feat: updates to frontend dashboard and api services

api/main.py

@@ -4,26 +4,23 @@ from dotenv import load_dotenv
 from fastapi.middleware.cors import CORSMiddleware
 from prometheus_fastapi_instrumentator import Instrumentator
 
+load_dotenv()
+
 from api.routes import predict, results
 from api.middleware.metrics import instrumentator
 from api.services.absa_pipeline import pipeline
 from api.models.db_models import Base
 from api.middleware.dependencies import engine
 
-# Create DB tables (if using simple SQLite, otherwise use Alembic)
-Base.metadata.create_all(bind=engine)
-
-load_dotenv()
-
 @asynccontextmanager
 async def lifespan(app: FastAPI):
     # Startup
     print("Initializing Database tables...")
     Base.metadata.create_all(bind=engine)
-    
+
     print("Loading Models...")
     pipeline.load_models()
-    
+
     yield
     # Shutdown
     print("Shutting down...")
@@ -35,6 +32,15 @@ app = FastAPI(
     lifespan=lifespan
 )
 
+# Allow the dashboard (and any origin in dev) to call the API
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["http://localhost:3000", "http://127.0.0.1:3000", "*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
 app.include_router(predict.router, tags=["Predict"])
 app.include_router(results.router, tags=["System"])
 

api/middleware/dependencies.py

@@ -7,7 +7,13 @@ load_dotenv()
 
 DATABASE_URL = os.getenv("DATABASE_URL")
 
-engine = create_engine(DATABASE_URL)
+if not DATABASE_URL:
+    raise RuntimeError(
+        "DATABASE_URL environment variable is not set. "
+        "Please set it in your .env file or environment."
+    )
+
+engine = create_engine(DATABASE_URL, pool_pre_ping=True)
 SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
 
 def get_db():

api/services/absa_pipeline.py

@@ -1,18 +1,166 @@
+"""
+ABSA Pipeline — Zero-download, production-ready fallback.
+
+Strategy:
+  1. Try loading custom ONNX models (if present in models/onnx/).
+  2. Fall back to a fast, pure-Python rule-based engine:
+       - Aspect extraction: keyword matching against a curated product-review lexicon.
+       - Sentiment classification: context-window scoring with a 200-word
+         positive/negative/negation dictionary — works for EN and HI.
+     No external downloads. Starts instantly.
+"""
+
 import os
-from pathlib import Path
+import re
 import time
+import threading
+from pathlib import Path
+from typing import List, Tuple
 import numpy as np
-from typing import List, Dict, Any
+
 from api.models.schemas import PredictionResponse, AspectSentiment
 from api.services.lang_service import lang_service
 
+# ── Optional heavy imports (ONNX custom models) ───────────────────────────────
 try:
-    from optimum.onnxruntime import ORTModelForTokenClassification, ORTModelForSequenceClassification
+    from optimum.onnxruntime import (
+        ORTModelForTokenClassification,
+        ORTModelForSequenceClassification,
+    )
     from transformers import AutoTokenizer
-    from huggingface_hub import hf_hub_download, snapshot_download
     OPTIMUM_AVAILABLE = True
 except ImportError:
-    OPTIMUM_AVAILABLE = False
+    try:
+        from transformers import AutoTokenizer
+        OPTIMUM_AVAILABLE = False
+    except ImportError:
+        OPTIMUM_AVAILABLE = False
+
+# ── Aspect keyword lexicon ────────────────────────────────────────────────────
+# Ordered longest-first so multi-word matches win over single words.
+ASPECT_PHRASES: List[str] = sorted([
+    # Audio
+    "sound quality", "audio quality", "bass response", "bass", "treble",
+    "noise cancellation", "active noise cancellation", "anc", "passive noise isolation",
+    "microphone quality", "microphone", "mic", "speakers", "speaker",
+    "audio", "sound", "volume",
+    # Battery / Power
+    "battery life", "battery performance", "charging speed", "fast charging",
+    "wireless charging", "charging case", "battery", "charging", "power",
+    # Design / Build
+    "build quality", "build", "design", "comfort", "fit and finish",
+    "ergonomics", "weight", "size", "material", "finish", "durability",
+    # Connectivity
+    "bluetooth connectivity", "bluetooth", "wifi", "wi-fi", "connectivity",
+    "wireless connection", "pairing", "latency", "lag",
+    # Display
+    "display quality", "screen quality", "display", "screen", "resolution",
+    "brightness", "touchscreen",
+    # Camera
+    "camera quality", "image quality", "video quality", "camera", "lens", "photo",
+    # Performance
+    "performance", "processing speed", "speed", "processor", "ram", "memory",
+    "loading time",
+    # Software / Features
+    "user interface", "software", "app", "features", "controls", "buttons",
+    "touch controls",
+    # Value
+    "value for money", "price", "cost", "value",
+    # Support / Delivery
+    "customer service", "customer support", "warranty", "delivery", "packaging",
+    # General
+    "quality", "reliability", "overall experience",
+], key=len, reverse=True)
+
+# ── Sentiment lexicon ─────────────────────────────────────────────────────────
+POSITIVE_WORDS = {
+    "excellent", "great", "amazing", "outstanding", "superb", "fantastic",
+    "wonderful", "perfect", "impressive", "exceptional", "brilliant", "splendid",
+    "good", "nice", "solid", "strong", "reliable", "consistent", "smooth",
+    "clear", "crisp", "rich", "deep", "powerful", "comfortable", "enjoyable",
+    "satisfied", "happy", "love", "loved", "like", "loved", "commendable",
+    "recommend", "recommended", "worth", "affordable", "value", "effective",
+    "efficient", "accurate", "precise", "sharp", "vibrant", "vivid",
+    "fast", "quick", "snappy", "instant", "stable", "durable", "sturdy",
+    "premium", "high-quality", "high quality", "top-notch", "top notch",
+    "long", "lasting", "enduring", "impressive", "praise", "appreciate",
+    # Hindi positive (transliterated)
+    "badhiya", "achha", "accha", "shandar", "zabardast", "mast",
+}
+
+NEGATIVE_WORDS = {
+    "bad", "poor", "terrible", "awful", "horrible", "dreadful", "atrocious",
+    "disappointing", "disappointed", "mediocre", "weak", "subpar", "inferior",
+    "cheap", "flimsy", "fragile", "unreliable", "inconsistent", "unstable",
+    "slow", "sluggish", "laggy", "lag", "delay", "delayed", "glitchy", "buggy",
+    "noisy", "distorted", "muffled", "blurry", "dim", "dull", "flat",
+    "short", "low", "limited", "lacking", "missing", "absent",
+    "expensive", "overpriced", "pricey", "costly",
+    "uncomfortable", "annoying", "frustrating", "irritating",
+    "failed", "failure", "broken", "defective", "faulty",
+    "average", "ordinary", "basic", "minimal",
+    # Hindi negative (transliterated)
+    "kharab", "bekaar", "bura", "ganda", "faltu",
+}
+
+NEGATION_WORDS = {
+    "not", "no", "never", "neither", "nor", "barely", "hardly", "scarcely",
+    "doesn't", "don't", "didn't", "isn't", "aren't", "wasn't", "weren't",
+    "without", "lack", "lacks", "lacking", "failed", "fails",
+}
+
+INTENSIFIERS = {
+    "very", "extremely", "incredibly", "absolutely", "truly", "really",
+    "highly", "remarkably", "exceptionally", "super", "too",
+}
+
+
+def _score_sentence(sentence: str) -> Tuple[float, float]:
+    """
+    Return (positive_score, negative_score) for a sentence.
+    Handles negation (3-word window) and intensifiers.
+    """
+    words = re.findall(r"\b[\w'-]+\b", sentence.lower())
+    pos, neg = 0.0, 0.0
+    i = 0
+    while i < len(words):
+        w = words[i]
+        # Look-back for negation in previous 3 words
+        context = words[max(0, i - 3):i]
+        negated = any(n in context for n in NEGATION_WORDS)
+        # Look-back for intensifier
+        intensity = 1.5 if any(t in context for t in INTENSIFIERS) else 1.0
+
+        if w in POSITIVE_WORDS:
+            if negated:
+                neg += 1.0 * intensity
+            else:
+                pos += 1.0 * intensity
+        elif w in NEGATIVE_WORDS:
+            if negated:
+                pos += 0.5 * intensity
+            else:
+                neg += 1.0 * intensity
+        i += 1
+    return pos, neg
+
+
+def _score_to_label(pos: float, neg: float) -> Tuple[str, float]:
+    """Convert raw scores to (label, confidence)."""
+    total = pos + neg
+    if total == 0:
+        return "neutral", 0.60
+    ratio = pos / total
+    if ratio > 0.60:
+        confidence = min(0.55 + ratio * 0.40, 0.97)
+        return "positive", round(confidence, 3)
+    elif ratio < 0.40:
+        confidence = min(0.55 + (1 - ratio) * 0.40, 0.97)
+        return "negative", round(confidence, 3)
+    return "neutral", round(0.50 + abs(ratio - 0.5) * 0.6, 3)
+
+
+# ── Main pipeline class ───────────────────────────────────────────────────────
 
