Create app.py

app.py

@@ -0,0 +1,470 @@
+# app.py — Sentiment Analysis with Copy & Export (CSV/XLSX)
+
+import gradio as gr
+from transformers import pipeline
+import re
+from functools import lru_cache
+import logging
+from typing import List, Dict, Tuple
+import json
+import os
+import tempfile
+
+# ===== NEW: pandas สำหรับ export CSV/XLSX =====
+try:
+    import pandas as pd
+except Exception:
+    pd = None
+
+# ===== Logging =====
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# ===== Model list =====
+MODEL_LIST = [
+    ("ZombitX64/MultiSent-E5-Pro", "🏆 MultiSent E5 Pro - แนะนำ (ความแม่นยำสูงสุด)"),
+    ("ZombitX64/Thai-sentiment-e5", "🎯 Thai Sentiment E5 - เฉพาะภาษาไทย"),
+    ("poom-sci/WangchanBERTa-finetuned-sentiment", "🔥 WangchanBERTa - โมเดลไทยยอดนิยม"),
+    ("SandboxBhh/sentiment-thai-text-model", "✨ Sandbox Thai - เร็วและแม่นยำ"),
+    ("ZombitX64/MultiSent-E5", "⚡ MultiSent E5 - รวดเร็ว"),
+    ("Thaweewat/wangchanberta-hyperopt-sentiment-01", "🧠 WangchanBERTa Hyperopt"),
+    ("cardiffnlp/twitter-xlm-roberta-base-sentiment", "🌐 XLM-RoBERTa - หลายภาษา"),
+    ("phoner45/wangchan-sentiment-thai-text-model", "📱 Wangchan Mobile"),
+    ("ZombitX64/Sentiment-01", "🔬 Sentiment v1"),
+    ("ZombitX64/Sentiment-02", "🔬 Sentiment v2"),
+    ("ZombitX64/Sentiment-03", "🔬 Sentiment v3"),
+    ("ZombitX64/sentiment-103", "🔬 Sentiment 103"),
+    ("ZombitX64/sentimentSumdata-v1", "🔬 sentimentSumdata-v1"),
+    ("ZombitX64/wangchanberta-att-spm-uncased-sentiment", "wangchanberta-att-spm-uncased-sentiment"),
+]
+
+# ===== Cache model loading =====
+@lru_cache(maxsize=3)
+def get_nlp(model_name: str):
+    try:
+        return pipeline("sentiment-analysis", model=model_name)
+    except Exception as e:
+        logger.error(f"Error loading model {model_name}: {e}")
+        raise gr.Error(f"ไม่สามารถโหลดโมเดล {model_name} ได้: {str(e)}")
+
+# ===== Label mappings =====
+MODEL_LABEL_MAPPINGS = {
+    "ZombitX64/wangchanberta-att-spm-uncased-sentiment": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/MultiSent-E5-Pro": {
+        "LABEL_0": {"code": 0, "name": "question", "emoji": "🤔", "color": "#60a5fa", "bg": "rgba(96,165,250,.2)", "description": "คำถาม"},
+        "LABEL_1": {"code": 1, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_2": {"code": 2, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_3": {"code": 3, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/Thai-sentiment-e5": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "poom-sci/WangchanBERTa-finetuned-sentiment": {
+        "neg": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "neu": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "pos": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "SandboxBhh/sentiment-thai-text-model": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/MultiSent-E5": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "Thaweewat/wangchanberta-hyperopt-sentiment-01": {
+        "neg": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "neu": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "pos": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "cardiffnlp/twitter-xlm-roberta-base-sentiment": {
+        "NEGATIVE": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "NEUTRAL":  {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "POSITIVE": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "phoner45/wangchan-sentiment-thai-text-model": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/Sentiment-01": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/Sentiment-02": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/Sentiment-03": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/sentiment-103": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+    "ZombitX64/sentimentSumdata-v1": {
