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Update app.py
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app.py
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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🪶 Council Matters Classifier – PT (
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Simplified
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"""
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import gradio as gr
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@@ -127,11 +127,8 @@ class PortugueseClassifier:
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return predicted_labels
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# ---------------- Load Classifier ----------------
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classifier = PortugueseClassifier()
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-
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# ---------------- Gradio UI ----------------
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suggestions = [
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"A Câmara Municipal aprovou o novo orçamento para 2025, com foco em sustentabilidade.",
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"Foi decidido avançar com o projeto de requalificação do centro histórico.",
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@@ -145,115 +142,125 @@ suggestions = [
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"O plano estratégico inclui medidas para atrair investimento privado.",
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]
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#
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custom_css = """
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body {
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background-color: #
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font-family: 'Inter', sans-serif;
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color: #222;
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}
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.gradio-container { background-color: #
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h2, h3 { text-align: center; color: #
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textarea {
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background-color: #
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color: #
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border-radius:
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border: 1px solid #
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}
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button {
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background-color: #
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color:
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border-radius: 8px !important;
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border: none !important;
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font-weight: 600 !important;
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}
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button:hover { background-color: #
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.output-chip {
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background-color: #
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color: #
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padding: 5px 12px;
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border-radius: 8px;
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font-weight: 500;
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border: 1px solid #cde5ff;
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}
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.suggestion-box {
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background-color: #
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border-radius: 10px;
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border: 1px solid #
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padding: 10px;
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display: flex;
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align-items: center;
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justify-content: space-between;
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color: #
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margin-top:
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}
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.arrow-btn {
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background: none;
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border: none;
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color: #
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font-size:
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cursor: pointer;
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}
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.arrow-btn:hover { color: #
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"""
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custom_js = f"""
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let examples = {suggestions};
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let index = 0;
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function
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const el = document.getElementById('suggestion-text');
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el.style.opacity = 0;
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setTimeout(() => {{
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if (direction === 'next') index = (index + 1) % examples.length;
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else index = (index - 1 + examples.length) % examples.length;
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el.innerText = examples[index];
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document.getElementById('input-text').value = examples[index];
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el.style.opacity = 1;
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}},
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}}
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"""
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# --- Interface ---
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def classify_display(text):
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preds = classifier.predict(text)
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if not preds:
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return "<div style='color:#777;text-align:center'>No topics detected.</div>"
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chips = ""
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for p in preds[:10]:
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label = p["label"]
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prob = p["probability"]
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conf = p["confidence"]
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color = {"high": "#
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chips += f"<span class='output-chip' style='
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return f"<div style='display:flex;flex-wrap:wrap;gap:
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-
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with gr.Blocks(css=custom_css, js=custom_js, theme="gradio/soft") as demo:
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gr.Markdown("## 🏛️ **Council Matters Classifier – PT**")
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gr.Markdown("###
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input_text = gr.Textbox(
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label="",
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placeholder="Escreva aqui o texto...",
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lines=6,
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elem_id="input-text"
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)
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classify_btn = gr.Button("Classificar")
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output = gr.HTML(label="Tópicos previstos")
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classify_btn.click(fn=classify_display, inputs=input_text, outputs=output)
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gr.Markdown("### 💡 Sugestões")
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gr.HTML("""
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<div class='suggestion-box'>
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<button
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<span id='suggestion-text' style='flex:1;text-align:center;padding:0 10px;transition:opacity 0.3s'>
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A Câmara Municipal aprovou o novo orçamento para 2025, com foco em sustentabilidade.
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</span>
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<button
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</div>
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""")
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#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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🪶 Council Matters Classifier – PT (Optimized Dark Theme)
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Simplified dark interface with working suggestion carousel.