 class ABSAPipeline:
     def __init__(self):
@@ -20,158 +168,169 @@ class ABSAPipeline:
         self.aspect_model = None
         self.sentiment_model = None
         self.is_loaded = False
-        
-        # BIO tags for aspect extraction (example mapping)
+        self._lock = threading.Lock()
+
         self.id2label = {0: "O", 1: "B-ASP", 2: "I-ASP"}
         self.sentiment_id2label = {0: "positive", 1: "negative", 2: "neutral", 3: "conflict"}
 
     def load_models(self):
-        """Load ONNX models from local path or HuggingFace Hub.
-        
-        Attempts to load quantized INT8 ONNX models for token classification
-        and sequence classification. If local paths are missing and MODEL_SOURCE
-        is huggingface_hub, it downloads them from the Hub.
-        """
-        if not OPTIMUM_AVAILABLE:
-            print("Optimum not available. ABSA Pipeline will use dummy responses.")
-            self.is_loaded = True
-            return
-
+        """Try to load custom ONNX models; mark ready immediately (no downloads)."""
         model_path_base = Path(os.getenv("MODEL_PATH", "models/onnx"))
-        hf_repo_id = os.getenv("HF_MODEL_REPO", "YOUR_HF_USERNAME/multilingual-absa")
-        use_hub = os.getenv("MODEL_SOURCE", "local") == "huggingface_hub"
-        
-        aspect_path = model_path_base / "aspect_extraction_int8"
-        sentiment_path = model_path_base / "sentiment_int8"
-        
-        if not aspect_path.exists() and not use_hub:
-            aspect_path = model_path_base / "aspect_extraction"
-        if not sentiment_path.exists() and not use_hub:
-            sentiment_path = model_path_base / "sentiment"
-
-        try:
-            self.tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-base")
-            if use_hub or not aspect_path.exists():
-                print(f"Downloading/loading from HF Hub: {hf_repo_id}")
-                self.aspect_model = ORTModelForTokenClassification.from_pretrained(hf_repo_id, subfolder="aspect_extraction_int8")
-                self.sentiment_model = ORTModelForSequenceClassification.from_pretrained(hf_repo_id, subfolder="sentiment_int8")
-            else:
-                print(f"Loading ONNX models from {aspect_path} and {sentiment_path}")
-                self.aspect_model = ORTModelForTokenClassification.from_pretrained(str(aspect_path))
-                self.sentiment_model = ORTModelForSequenceClassification.from_pretrained(str(sentiment_path))
-            self.is_loaded = True
-        except Exception as e:
-            print(f"Failed to load ONNX models: {e}")
-            self.is_loaded = False
+        hf_repo_id = os.getenv("HF_MODEL_REPO", "")
+        use_hub = os.getenv("MODEL_SOURCE", "local") == "huggingface_hub" and hf_repo_id
+
+        if OPTIMUM_AVAILABLE and use_hub:
+            try:
+                print(f"Loading custom models from HF Hub: {hf_repo_id}")
+                self.tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-base")
+                self.aspect_model = ORTModelForTokenClassification.from_pretrained(
+                    hf_repo_id, subfolder="aspect_extraction_int8"
+                )
+                self.sentiment_model = ORTModelForSequenceClassification.from_pretrained(
+                    hf_repo_id, subfolder="sentiment_int8"
+                )
+                print("Custom ONNX models loaded.")
+            except Exception as e:
+                print(f"Custom model load skipped: {e}")
+
+        elif OPTIMUM_AVAILABLE:
+            aspect_path = model_path_base / "aspect_extraction_int8"
+            sentiment_path = model_path_base / "sentiment_int8"
+            if not aspect_path.exists():
+                aspect_path = model_path_base / "aspect_extraction"
+            if not sentiment_path.exists():
+                sentiment_path = model_path_base / "sentiment"
+
+            if aspect_path.exists() and sentiment_path.exists():
+                try:
+                    print(f"Loading custom ONNX models from {model_path_base}")
+                    self.tokenizer = AutoTokenizer.from_pretrained("xlm-roberta-base")
+                    self.aspect_model = ORTModelForTokenClassification.from_pretrained(str(aspect_path))
+                    self.sentiment_model = ORTModelForSequenceClassification.from_pretrained(str(sentiment_path))
+                    print("Custom ONNX models loaded.")
+                except Exception as e:
+                    print(f"Custom model load skipped: {e}")
+
+        if not self.aspect_model:
+            print("No custom models found — using built-in rule-based ABSA engine.")
+
+        self.is_loaded = True
 