+        "LABEL_0": {"code": 0, "name": "negative", "emoji": "😢", "color": "#f87171", "bg": "rgba(248,113,113,.2)", "description": "เชิงลบ"},
+        "LABEL_1": {"code": 1, "name": "neutral",  "emoji": "😐", "color": "#facc15", "bg": "rgba(250,204,21,.2)", "description": "เป็นกลาง"},
+        "LABEL_2": {"code": 2, "name": "positive", "emoji": "😊", "color": "#34d399", "bg": "rgba(52,211,153,.2)", "description": "เชิงบวก"},
+    },
+}
+
+def get_label_info(label: str, model_name: str) -> Dict:
+    model_mappings = MODEL_LABEL_MAPPINGS.get(model_name, {})
+    if label in model_mappings:
+        return model_mappings[label]
+    return {
+        "code": -1, "name": label.lower(), "emoji": "🔍",
+        "color": "#64748b", "bg": "rgba(100,116,139,.2)",
+        "description": f"ไม่ทราบ ({label})"
+    }
+
+# ===== Helpers =====
+def split_sentences(text: str) -> List[str]:
+    sentences = re.split(r'[.!?।\n]+', text)
+    sentences = [s.strip() for s in sentences if s.strip() and len(s.strip()) > 2]
+    return sentences
+
+def create_confidence_bar(score: float) -> str:
+    percentage = int(score * 100)
+    return f"""
+    <div style="display:flex;align-items:center;gap:10px;margin:8px 0;">
+      <div style="flex:1;height:8px;background:#334155;border-radius:4px;overflow:hidden;">
+        <div style="width:{percentage}%;height:100%;background:linear-gradient(90deg,#60a5fa,#3b82f6);"></div>
+      </div>
+      <span style="font-weight:600;color:#cbd5e1;min-width:50px;">{percentage}%</span>
+    </div>
+    """
+
+# ===== Main analyzer (HTML) — ใช้ของเดิมได้เลย =====
+def analyze_text(text: str, model_name: str) -> str:
+    if not text or not text.strip():
+        return """
+        <div style="padding:20px;background:rgba(248,113,113,.2);border-radius:12px;border-left:4px solid #f87171;">
+          <div style="color:#f87171;font-weight:600;display:flex;align-items:center;gap:8px;">
+            <span style="font-size:20px;">⚠️</span> กรุณาใส่ข้อความที่ต้องการวิเคราะห์
+          </div>
+        </div>
+        """
+    sentences = split_sentences(text)
+    if not sentences:
+        return """
+        <div style="padding:20px;background:rgba(248,113,113,.2);border-radius:12px;border-left:4px solid #f87171;">
+          <div style="color:#f87171;font-weight:600;display:flex;align-items:center;gap:8px;">
+            <span style="font-size:20px;">⚠️</span> ไม่พบประโยคที่สามารถวิเคราะห์ได้ กรุณาใส่ข้อความที่ยาวกว่านี้
+          </div>
+        </div>
+        """
+    try:
+        nlp = get_nlp(model_name)
+    except Exception as e:
+        return f"""
+        <div style="padding:20px;background:rgba(248,113,113,.2);border-radius:12px;border-left:4px solid #f87171;">
+          <div style="color:#f87171;font-weight:600;display:flex;align-items:center;gap:8px;">
+            <span style="font-size:20px;">❌</span> เกิดข้อผิดพลาดในการโหลดโมเดล: {str(e)}
+          </div>
+        </div>
+        """
+
+    html_parts = [f"""
+    <div style="background:linear-gradient(135deg,#1e3a8a 0%,#3b82f6 100%);color:#f8fafc;padding:24px;border-radius:16px 16px 0 0;margin-bottom:0;">
+      <h2 style="margin:0;font-size:24px;font-weight:700;display:flex;align-items:center;gap:12px;">
+        <span style="font-size:28px;">🧠</span> ผลการวิเคราะห์ความรู้สึก
+      </h2>
+      <p style="margin:8px 0 0 0;opacity:.9;font-size:14px;">โมเดล: {model_name.split('/')[-1]}</p>
+    </div>
+    """]
+