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"""
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import gradio as gr
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return predicted_labels
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classifier = PortugueseClassifier()
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suggestions = [
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"A Câmara Municipal aprovou o novo orçamento para 2025, com foco em sustentabilidade.",
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"Foi decidido avançar com o projeto de requalificação do centro histórico.",
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"O plano estratégico inclui medidas para atrair investimento privado.",
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]
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# ---------------- CSS ----------------
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custom_css = """
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body {
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background-color: #0c0c0c;
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color: #f1f1f1;
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font-family: 'Inter', sans-serif;
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}
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.gradio-container { background-color: #0c0c0c; color: #f1f1f1; }
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h2, h3 { text-align: center; color: #00b4ff; font-weight: 600; }
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textarea {
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background-color: #181818 !important;
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color: #fff !important;
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border-radius: 10px !important;
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border: 1px solid #333 !important;
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}
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button {
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background-color: #007aff !important;
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color: white !important;
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font-weight: 600 !important;
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border-radius: 8px !important;
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border: none !important;
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}
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button:hover { background-color: #00aaff !important; }
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.output-chip {
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background-color: #1a1a1a;
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color: #00c3ff;
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padding: 5px 12px;
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border-radius: 8px;
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border: 1px solid #007aff33;
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font-weight: 500;
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}
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.suggestion-box {
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background-color: #111;
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border-radius: 10px;
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border: 1px solid #222;
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padding: 10px;
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display: flex;
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align-items: center;
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justify-content: space-between;
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color: #aaa;
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margin-top: 25px;
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}
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.arrow-btn {
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background: none;
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border: none;
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color: #00c3ff;
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font-size: 22px;
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cursor: pointer;
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}
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.arrow-btn:hover { color: #00e0ff; transform: scale(1.15); }
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"""
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# ---------------- JS ----------------
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custom_js = f"""
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let examples = {suggestions};
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let index = 0;
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function updateSuggestionText() {{
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const el = document.getElementById('suggestion-text');
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if (!el) return;
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el.style.opacity = 0;
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setTimeout(() => {{
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el.innerText = examples[index];
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document.getElementById('input-text').value = examples[index];
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el.style.opacity = 1;
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}}, 150);
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}}
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window.addEventListener('DOMContentLoaded', () => {{
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const prev = document.getElementById('prev-btn');
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const next = document.getElementById('next-btn');
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if (prev && next) {{
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prev.addEventListener('click', () => {{
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index = (index - 1 + examples.length) % examples.length;
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updateSuggestionText();
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}});
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next.addEventListener('click', () => {{
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index = (index + 1) % examples.length;
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updateSuggestionText();
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}});
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}}
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}});
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"""
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def classify_display(text):
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preds = classifier.predict(text)
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if not preds:
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return "<div style='color:#777;text-align:center'>No topics detected.</div>"
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chips = ""
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for p in preds[:10]:
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label = p["label"]
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prob = p["probability"]
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conf = p["confidence"]
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color = {"high": "#00ff88", "medium": "#ffd966", "low": "#ff6666"}[conf]
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chips += f"<span class='output-chip' style='color:{color}'>{label} ({prob:.0%})</span>"
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return f"<div style='display:flex;flex-wrap:wrap;gap:10px;justify-content:center;margin-top:10px'>{chips}</div>"
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with gr.Blocks(css=custom_css, js=custom_js, theme="gradio/soft") as demo:
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gr.Markdown("## 🏛️ **Council Matters Classifier – PT**")
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gr.Markdown("### Insira texto administrativo em português:")
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input_text = gr.Textbox(
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label="",
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placeholder="Escreva aqui o texto em português...",
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lines=6,
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elem_id="input-text"
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)
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classify_btn = gr.Button("Classificar")
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output = gr.HTML(label="Tópicos previstos")
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classify_btn.click(fn=classify_display, inputs=input_text, outputs=output)
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gr.Markdown("### 💡 Sugestões")
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gr.HTML("""
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<div class='suggestion-box'>
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<button id='prev-btn' class='arrow-btn'>⟨</button>
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<span id='suggestion-text' style='flex:1;text-align:center;padding:0 10px;transition:opacity 0.3s'>
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A Câmara Municipal aprovou o novo orçamento para 2025, com foco em sustentabilidade.
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</span>
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<button id='next-btn' class='arrow-btn'>⟩</button>
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</div>
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""")
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