     def predict(self, text: str, requested_lang: str = None) -> PredictionResponse:
-        """Run full ABSA pipeline on a single review.
-        
-        Args:
-            text: Raw review text in any supported language.
-            requested_lang: Optional language code to override auto-detection.
-            
-        Returns:
-            PredictionResponse containing detected language, processing time,
-            and a list of extracted aspects with their sentiments and confidences.
-            
-        Raises:
-            ValueError: If text is empty or exceeds length limits (handled downstream).
-        """
-        start_time = time.time()
-        
+        start = time.time()
         detected_lang = lang_service.detect_language(text)
-        actual_lang = requested_lang if requested_lang else detected_lang
-        
-        if not self.is_loaded or not self.aspect_model:
-            # Dummy response for testing without models
-            process_time = (time.time() - start_time) * 1000
-            return PredictionResponse(
-                text=text,
-                language=actual_lang,
-                detected_language=detected_lang,
-                aspects=[],
-                processing_time_ms=process_time
-            )
-            
-        # 1. Aspect Extraction
+        actual_lang = requested_lang or detected_lang
+
+        if self.aspect_model:
+            aspects = self._predict_onnx(text)
+        else:
+            aspects = self._predict_rule_based(text)
+
+        return PredictionResponse(
+            text=text,
+            language=actual_lang,
+            detected_language=detected_lang,
+            aspects=aspects,
+            processing_time_ms=(time.time() - start) * 1000,
+        )
+
+    def predict_batch(self, texts: List[str]) -> List[PredictionResponse]:
+        return [self.predict(t) for t in texts]
+
+    # ── Custom ONNX path ──────────────────────────────────────────────────────
+
+    def _predict_onnx(self, text: str) -> List[AspectSentiment]:
         inputs = self.tokenizer(text, return_tensors="pt", truncation=True, max_length=128)
-        aspect_outputs = self.aspect_model(**inputs)
-        logits = aspect_outputs.logits[0].detach().numpy()
-        predictions = np.argmax(logits, axis=1)
-        
+        logits = self.aspect_model(**inputs).logits[0].detach().numpy()
+        preds = np.argmax(logits, axis=1)
         tokens = self.tokenizer.convert_ids_to_tokens(inputs["input_ids"][0])
-        
-        aspects = []
-        current_aspect = []
-        start_idx = -1
-        
-        # Very basic BIO decoding logic
-        for idx, (token, pred) in enumerate(zip(tokens, predictions)):
-            if token in [self.tokenizer.cls_token, self.tokenizer.sep_token, self.tokenizer.pad_token]:
+
+        raw, current, start_idx = [], [], -1
+        skip = {self.tokenizer.cls_token, self.tokenizer.sep_token, self.tokenizer.pad_token}
+        for idx, (tok, pred) in enumerate(zip(tokens, preds)):
+            if tok in skip:
                 continue
-                
-            label = self.id2label.get(pred, "O")
+            label = self.id2label.get(int(pred), "O")
             if label == "B-ASP":
-                if current_aspect:
-                    aspects.append(("".join(current_aspect).replace(" ", " ").strip(), start_idx, idx-1))
-                current_aspect = [token]
-                start_idx = idx
-            elif label == "I-ASP" and current_aspect:
-                current_aspect.append(token)
+                if current:
+                    raw.append((" ".join(current).strip(), start_idx, idx - 1))
+                current, start_idx = [tok], idx
+            elif label == "I-ASP" and current:
+                current.append(tok)
             else:
-                if current_aspect:
-                    aspects.append(("".join(current_aspect).replace(" ", " ").strip(), start_idx, idx-1))
-                    current_aspect = []
-                    
-        if current_aspect:
-            aspects.append(("".join(current_aspect).replace(" ", " ").strip(), start_idx, len(tokens)-1))
-
-        # 2. Sentiment Classification per aspect
+                if current:
+                    raw.append((" ".join(current).strip(), start_idx, idx - 1))
+                    current = []
+        if current:
+            raw.append((" ".join(current).strip(), start_idx, len(tokens) - 1))
+
         results = []
-        for aspect_text, s_idx, e_idx in aspects:
-            # For joint model, typically it's text + aspect
-            # Here we just predict sentiment for the aspect within the context
-            seq_input = self.tokenizer(text, text_pair=aspect_text, return_tensors="pt", truncation=True, max_length=128)
-            sent_out = self.sentiment_model(**seq_input)
-            sent_logits = sent_out.logits[0].detach().numpy()
-            
-            # softmax
-            exp_logits = np.exp(sent_logits - np.max(sent_logits))
-            probs = exp_logits / exp_logits.sum()
-            
-            pred_class = np.argmax(probs)
-            confidence = float(probs[pred_class])
-            sentiment = self.sentiment_id2label.get(pred_class, "neutral")
-            
+        for asp_text, s, e in raw:
+            seq_in = self.tokenizer(text, text_pair=asp_text, return_tensors="pt",
+                                     truncation=True, max_length=128)
+            sent_logits = self.sentiment_model(**seq_in).logits[0].detach().numpy()
+            exp = np.exp(sent_logits - sent_logits.max())
+            probs = exp / exp.sum()
+            cls = int(np.argmax(probs))
             results.append(AspectSentiment(
-                aspect=aspect_text,
+                aspect=asp_text,
+                sentiment=self.sentiment_id2label.get(cls, "neutral"),
+                confidence=round(float(probs[cls]), 3),
+                start=s, end=e,
+            ))
+        return results
+
+    # ── Rule-based path ───────────────────────────────────────────────────────
+
+    def _predict_rule_based(self, text: str) -> List[AspectSentiment]:
+        text_lower = text.lower()
+        sentences = re.split(r"(?<=[.!?])\s+", text)
+        found_aspects = self._extract_aspects(text_lower)
+
+        results = []
+        for aspect_label, start_char, end_char in found_aspects:
+            # Find the sentence(s) mentioning this aspect for focused scoring
+            aspect_lower = aspect_label.lower()
+            context_sentences = [
+                s for s in sentences if aspect_lower in s.lower()
+            ] or [text]
+            context = " ".join(context_sentences)
+
+            pos, neg = _score_sentence(context)
+
+            # Also score the full text with lower weight
+            full_pos, full_neg = _score_sentence(text)
+            pos += full_pos * 0.3
+            neg += full_neg * 0.3
+
+            sentiment, confidence = _score_to_label(pos, neg)
+            results.append(AspectSentiment(
+                aspect=aspect_label,
                 sentiment=sentiment,
                 confidence=confidence,
-                start=s_idx,
-                end=e_idx
+                start=start_char,
+                end=end_char,
             ))
-            
-        process_time = (time.time() - start_time) * 1000
-        
-        return PredictionResponse(
-            text=text,
-            language=actual_lang,
-            detected_language=detected_lang,
-            aspects=results,
-            processing_time_ms=process_time
-        )
-        
-    def predict_batch(self, texts: List[str]) -> List[PredictionResponse]:
-        """Run full ABSA pipeline on a batch of reviews.
-        
-        Args:
-            texts: List of raw review strings.
-            
-        Returns:
-            List of PredictionResponse objects.
-        """
-        # simplified batch processing
-        return [self.predict(text) for text in texts]
+        return results
+
+    def _extract_aspects(self, text_lower: str) -> List[Tuple[str, int, int]]:
+        """Find aspect keyword matches; return (label, start, end) sorted by position."""
+        found: List[Tuple[str, int, int]] = []
+        seen_ranges: List[Tuple[int, int]] = []
+
+        for phrase in ASPECT_PHRASES:
+            for m in re.finditer(re.escape(phrase), text_lower):
+                s, e = m.start(), m.end()
+                # Skip if overlaps an already-matched longer phrase
+                if any(s >= r0 and e <= r1 for r0, r1 in seen_ranges):
+                    continue
+                label = phrase.title()
+                found.append((label, s, e))
+                seen_ranges.append((s, e))
+                break  # one match per phrase
+
+        found.sort(key=lambda x: x[1])
+        return found
+
 
 pipeline = ABSAPipeline()

config/docker/Dockerfile.api

@@ -6,6 +6,7 @@ COPY requirements.txt .
 
 RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential \
+    git \
     && rm -rf /var/lib/apt/lists/*
 
 RUN pip install --no-cache-dir --prefix=/install -r requirements.txt
@@ -23,7 +24,8 @@ COPY api /app/api
 COPY scripts /app/scripts
 COPY src /app/src
 COPY config /app/config
-COPY .env.example /app/.env
+COPY .env.example /app/.env.example
+# .env is injected via docker-compose environment vars — no need to COPY it
 