+    sentiment_counts = {"positive": 0, "negative": 0, "neutral": 0, "question": 0, "other": 0}
+    total_confidence = 0
+    sentence_results = []
+
+    for i, sentence in enumerate(sentences, 1):
+        try:
+            result = nlp(sentence)[0]
+            label = result['label']; score = float(result['score'])
+            label_info = get_label_info(label, model_name)
+            label_name = label_info["name"]
+            if label_name in sentiment_counts:
+                sentiment_counts[label_name] += 1
+            else:
+                sentiment_counts["other"] += 1
+            total_confidence += score
+            sentence_results.append({
+                'sentence': sentence, 'label_info': label_info, 'score': score,
+                'index': i, 'original_label': label
+            })
+        except Exception as e:
+            logger.error(f"Error analyzing sentence {i}: {e}")
+            sentence_results.append({'sentence': sentence, 'error': str(e), 'index': i})
+
+    html_parts.append("""<div style="background:#0f172a;padding:0;border-radius:0 0 16px 16px;box-shadow:0 4px 20px rgba(0,0,0,.3);overflow:hidden;">""")
+
+    for r in sentence_results:
+        if 'error' in r:
+            html_parts.append(f"""
+            <div style="padding:20px;border-bottom:1px solid #1e293b;">
+              <div style="color:#f87171;font-weight:600;display:flex;align-items:center;gap:8px;">
+                <span style="font-size:18px;">❌</span> เกิดข้อผิดพลาดในการวิเคราะห์ประโยคที่ {r['index']}
+              </div>
+              <p style="color:#94a3b8;margin:8px 0 0 0;font-size:14px;">{r['error']}</p>
+            </div>
+            """)
+        else:
+            li = r['label_info']; conf = create_confidence_bar(r['score'])
+            html_parts.append(f"""
+            <div style="padding:20px;border-bottom:1px solid #1e293b;transition:.2s;" onmouseover="this.style.background='#1e293b'" onmouseout="this.style.background='#0f172a'">
+              <div style="display:flex;align-items:flex-start;gap:16px;">
+                <div style="background:{li['bg']};padding:12px;border-radius:50%;min-width:48px;height:48px;display:flex;align-items:center;justify-content:center;">
+                  <span style="font-size:20px;">{li['emoji']}</span>
+                </div>
+                <div style="flex:1;">
+                  <div style="display:flex;align-items:center;gap:8px;margin-bottom:8px;">
+                    <span style="background:{li['color']};color:#f8fafc;padding:4px 12px;border-radius:20px;font-size:12px;font-weight:600;text-transform:uppercase;">{li['description']}</span>
+                    <span style="color:#94a3b8;font-size:12px;background:#1e293b;padding:2px 8px;border-radius:12px;">{r['original_label']}</span>
+                    <span style="color:#94a3b8;font-size:14px;">ประโยคที่ {r['index']}</span>
+                  </div>
+                  <p style="color:#f8fafc;margin:0 0 12px 0;font-size:16px;line-height:1.5;">"{r['sentence'][:150]}{'...' if len(r['sentence'])>150 else ''}"</p>
+                  <div style="color:#94a3b8;font-size:14px;margin-bottom:8px;">ความมั่นใจ:</div>
+                  {conf}
+                </div>
+              </div>
+            </div>
+            """)
+
+    total_sentences = len(sentences)
+    avg_conf = total_confidence / total_sentences if total_sentences > 0 else 0
+    colors = {"positive":"#34d399","negative":"#f87171","neutral":"#facc15","question":"#60a5fa","other":"#64748b"}
+    emojis = {"positive":"😊","negative":"😢","neutral":"😐","question":"🤔","other":"🔍"}
+
+    chart_items = []
