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import os |
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import matplotlib |
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matplotlib.use('Agg') |
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import streamlit as st |
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import tkinter as tk |
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from tkinter import scrolledtext |
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import requests |
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SECRET_TOKEN = os.getenv("SECRET_TOKEN") |
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API_URL = "/static-proxy?url=https%3A%2F%2Fapi-inference.huggingface.co%2Fmodels%2Fahmedrachid%2FFinancialBERT-Sentiment-Analysis%26quot%3B%3C%2Fspan%3E%3C!-- HTML_TAG_END --> |
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headers = {"Authorization": f"Bearer {SECRET_TOKEN}"} |
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def query(payload): |
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response = requests.post(API_URL, headers=headers, json=payload) |
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return response.json() |
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user_query = st.text_area("Enter your text:") |
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if st.button("Analyze Sentiment"): |
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output = query({"inputs": user_query}) |
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st.text("Sentiment Analysis Output:") |
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st.text(output[0]['label']) |
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