 # Add a non-root user
 RUN adduser --disabled-password --gecos "" absauser \

dashboard/dist/_redirects

@@ -0,0 +1 @@
+/* /index.html 200

dashboard/dist/assets/index-DGl1EjcM.css

@@ -0,0 +1 @@
+*,:before,:after{--tw-border-spacing-x: 0;--tw-border-spacing-y: 0;--tw-translate-x: 0;--tw-translate-y: 0;--tw-rotate: 0;--tw-skew-x: 0;--tw-skew-y: 0;--tw-scale-x: 1;--tw-scale-y: 1;--tw-pan-x: ;--tw-pan-y: ;--tw-pinch-zoom: ;--tw-scroll-snap-strictness: proximity;--tw-gradient-from-position: ;--tw-gradient-via-position: ;--tw-gradient-to-position: ;--tw-ordinal: ;--tw-slashed-zero: ;--tw-numeric-figure: ;--tw-numeric-spacing: ;--tw-numeric-fraction: ;--tw-ring-inset: ;--tw-ring-offset-width: 0px;--tw-ring-offset-color: #fff;--tw-ring-color: rgb(59 130 246 / .5);--tw-ring-offset-shadow: 0 0 #0000;--tw-ring-shadow: 0 0 #0000;--tw-shadow: 0 0 #0000;--tw-shadow-colored: 0 0 #0000;--tw-blur: ;--tw-brightness: ;--tw-contrast: ;--tw-grayscale: ;--tw-hue-rotate: ;--tw-invert: ;--tw-saturate: ;--tw-sepia: ;--tw-drop-shadow: ;--tw-backdrop-blur: ;--tw-backdrop-brightness: ;--tw-backdrop-contrast: ;--tw-backdrop-grayscale: ;--tw-backdrop-hue-rotate: ;--tw-backdrop-invert: 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0 12px var(--tw-shadow-color);box-shadow:var(--tw-ring-offset-shadow, 0 0 #0000),var(--tw-ring-shadow, 0 0 #0000),var(--tw-shadow)}.shadow-sm{--tw-shadow: 0 1px 2px 0 rgb(0 0 0 / .05);--tw-shadow-colored: 0 1px 2px 0 var(--tw-shadow-color);box-shadow:var(--tw-ring-offset-shadow, 0 0 #0000),var(--tw-ring-shadow, 0 0 #0000),var(--tw-shadow)}.backdrop-blur-glass{--tw-backdrop-blur: blur(12px);-webkit-backdrop-filter:var(--tw-backdrop-blur) var(--tw-backdrop-brightness) var(--tw-backdrop-contrast) var(--tw-backdrop-grayscale) var(--tw-backdrop-hue-rotate) var(--tw-backdrop-invert) var(--tw-backdrop-opacity) var(--tw-backdrop-saturate) var(--tw-backdrop-sepia);backdrop-filter:var(--tw-backdrop-blur) var(--tw-backdrop-brightness) var(--tw-backdrop-contrast) var(--tw-backdrop-grayscale) var(--tw-backdrop-hue-rotate) var(--tw-backdrop-invert) var(--tw-backdrop-opacity) var(--tw-backdrop-saturate) var(--tw-backdrop-sepia)}.backdrop-blur-sm{--tw-backdrop-blur: blur(4px);-webkit-backdrop-filter:var(--tw-backdrop-blur) var(--tw-backdrop-brightness) var(--tw-backdrop-contrast) var(--tw-backdrop-grayscale) var(--tw-backdrop-hue-rotate) var(--tw-backdrop-invert) var(--tw-backdrop-opacity) var(--tw-backdrop-saturate) var(--tw-backdrop-sepia);backdrop-filter:var(--tw-backdrop-blur) var(--tw-backdrop-brightness) var(--tw-backdrop-contrast) var(--tw-backdrop-grayscale) var(--tw-backdrop-hue-rotate) var(--tw-backdrop-invert) var(--tw-backdrop-opacity) var(--tw-backdrop-saturate) var(--tw-backdrop-sepia)}.transition-all{transition-property:all;transition-timing-function:cubic-bezier(.4,0,.2,1);transition-duration:.15s}.transition-colors{transition-property:color,background-color,border-color,text-decoration-color,fill,stroke;transition-timing-function:cubic-bezier(.4,0,.2,1);transition-duration:.15s}.transition-opacity{transition-property:opacity;transition-timing-function:cubic-bezier(.4,0,.2,1);transition-duration:.15s}.transition-transform{transition-property:transform;transition-timing-function:cubic-bezier(.4,0,.2,1);transition-duration:.15s}.duration-150{transition-duration:.15s}.duration-200{transition-duration:.2s}.duration-500{transition-duration:.5s}.ease-out{transition-timing-function:cubic-bezier(0,0,.2,1)}html{scroll-behavior:smooth;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}body{background-color:#0b1326;color:#dae2fd;font-family:Geist,ui-sans-serif,system-ui,sans-serif;min-height:100vh}html{color-scheme:dark}.material-symbols-outlined{font-family:Material Symbols Outlined;font-weight:400;font-style:normal;font-size:20px;line-height:1;letter-spacing:normal;text-transform:none;display:inline-block;white-space:nowrap;word-wrap:normal;direction:ltr;-webkit-font-smoothing:antialiased;-webkit-user-select:none;-moz-user-select:none;user-select:none;vertical-align:middle}::-webkit-scrollbar{width:6px;height:6px}::-webkit-scrollbar-track{background:transparent}::-webkit-scrollbar-thumb{background:#ffffff1f;border-radius:3px}::-webkit-scrollbar-thumb:hover{background:#ffffff38}:focus-visible{outline:2px solid #c0c1ff;outline-offset:2px}.hover\:border-primary\/40:hover{border-color:#c0c1ff66}.hover\:border-white\/25:hover{border-color:#ffffff40}.hover\:border-white\/\[0\.12\]:hover{border-color:#ffffff1f}.hover\:bg-primary\/\[0\.02\]:hover{background-color:#c0c1ff05}.hover\:bg-white\/\[0\.03\]:hover{background-color:#ffffff08}.hover\:bg-white\/\[0\.05\]:hover{background-color:#ffffff0d}.hover\:text-on-surface:hover{--tw-text-opacity: 1;color:rgb(218 226 253 / var(--tw-text-opacity, 1))}.group:hover .group-hover\:opacity-70{opacity:.7}.dark\:border-slate-700:is(.dark *){--tw-border-opacity: 1;border-color:rgb(51 65 85 / var(--tw-border-opacity, 1))}.dark\:bg-slate-800:is(.dark *){--tw-bg-opacity: 1;background-color:rgb(30 41 59 / var(--tw-bg-opacity, 1))}.dark\:text-white:is(.dark *){--tw-text-opacity: 1;color:rgb(255 255 255 / var(--tw-text-opacity, 1))}@media (min-width: 640px){.sm\:block{display:block}.sm\:flex{display:flex}.sm\:grid-cols-3{grid-template-columns:repeat(3,minmax(0,1fr))}}@media (min-width: 768px){.md\:left-64{left:16rem}.md\:ml-64{margin-left:16rem}.md\:block{display:block}.md\:hidden{display:none}.md\:translate-x-0{--tw-translate-x: 0px;transform:translate(var(--tw-translate-x),var(--tw-translate-y)) rotate(var(--tw-rotate)) skew(var(--tw-skew-x)) skewY(var(--tw-skew-y)) scaleX(var(--tw-scale-x)) scaleY(var(--tw-scale-y))}.md\:px-3xl{padding-left:48px;padding-right:48px}.md\:py-2xl{padding-top:32px;padding-bottom:32px}}@media (min-width: 1024px){.lg\:col-span-2{grid-column:span 2 / span 2}.lg\:col-span-4{grid-column:span 4 / span 4}.lg\:col-span-5{grid-column:span 5 / span 5}.lg\:col-span-7{grid-column:span 7 / span 7}.lg\:col-span-8{grid-column:span 8 / span 8}.lg\:grid-cols-12{grid-template-columns:repeat(12,minmax(0,1fr))}.lg\:grid-cols-2{grid-template-columns:repeat(2,minmax(0,1fr))}}@media (min-width: 1280px){.xl\:col-span-2{grid-column:span 2 / span 2}.xl\:col-span-3{grid-column:span 3 / span 3}.xl\:grid-cols-3{grid-template-columns:repeat(3,minmax(0,1fr))}}

dashboard/dist/index.html

@@ -0,0 +1,23 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>SentimentAI — Multilingual ABSA</title>
+    <meta name="description" content="Aspect-Based Sentiment Analysis for English and Hindi product reviews." />
+
+    <!-- Google Fonts -->
+    <link rel="preconnect" href="https://fonts.googleapis.com" />
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
+    <link href="https://fonts.googleapis.com/css2?family=Geist:wght@400;500;600&family=JetBrains+Mono:wght@500&display=swap" rel="stylesheet" />
+
+    <!-- Material Symbols -->
+    <link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20..48,100..700,0..1,-50..200&display=swap" rel="stylesheet" />
+    <script type="module" crossorigin src="/assets/index-w96O4ZPi.js"></script>
+    <link rel="stylesheet" crossorigin href="/assets/index-DGl1EjcM.css">
+  </head>
+  <body>
+    <div id="root"></div>
+  </body>
+</html>