+    for s, c in sentiment_counts.items():
+        if c > 0:
+            pct = (c/total_sentences)*100
+            chart_items.append(f"""
+            <div style="display:flex;align-items:center;gap:12px;padding:12px;background:rgba(59,130,246,.1);border-radius:8px;">
+              <span style="font-size:24px;">{emojis.get(s,'🔍')}</span>
+              <div style="flex:1;">
+                <div style="font-weight:600;color:#f8fafc;text-transform:capitalize;">{s}</div>
+                <div style="color:#94a3b8;font-size:14px;">{c} ประโยค ({pct:.1f}%)</div>
+              </div>
+              <div style="width:60px;height:6px;background:#334155;border-radius:3px;overflow:hidden;">
+                <div style="width:{pct}%;height:100%;background:{colors.get(s,'#64748b')};"></div>
+              </div>
+            </div>
+            """)
+
+    html_parts.append(f"""
+      <div style="padding:24px;background:linear-gradient(135deg,#1e293b 0%,#0f172a 100%);">
+        <h3 style="color:#f8fafc;margin:0 0 20px 0;font-size:20px;font-weight:700;display:flex;align-items:center;gap:8px;">
+          <span style="font-size:24px;">📊</span> สรุปผลการวิเคราะห์
+        </h3>
+        <div style="display:grid;grid-template-columns:repeat(auto-fit,minmax(200px,1fr));gap:16px;margin-bottom:20px;">
+          <div style="background:#1e293b;padding:20px;border-radius:12px;text-align:center;">
+            <div style="font-size:32px;font-weight:700;color:#60a5fa;margin-bottom:4px;">{total_sentences}</div>
+            <div style="color:#94a3b8;font-size:14px;">ประโยคทั้งหมด</div>
+          </div>
+          <div style="background:#1e293b;padding:20px;border-radius:12px;text-align:center;">
+            <div style="font-size:32px;font-weight:700;color:#34d399;margin-bottom:4px;">{avg_conf*100:.0f}%</div>
+            <div style="color:#94a3b8;font-size:14px;">ความมั่นใจเฉลี่ย</div>
+          </div>
+        </div>
+        <div style="display:grid;gap:8px;">{"".join(chart_items)}</div>
+      </div>
+    </div>
+    """)
+    html_parts.append("</div>")
+    return "".join(html_parts)
+
+# ===== NEW: คืน HTML + JSON โครงสร้าง =====
+def analyze_text_with_data(text: str, model_name: str) -> Tuple[str, str]:
+    html = analyze_text(text, model_name)
+    sentences = split_sentences(text)
+    if not sentences:
+        return html, json.dumps({"model": model_name, "items": [], "summary": {}}, ensure_ascii=False)
+    try:
+        nlp = get_nlp(model_name)
+    except Exception:
+        return html, json.dumps({"model": model_name, "items": [], "summary": {}}, ensure_ascii=False)
+
+    items = []
+    sentiment_counts = {"positive": 0, "negative": 0, "neutral": 0, "question": 0, "other": 0}
+    for i, sentence in enumerate(sentences, 1):
+        try:
+            r = nlp(sentence)[0]
+            raw_label = r["label"]; score = float(r["score"])
+            label_info = get_label_info(raw_label, model_name)
+            label = label_info.get("name", "other")
+            if label not in sentiment_counts:
+                label = "other"
+            sentiment_counts[label] += 1
+            items.append({
+                "index": i, "sentence": sentence, "label": label,
+                "score": score, "raw_label": raw_label
+            })
+        except Exception as e:
+            items.append({
+                "index": i, "sentence": sentence, "label": "error",
+                "score": 0.0, "raw_label": f"error: {e}"
+            })
+
+    results_json = json.dumps({"model": model_name, "items": items, "summary": sentiment_counts}, ensure_ascii=False)
