit as st
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from transformers import AutoTokenizer, AutoModelForSequenceClassification
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import torch
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<p>💡 <strong>Tip:</strong> For best results, use complete sentences and financial context</p>
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<p>Built with Streamlit • Powered by FinBERT</p>
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</div>
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""", unsafe_allow_html=True)
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+
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'''
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