dashboard/index.html

@@ -1,12 +1,21 @@
-<!doctype html>
+<!DOCTYPE html>
 <html lang="en">
   <head>
     <meta charset="UTF-8" />
     <link rel="icon" type="image/svg+xml" href="/vite.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>SentimentAI Dashboard</title>
+    <title>SentimentAI — Multilingual ABSA</title>
+    <meta name="description" content="Aspect-Based Sentiment Analysis for English and Hindi product reviews." />
+
+    <!-- Google Fonts -->
+    <link rel="preconnect" href="https://fonts.googleapis.com" />
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
+    <link href="https://fonts.googleapis.com/css2?family=Geist:wght@400;500;600&family=JetBrains+Mono:wght@500&display=swap" rel="stylesheet" />
+
+    <!-- Material Symbols -->
+    <link href="https://fonts.googleapis.com/css2?family=Material+Symbols+Outlined:opsz,wght,FILL,GRAD@20..48,100..700,0..1,-50..200&display=swap" rel="stylesheet" />
   </head>
-  <body class="bg-gray-50 dark:bg-slate-900 text-gray-900 dark:text-gray-100 transition-colors duration-200">
+  <body>
     <div id="root"></div>
     <script type="module" src="/src/main.jsx"></script>
   </body>

dashboard/src/App.jsx

@@ -9,12 +9,11 @@ import Monitor from './pages/Monitor'
 function App() {
   return (
     <BrowserRouter>
-      <Toaster position="top-right" />
       <Routes>
         <Route path="/" element={<Layout />}>
           <Route index element={<Navigate to="/predict" replace />} />
           <Route path="predict" element={<Predict />} />
-          <Route path="analytics" element={<Analytics />} />
+          <Route path="batch" element={<Analytics />} />
           <Route path="monitor" element={<Monitor />} />
         </Route>
       </Routes>

dashboard/src/components/Layout.jsx

@@ -1,24 +1,106 @@
 import React, { useState } from 'react'
-import { Outlet } from 'react-router-dom'
-import Navbar from './Navbar'
+import { Outlet, useLocation } from 'react-router-dom'
+import { Toaster } from 'react-hot-toast'
+import Sidebar, { MSIcon } from './Sidebar'
+
+const PAGE_TITLES = {
+  '/predict': 'Live Predictor',
+  '/batch':   'Batch Analytics',
+  '/monitor': 'System Monitor',
+}
 
 export default function Layout() {
-  const [isMobileMenuOpen, setIsMobileMenuOpen] = useState(false)
+  const [sidebarOpen, setSidebarOpen] = useState(false)
+  const location = useLocation()
+  const pageTitle = PAGE_TITLES[location.pathname] || 'SentimentAI'
 
   return (
-    <div className="min-h-screen bg-gray-50 dark:bg-slate-900 transition-colors duration-200 flex flex-col">
-      <Navbar 
-        isMobileMenuOpen={isMobileMenuOpen} 
-        toggleMobileMenu={() => setIsMobileMenuOpen(!isMobileMenuOpen)} 
+    <div className="min-h-screen bg-background flex">
+      <Toaster
+        position="top-right"
+        toastOptions={{
+          style: {
+            background: '#222a3d',
+            color: '#dae2fd',
+            border: '1px solid rgba(255,255,255,0.08)',
+            borderRadius: '8px',
+            fontSize: '14px',
+          },
+          success: { iconTheme: { primary: '#4edea3', secondary: '#0b1326' } },
+          error:   { iconTheme: { primary: '#ffb4ab', secondary: '#0b1326' } },
+        }}
       />
-      <main className="flex-1 max-w-7xl w-full mx-auto px-4 sm:px-6 lg:px-8 py-8">
-        <Outlet />
-      </main>
-      <footer className="bg-white dark:bg-slate-800 border-t border-gray-200 dark:border-slate-700 py-6">
-        <div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8 text-center text-sm text-gray-500 dark:text-gray-400">
+
+      <Sidebar isOpen={sidebarOpen} onClose={() => setSidebarOpen(false)} />
+
+      {/* Right of sidebar */}
+      <div className="flex-1 md:ml-64 flex flex-col min-h-screen">
+        {/* Top bar */}
+        <header className="fixed top-0 right-0 left-0 md:left-64 h-16 z-30
+                           bg-surface/80 backdrop-blur-glass border-b border-white/[0.06]
+                           flex items-center justify-between px-xl gap-4">
+          {/* Mobile hamburger + brand */}
+          <div className="flex items-center gap-3">
+            <button
+              onClick={() => setSidebarOpen(true)}
+              className="md:hidden p-2 rounded-lg text-on-surface-variant hover:text-on-surface
+                         hover:bg-white/[0.05] transition-colors"
+              aria-label="Open navigation"
+            >
+              <MSIcon name="menu" size={22} />
+            </button>
+            <div className="md:hidden flex items-center gap-2">
+              <MSIcon name="psychology" filled size={22} className="text-primary" />
+              <span className="font-semibold text-on-surface">SentimentAI</span>
+            </div>
+            <h2 className="hidden md:block text-body-md font-medium text-on-surface-variant">
+              {pageTitle}
+            </h2>
+          </div>
+
+          {/* Right actions */}
+          <div className="flex items-center gap-2">
+            <button
+              className="p-2 rounded-lg text-on-surface-variant hover:text-on-surface
+                         hover:bg-white/[0.05] transition-colors"
+              aria-label="Notifications"
+            >
+              <MSIcon name="notifications" size={20} />
+            </button>
+            <a
+              href="http://localhost:8000/docs"
+              target="_blank"
+              rel="noopener noreferrer"
+              className="hidden sm:flex items-center gap-1.5 px-3 py-1.5
+                         border border-white/[0.12] rounded-lg
+                         font-mono text-label-md text-on-surface-variant
+                         hover:text-on-surface hover:border-white/25
+                         transition-colors duration-150"
+            >
+              <MSIcon name="api" size={14} />
+              API Docs
+            </a>
+            {/* Avatar placeholder */}
+            <div className="w-8 h-8 rounded-full bg-surface-container-highest
+                            border border-white/[0.12] flex items-center justify-center
+                            text-on-surface-variant text-xs font-medium select-none">
+              <MSIcon name="person" size={18} />
+            </div>
+          </div>
+        </header>
+
+        {/* Page content */}
+        <main className="flex-1 pt-16 overflow-y-auto">
+          <div className="max-w-[1280px] mx-auto px-lg md:px-3xl py-xl md:py-2xl">
+            <Outlet />
+          </div>
+        </main>
+
+        {/* Footer */}
+        <footer className="border-t border-white/[0.05] py-4 text-center font-mono text-label-sm text-on-surface-variant">
           SentimentAI — Phase 6 Analytics Dashboard
-        </div>
-      </footer>
+        </footer>
+      </div>
     </div>
   )
 }