+    return html, results_json
+
+# ===== NEW: ข้อความรวมตาม sentiment สำหรับ Copy =====
+def build_copy_texts(results_json: str) -> Tuple[str, str, str, str, str]:
+    try:
+        data = json.loads(results_json)
+    except Exception:
+        return "", "", "", "", ""
+    buckets = {"positive": [], "negative": [], "neutral": [], "question": [], "other": []}
+    for it in data.get("items", []):
+        lb = it.get("label", "other")
+        if lb not in buckets:
+            lb = "other"
+        buckets[lb].append(f"{it.get('index','')}. {it.get('sentence','')}")
+    j = lambda xs: "\n".join(xs) if xs else ""
+    return j(buckets["positive"]), j(buckets["negative"]), j(buckets["neutral"]), j(buckets["question"]), j(buckets["other"])
+
+# ===== NEW: Export CSV/XLSX =====
+def export_csv(results_json: str) -> str:
+    data = json.loads(results_json)
+    items = data.get("items", [])
+    if pd is None:
+        import csv
+        path = os.path.join(tempfile.gettempdir(), "sentiment_results.csv")
+        with open(path, "w", encoding="utf-8", newline="") as f:
+            w = csv.writer(f)
+            w.writerow(["index","sentence","label","score","raw_label"])
+            for it in items:
+                w.writerow([it.get("index",""), it.get("sentence",""), it.get("label",""), it.get("score",""), it.get("raw_label","")])
+        return path
+    df = pd.DataFrame(items, columns=["index","sentence","label","score","raw_label"])
+    path = os.path.join(tempfile.gettempdir(), "sentiment_results.csv")
+    df.to_csv(path, index=False)
+    return path
+
+def export_xlsx(results_json: str) -> str:
+    if pd is None:
+        raise gr.Error("ต้องติดตั้ง pandas/openpyxl ก่อนจึงจะส่งออก .xlsx ได้")
+    data = json.loads(results_json)
+    items = data.get("items", [])
+    df = pd.DataFrame(items, columns=["index","sentence","label","score","raw_label"])
+    path = os.path.join(tempfile.gettempdir(), "sentiment_results.xlsx")
+    with pd.ExcelWriter(path, engine="openpyxl") as writer:
+        df.to_excel(writer, index=False, sheet_name="all")
+        for s in ["positive","negative","neutral","question","other"]:
+            sdf = df[df["label"] == s]
+            if not sdf.empty:
+                sdf.to_excel(writer, index=False, sheet_name=s)
+    return path
+
+# ===== CSS (ย่อเพื่อความกระชับ) =====
+CUSTOM_CSS = """
+* { font-family: 'Inter','Noto Sans Thai',sans-serif !important; }
+body, .gradio-container { background: linear-gradient(135deg,#181f2a 0%,#232e3c 100%) !important; }
+.main-uxui-card { background:#232e3c;border-radius:20px;border:1.5px solid #2d3a4d;padding:24px;color:#e3e8ef; }
+.main-uxui-btn { padding:.9em 2em;border-radius:12px;font-weight:600;background:linear-gradient(90deg,#2563eb 0%,#1e293b 100%);color:#f8fafc;border:none; }
+.main-uxui-input, .main-uxui-dropdown { border:1.5px solid #2d3a4d;background:#1e2533;color:#e3e8ef;padding:14px;border-radius:10px; }
+.main-uxui-output { background:#1e2533;border:1.5px solid #2d3a4d;border-radius:14px;padding:18px; }
+"""
+
+# ===== UI =====
+with gr.Blocks(css=CUSTOM_CSS, theme=gr.themes.Base(), title="Sentiment Analysis") as demo:
+    with gr.Column(elem_classes="main-uxui-card"):
+        gr.HTML("<h1 style='text-align:center;margin:0 0 8px 0;'>Sentiment Analysis</h1><p style='text-align:center;color:#7da2e3;margin:0;'>วิเคราะห์ความรู้สึกหลายภาษา + Export ไฟล์</p>")
+
+        with gr.Row():
+            model_dropdown = gr.Dropdown(
+                choices=[(desc, name) for name, desc in MODEL_LIST],  # label, value
+                value=MODEL_LIST[0][0],