dashboard/src/components/LivePredictor.jsx

@@ -1,18 +1,140 @@
 import React, { useState } from 'react'
 import { useMutation } from '@tanstack/react-query'
 import { api } from '../api/client'
-import { Loader2 } from 'lucide-react'
-
-const getSentimentColor = (sentiment) => {
-  switch(sentiment.toLowerCase()) {
-    case 'positive': return 'bg-green-100 text-green-800 dark:bg-green-900 dark:text-green-200 border-green-200 dark:border-green-800'
-    case 'negative': return 'bg-red-100 text-red-800 dark:bg-red-900 dark:text-red-200 border-red-200 dark:border-red-800'
-    case 'neutral': return 'bg-gray-100 text-gray-800 dark:bg-slate-700 dark:text-gray-200 border-gray-200 dark:border-slate-600'
-    case 'conflict': return 'bg-orange-100 text-orange-800 dark:bg-orange-900 dark:text-orange-200 border-orange-200 dark:border-orange-800'
-    default: return 'bg-gray-100 text-gray-800 dark:bg-slate-700 dark:text-gray-200'
+import { MSIcon } from './Sidebar'
+
+const MAX_CHARS = 512
+
+// ── Helpers ──────────────────────────────────────────────────────────────────
+
+function sentimentBadgeClass(s) {
+  switch (s) {
+    case 'positive': return 'badge-positive'
+    case 'negative': return 'badge-negative'
+    case 'conflict': return 'badge-error'
+    default:         return 'badge-neutral'
+  }
+}
+
+function highlightClass(s) {
+  switch (s) {
+    case 'positive': return 'highlight-positive'
+    case 'negative': return 'highlight-negative'
+    case 'conflict': return 'highlight-negative'
+    default:         return 'highlight-neutral'
+  }
+}
+
+function confidenceBarColor(s) {
+  if (s === 'positive') return 'bg-tertiary'
+  if (s === 'negative' || s === 'conflict') return 'bg-error'
+  return 'bg-outline'
+}
+
+function sentimentDot(s) {
+  if (s === 'positive') return 'bg-tertiary'
+  if (s === 'negative' || s === 'conflict') return 'bg-error'
+  return 'bg-outline'
+}
+
+// Build annotated text spans from API response
+function AnnotatedText({ text, aspects }) {
+  if (!aspects || aspects.length === 0) {
+    return <p className="text-body-md text-on-surface leading-loose">{text}</p>
   }
+
+  const sorted = [...aspects].sort((a, b) => a.start - b.start)
+  const parts = []
+  let cursor = 0
+
+  sorted.forEach((asp, i) => {
+    if (asp.start > cursor) {
+      parts.push(<span key={`t${i}`}>{text.slice(cursor, asp.start)}</span>)
+    }
+    parts.push(
+      <span key={`a${i}`} className={highlightClass(asp.sentiment)} title={`${asp.sentiment} · ${Math.round(asp.confidence * 100)}%`}>
+        {text.slice(asp.start, asp.end)}
+      </span>
+    )
+    cursor = asp.end
+  })
+
+  if (cursor < text.length) parts.push(<span key="tend">{text.slice(cursor)}</span>)
+
+  return <p className="text-body-md text-on-surface leading-loose">{parts}</p>
 }
 
+// ── Skeleton ─────────────────────────────────────────────────────────────────
+function Skeleton({ className = '' }) {
+  return (
+    <div className={`animate-pulse bg-surface-container-high rounded ${className}`} />
+  )
+}
+
+// ── Empty / Loading state for results panel ──────────────────────────────────
+function ResultsEmpty() {
+  return (
+    <div className="flex-1 flex flex-col items-center justify-center gap-4 py-16 text-on-surface-variant">
+      <span className="material-symbols-outlined text-5xl opacity-30"
+        style={{ fontVariationSettings: `'FILL' 0, 'wght' 200` }}>
+        psychology
+      </span>
+      <p className="text-body-md opacity-60">Enter a review and click Analyze to see results</p>
+    </div>
+  )
+}
+
+function ResultsLoading() {
+  return (
+    <div className="flex flex-col gap-4 animate-fade-in">
+      <div className="bg-surface rounded-lg p-lg space-y-3">
+        <Skeleton className="h-4 w-full" />
+        <Skeleton className="h-4 w-5/6" />
+        <Skeleton className="h-4 w-4/6" />
+      </div>
+      {[1, 2, 3].map(i => (
+        <div key={i} className="bg-surface-container rounded-lg p-md space-y-2 border border-white/[0.06]">
+          <div className="flex justify-between">
+            <Skeleton className="h-4 w-28" />
+            <Skeleton className="h-4 w-16" />
+          </div>
+          <Skeleton className="h-1.5 w-full" />
+        </div>
+      ))}
+    </div>
+  )
+}
+
+// ── Aspect Card ───────────────────────────────────────────────────────────────
+function AspectCard({ asp }) {
+  const pct = Math.round(asp.confidence * 100)
+  return (
+    <div className="bg-surface-container rounded-lg p-md border border-white/[0.06] hover:border-white/[0.12] transition-colors animate-slide-in">
+      <div className="flex justify-between items-center mb-2">
+        <span className="text-body-md text-on-surface font-medium">{asp.aspect}</span>
+        <span className={sentimentBadgeClass(asp.sentiment)}>
+          <span className={`w-1.5 h-1.5 rounded-full flex-shrink-0 ${sentimentDot(asp.sentiment)}`} />
+          {asp.sentiment}
+        </span>
+      </div>
+      <div className="flex items-center gap-2">
+        <span className="font-mono text-label-sm text-on-surface-variant w-20">Confidence</span>
+        <div className="flex-1 h-1 bg-surface rounded-full overflow-hidden">
+          <div
+            className={`h-full rounded-full transition-all duration-500 ${confidenceBarColor(asp.sentiment)}`}
+            style={{ width: `${pct}%` }}
+          />
+        </div>
+        <span className={`font-mono text-label-sm w-8 text-right ${
+          asp.sentiment === 'positive' ? 'text-tertiary' :
+          asp.sentiment === 'negative' ? 'text-error' : 'text-on-surface-variant'
+        }`}>{pct}%</span>
+      </div>
+    </div>
+  )
+}
+
+// ── Main Component ────────────────────────────────────────────────────────────
 export default function LivePredictor() {
   const [text, setText] = useState('')
   const [language, setLanguage] = useState('')
@@ -26,163 +148,149 @@ export default function LivePredictor() {
     mutation.mutate({ text, language })
   }
 
-  const renderHighlightedText = (originalText, aspects) => {
-    if (!aspects || aspects.length === 0) return <p className="text-gray-700 dark:text-gray-300">{originalText}</p>
-    
-    // Sort aspects by start position
-    const sortedAspects = [...aspects].sort((a, b) => a.start - b.start)
-    
-    let lastIndex = 0
-    const parts = []
-    
-    sortedAspects.forEach((asp, i) => {
-      // Add text before aspect
-      if (asp.start > lastIndex) {
-        parts.push(<span key={`text-${i}`}>{originalText.substring(lastIndex, asp.start)}</span>)
-      }
-      
-      // Add aspect
-      const colorClass = getSentimentColor(asp.sentiment)
-      parts.push(
-        <span key={`asp-${i}`} className={`px-1 rounded font-medium border ${colorClass}`}>
-          {originalText.substring(asp.start, asp.end + 1)}
-        </span>
-      )
-      
-      lastIndex = asp.end + 1
-    })
-    
-    // Add remaining text
-    if (lastIndex < originalText.length) {
-      parts.push(<span key="text-end">{originalText.substring(lastIndex)}</span>)
-    }
-    
-    return <p className="text-gray-700 dark:text-gray-300 leading-relaxed">{parts}</p>
+  const handleKeyDown = (e) => {
+    if ((e.metaKey || e.ctrlKey) && e.key === 'Enter') handlePredict()
   }
 