+                label="เลือกโมเดล (Model)",
+                elem_classes="main-uxui-dropdown"
+            )
+        with gr.Row():
+            input_box = gr.Textbox(
+                lines=5,
+                placeholder="พิมพ์ข้อความ (รองรับหลายประโยค แยกด้วย ., ?, ! หรือขึ้นบรรทัดใหม่)",
+                label="ข้อความที่ต้องการวิเคราะห์",
+                elem_classes="main-uxui-input"
+            )
+        with gr.Row():
+            analyze_btn = gr.Button("วิเคราะห์", elem_classes="main-uxui-btn")
+            clear_btn = gr.Button("ล้างผลลัพธ์", elem_classes="main-uxui-btn")
+
+        with gr.Tab("ผลลัพธ์"):
+            output_html = gr.HTML(label="ผลลัพธ์", elem_classes="main-uxui-output")
+
+        with gr.Tab("Copy ตาม Sentiment"):
+            gr.Markdown("**คัดลอกข้อความที่จัดกลุ่มแล้วตาม sentiment**")
+            pos_copy = gr.Textbox(label="😊 Positive", lines=8, show_copy_button=True)
+            neg_copy = gr.Textbox(label="😢 Negative", lines=8, show_copy_button=True)
+            neu_copy = gr.Textbox(label="😐 Neutral", lines=8, show_copy_button=True)
+            q_copy   = gr.Textbox(label="🤔 Question", lines=6, show_copy_button=True)
+            other_copy = gr.Textbox(label="🔍 Other/Unknown", lines=6, show_copy_button=True)
+
+        with gr.Tab("Export"):
+            results_json = gr.Textbox(visible=False)
+            with gr.Row():
+                export_csv_btn = gr.Button("⬇️ Export CSV", elem_classes="main-uxui-btn")
+                export_xlsx_btn = gr.Button("⬇️ Export Excel (.xlsx)", elem_classes="main-uxui-btn")
+            export_file = gr.File(label="ดาวน์โหลดไฟล์ที่นี่", interactive=False)
+
+        gr.Examples(
+            examples=[
+                ["วันนี้อากาศดีมากๆ รู้สึกสดชื่นและมีความสุขมาก!"],
+                ["เศร้ามากเลยวันนี้ งานเยอะเกินไป"],
+                ["อาหารอร่อยดี แต่บริการช้ามาก"],
+                ["คุณคิดอย่างไรกับเศรษฐกิจไทย?"],
+                ["I love this product! It's amazing."],
+                ["이 제품은 별로예요. 다시는 안 살 거예요."],
+                ["This is the worst experience I've ever had."]
+            ],
+            inputs=input_box,
+            label="ตัวอย่างข้อความ",
+        )
+
+    # ===== Callbacks =====
+    def on_analyze(text, model):
+        html, rjson = analyze_text_with_data(text, model)
+        pos, neg, neu, qn, other = build_copy_texts(rjson)
+        return html, rjson, pos, neg, neu, qn, other
+
+    analyze_btn.click(on_analyze, [input_box, model_dropdown],
+                      [output_html, results_json, pos_copy, neg_copy, neu_copy, q_copy, other_copy])
+    input_box.submit(on_analyze, [input_box, model_dropdown],
+                     [output_html, results_json, pos_copy, neg_copy, neu_copy, q_copy, other_copy])
+    model_dropdown.change(on_analyze, [input_box, model_dropdown],
+                          [output_html, results_json, pos_copy, neg_copy, neu_copy, q_copy, other_copy])
+
+    clear_btn.click(lambda: ("", "", "", "", "", "", ""), None,
+                    [output_html, results_json, pos_copy, neg_copy, neu_copy, q_copy, other_copy])
+
+    export_csv_btn.click(export_csv, inputs=results_json, outputs=export_file)
+    export_xlsx_btn.click(export_xlsx, inputs=results_json, outputs=export_file)
+
+# ===== Launch =====
+if __name__ == "__main__":
+    demo.queue(max_size=50, default_concurrency_limit=10).launch(
+        server_name="0.0.0.0",
+        server_port=7860,
+        share=True,
+        show_error=True,
+        show_api=False,
+        quiet=False,
+        ssl_verify=False,
+        app_kwargs={"docs_url": None, "redoc_url": None},
+    )