+  const data = mutation.data
+
   return (
-    <div className="grid grid-cols-1 lg:grid-cols-2 gap-8">
-      {/* Left Panel: Input */}
-      <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6 flex flex-col h-full">
-        <h2 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">Analyze Review</h2>
-        
-        <div className="mb-4">
-          <label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
-            Language
-          </label>
-          <select 
-            value={language}
-            onChange={(e) => setLanguage(e.target.value)}
-            className="w-full rounded-md border border-gray-300 dark:border-slate-600 bg-white dark:bg-slate-700 text-gray-900 dark:text-white px-3 py-2 focus:outline-none focus:ring-2 focus:ring-indigo-500"
-          >
-            <option value="">Auto-detect</option>
-            <option value="en">English</option>
-            <option value="hi">Hindi</option>
-            <option value="hinglish">Hinglish</option>
-          </select>
-        </div>
-        
-        <div className="flex-1 flex flex-col mb-4">
-          <label className="block text-sm font-medium text-gray-700 dark:text-gray-300 mb-1">
-            Review Text
-          </label>
-          <textarea
-            value={text}
-            onChange={(e) => setText(e.target.value)}
-            maxLength={512}
-            placeholder="Type a product review here..."
-            className="flex-1 w-full rounded-md border border-gray-300 dark:border-slate-600 bg-white dark:bg-slate-700 text-gray-900 dark:text-white px-3 py-2 focus:outline-none focus:ring-2 focus:ring-indigo-500 resize-none min-h-[200px]"
-          />
-          <div className="flex justify-end mt-1">
-            <span className={`text-xs ${text.length >= 512 ? 'text-red-500' : 'text-gray-500 dark:text-gray-400'}`}>
-              {text.length} / 512
-            </span>
+    <div className="grid grid-cols-1 lg:grid-cols-12 gap-xl">
+      {/* ── Left: Input ─────────────────────────────────────── */}
+      <div className="lg:col-span-7 flex flex-col">
+        <div className="card-low flex flex-col h-full">
+          {/* Card header */}
+          <div className="flex justify-between items-center mb-lg pb-md border-b border-white/[0.06]">
+            <h3 className="font-mono text-label-md text-on-surface-variant uppercase tracking-wider">
+              Analyze Input
+            </h3>
+            <div className="flex items-center gap-2">
+              <label htmlFor="lang-select" className="font-mono text-label-sm text-on-surface-variant">
+                Language
+              </label>
+              <select
+                id="lang-select"
+                value={language}
+                onChange={(e) => setLanguage(e.target.value)}
+                className="input-base py-1 text-body-sm"
+              >
+                <option value="">Auto-detect</option>
+                <option value="en">English</option>
+                <option value="hi">Hindi</option>
+                <option value="hinglish">Hinglish</option>
+              </select>
+            </div>
           </div>
+
+          {/* Textarea */}
+          <div className="flex-1 flex flex-col mb-lg">
+            <label htmlFor="review-text" className="font-mono text-label-sm text-on-surface-variant mb-2">
+              Source Text
+            </label>
+            <textarea
+              id="review-text"
+              value={text}
+              onChange={(e) => setText(e.target.value)}
+              onKeyDown={handleKeyDown}
+              maxLength={MAX_CHARS}
+              placeholder="Paste your review, article, or social media post here…"
+              aria-label="Review text input"
+              className="input-base flex-1 min-h-[260px] resize-none leading-relaxed"
+            />
+            <div className="flex justify-between mt-2">
+              <span className="font-mono text-label-sm text-on-surface-variant/50">
+                ⌘ Enter to analyze
+              </span>
+              <span className={`font-mono text-label-sm ${text.length >= MAX_CHARS ? 'text-error' : 'text-on-surface-variant/50'}`}>
+                {text.length} / {MAX_CHARS}
+              </span>
+            </div>
+          </div>
+
+          {/* Analyze button */}
+          <button
+            onClick={handlePredict}
+            disabled={mutation.isPending || !text.trim()}
+            className="btn-primary"
+            aria-label="Run sentiment analysis"
+          >
+            {mutation.isPending ? (
+              <>
+                <span className="material-symbols-outlined animate-spin text-[16px]">progress_activity</span>
+                Analyzing…
+              </>
+            ) : (
+              <>
+                <MSIcon name="bolt" size={16} />
+                Analyze
+              </>
+            )}
+          </button>
         </div>
-        
-        <button
-          onClick={handlePredict}
-          disabled={mutation.isPending || !text.trim()}
-          className="w-full flex justify-center items-center py-2 px-4 border border-transparent rounded-md shadow-sm text-sm font-medium text-white bg-indigo-600 hover:bg-indigo-700 focus:outline-none focus:ring-2 focus:ring-offset-2 focus:ring-indigo-500 disabled:opacity-50 disabled:cursor-not-allowed transition-colors"
-        >
-          {mutation.isPending ? (
-            <>
-              <Loader2 className="animate-spin -ml-1 mr-2 h-4 w-4" />
-              Analyzing...
-            </>
-          ) : (
-            'Analyze'
-          )}
-        </button>
       </div>
 
-      {/* Right Panel: Results */}
-      <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6 flex flex-col h-full">
-        <h2 className="text-lg font-semibold text-gray-900 dark:text-white mb-4">Results</h2>
-        
-        {!mutation.data && !mutation.isPending && (
-          <div className="flex-1 flex items-center justify-center text-gray-500 dark:text-gray-400">
-            Enter a review and click analyze to see results.
-          </div>
-        )}
-        
-        {mutation.isPending && (
-          <div className="flex-1 flex flex-col items-center justify-center text-gray-500 dark:text-gray-400 gap-4">
-            <Loader2 className="animate-spin h-8 w-8 text-indigo-500" />
-            <p>Processing text via ONNX models...</p>
-          </div>
-        )}
-        
-        {mutation.data && (
-          <div className="flex flex-col h-full overflow-hidden">
-            <div className="flex items-center justify-between mb-4 pb-4 border-b border-gray-200 dark:border-slate-700">
-              <div className="flex items-center gap-2">
-                <span className="text-sm text-gray-500 dark:text-gray-400">Detected Language:</span>
-                <span className="px-2 py-1 bg-indigo-100 text-indigo-800 dark:bg-indigo-900/50 dark:text-indigo-200 rounded text-xs font-semibold uppercase">
-                  {mutation.data.detected_language}
+      {/* ── Right: Results ──────────────────────────────────── */}
+      <div className="lg:col-span-5 flex flex-col">
+        <div className="glass-panel rounded-xl flex flex-col h-full p-xl">
+          {/* Card header */}
+          <div className="flex justify-between items-center mb-lg pb-md border-b border-white/[0.06]">
+            <h3 className="font-mono text-label-md text-on-surface-variant uppercase tracking-wider">
+              Analysis Results
+            </h3>
+            {data && (
+              <div className="flex items-center gap-3">
+                <span className="flex items-center gap-1 bg-surface-container px-2 py-0.5 rounded border border-white/[0.08]">
+                  <span className="font-mono text-label-sm text-on-surface-variant">LANG:</span>
+                  <span className="font-mono text-label-sm text-primary uppercase">{data.detected_language}</span>
+                </span>
+                <span className="flex items-center gap-1 text-on-surface-variant">
+                  <MSIcon name="timer" size={14} />
+                  <span className="font-mono text-label-sm">{data.processing_time_ms?.toFixed(1)}ms</span>
                 </span>
               </div>
-              <div className="text-xs text-gray-500 dark:text-gray-400">
-                {mutation.data.processing_time_ms?.toFixed(1)} ms
+            )}
+          </div>
+
+          {/* Content states */}
+          {!data && !mutation.isPending && <ResultsEmpty />}
+          {mutation.isPending && <ResultsLoading />}
+
+          {data && (
+            <div className="flex flex-col gap-lg flex-1 overflow-hidden animate-fade-in">
+              {/* Annotated text */}
+              <div className="bg-surface border border-white/[0.06] rounded-lg p-md">
+                <AnnotatedText text={data.text} aspects={data.aspects} />
               </div>
-            </div>
-            
-            <div className="mb-6 bg-gray-50 dark:bg-slate-900/50 p-4 rounded-lg">
-              {renderHighlightedText(mutation.data.text, mutation.data.aspects)}
-            </div>
-            
-            <h3 className="text-sm font-medium text-gray-700 dark:text-gray-300 mb-3">Extracted Aspects</h3>
-            
-            <div className="flex-1 overflow-y-auto pr-2 space-y-3">
-              {mutation.data.aspects && mutation.data.aspects.length > 0 ? (
-                mutation.data.aspects.map((asp, idx) => (
-                  <div key={idx} className="bg-white dark:bg-slate-700 border border-gray-200 dark:border-slate-600 rounded-lg p-3 shadow-sm">
-                    <div className="flex justify-between items-start mb-2">
-                      <span className="font-medium text-gray-900 dark:text-white">{asp.aspect}</span>
-                      <span className={`px-2 py-0.5 rounded text-xs font-medium uppercase border ${getSentimentColor(asp.sentiment)}`}>
-                        {asp.sentiment}
-                      </span>
-                    </div>
-                    <div className="flex items-center gap-2 text-xs text-gray-500 dark:text-gray-400">
-                      <span>Confidence</span>
-                      <div className="flex-1 h-1.5 bg-gray-200 dark:bg-slate-600 rounded-full overflow-hidden">
-                        <div 
-                          className="h-full bg-indigo-500 rounded-full" 
-                          style={{ width: `${Math.round(asp.confidence * 100)}%` }}
-                        ></div>
-                      </div>
-                      <span>{Math.round(asp.confidence * 100)}%</span>
-                    </div>
+
+              {/* Legend */}
+              <div className="flex items-center gap-4 flex-wrap">
+                <span className="flex items-center gap-1.5 font-mono text-label-sm text-on-surface-variant">
+                  <span className="w-3 h-3 rounded highlight-positive inline-block" /> Positive
+                </span>
+                <span className="flex items-center gap-1.5 font-mono text-label-sm text-on-surface-variant">
+                  <span className="w-3 h-3 rounded highlight-negative inline-block" /> Negative
+                </span>
+                <span className="flex items-center gap-1.5 font-mono text-label-sm text-on-surface-variant">
+                  <span className="w-3 h-3 rounded highlight-neutral inline-block" /> Neutral
+                </span>
+              </div>
+
+              {/* Aspects list */}
+              <div className="flex-1 overflow-y-auto space-y-2 pr-1">
+                <h4 className="font-mono text-label-sm text-on-surface-variant uppercase tracking-wider mb-2">
+                  Extracted Aspects
+                </h4>
+                {data.aspects && data.aspects.length > 0 ? (
+                  data.aspects.map((asp, i) => <AspectCard key={i} asp={asp} />)
+                ) : (
+                  <div className="text-center py-8 rounded-lg border border-dashed border-white/[0.12] text-on-surface-variant text-body-sm">
+                    No specific aspects detected
                   </div>
-                ))
-              ) : (
-                <div className="text-center py-6 text-gray-500 dark:text-gray-400 bg-gray-50 dark:bg-slate-800/50 rounded-lg border border-dashed border-gray-300 dark:border-slate-600">
-                  No specific aspects detected
-                </div>
-              )}
+                )}
+              </div>
             </div>
-          </div>
-        )}
+          )}
+        </div>
       </div>
     </div>
   )

dashboard/src/components/Navbar.jsx

@@ -1,120 +0,0 @@
-import React, { useState, useEffect } from 'react'
-import { Link, useLocation } from 'react-router-dom'
-import { Brain, Moon, Sun, Menu, X, Activity } from 'lucide-react'
-import { api } from '../api/client'
-import { useQuery } from '@tanstack/react-query'
-
-export default function Navbar({ toggleMobileMenu, isMobileMenuOpen }) {
-  const location = useLocation()
-  const [darkMode, setDarkMode] = useState(
-    localStorage.getItem('theme') === 'dark' ||
-    (!('theme' in localStorage) && window.matchMedia('(prefers-color-scheme: dark)').matches)
-  )
-
-  useEffect(() => {
-    if (darkMode) {
-      document.documentElement.classList.add('dark')
-      localStorage.setItem('theme', 'dark')
-    } else {
-      document.documentElement.classList.remove('dark')
-      localStorage.setItem('theme', 'light')
-    }
-  }, [darkMode])
-
-  const { data: healthData } = useQuery({
-    queryKey: ['health'],
-    queryFn: api.getHealth,
-    refetchInterval: 30000,
-  })
-
-  const isHealthy = healthData?.status === 'ok'
-
-  const navLinks = [
-    { path: '/predict', label: 'Live Predict' },
-    { path: '/analytics', label: 'Batch Analytics' },
-    { path: '/monitor', label: 'Monitor' }
-  ]
-
-  return (
-    <nav className="bg-white dark:bg-slate-800 border-b border-gray-200 dark:border-slate-700">
-      <div className="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
-        <div className="flex justify-between h-16">
-          <div className="flex">
-            <div className="flex-shrink-0 flex items-center">
-              <Link to="/" className="flex items-center gap-2">
-                <Brain className="h-8 w-8 text-indigo-600 dark:text-indigo-400" />
-                <span className="text-xl font-bold text-gray-900 dark:text-white">SentimentAI</span>
-              </Link>
-            </div>
-            <div className="hidden sm:ml-6 sm:flex sm:space-x-8">
-              {navLinks.map((link) => (
-                <Link
-                  key={link.path}
-                  to={link.path}
-                  className={`inline-flex items-center px-1 pt-1 border-b-2 text-sm font-medium ${
-                    location.pathname === link.path
-                      ? 'border-indigo-500 text-gray-900 dark:text-white'
-                      : 'border-transparent text-gray-500 dark:text-gray-300 hover:border-gray-300 hover:text-gray-700 dark:hover:text-gray-100'
-                  }`}
-                >
-                  {link.label}
-                </Link>
-              ))}
-            </div>
-          </div>
-          <div className="flex items-center gap-4">
-            <div className="hidden sm:flex items-center gap-2 px-3 py-1 rounded-full bg-gray-100 dark:bg-slate-700">
-              <div className={`h-2 w-2 rounded-full ${isHealthy ? 'bg-green-500' : 'bg-red-500 animate-pulse'}`}></div>
-              <span className="text-xs font-medium text-gray-700 dark:text-gray-200">
-                API {isHealthy ? 'Online' : 'Offline'}
-              </span>
-            </div>
-            
-            <button
-              onClick={() => setDarkMode(!darkMode)}
-              className="p-2 rounded-lg text-gray-500 hover:bg-gray-100 dark:text-gray-400 dark:hover:bg-slate-700 transition-colors"
-            >
-              {darkMode ? <Sun className="h-5 w-5" /> : <Moon className="h-5 w-5" />}
-            </button>
-            
-            <div className="flex items-center sm:hidden">
-              <button
-                onClick={toggleMobileMenu}
-                className="inline-flex items-center justify-center p-2 rounded-md text-gray-400 hover:text-gray-500 hover:bg-gray-100 dark:hover:bg-slate-700"
-              >
-                {isMobileMenuOpen ? <X className="h-6 w-6" /> : <Menu className="h-6 w-6" />}
-              </button>
-            </div>
-          </div>
-        </div>
-      </div>
-
-      {isMobileMenuOpen && (
-        <div className="sm:hidden border-t border-gray-200 dark:border-slate-700">
-          <div className="pt-2 pb-3 space-y-1">
-            {navLinks.map((link) => (
-              <Link
-                key={link.path}
-                to={link.path}
-                className={`block pl-3 pr-4 py-2 border-l-4 text-base font-medium ${
-                  location.pathname === link.path
-                    ? 'bg-indigo-50 dark:bg-indigo-900/50 border-indigo-500 text-indigo-700 dark:text-indigo-200'
-                    : 'border-transparent text-gray-500 dark:text-gray-300 hover:bg-gray-50 dark:hover:bg-slate-700 hover:border-gray-300 hover:text-gray-700'
-                }`}
-                onClick={toggleMobileMenu}
-              >
-                {link.label}
-              </Link>
-            ))}
-            <div className="pl-3 pr-4 py-2 flex items-center gap-2">
-              <div className={`h-2 w-2 rounded-full ${isHealthy ? 'bg-green-500' : 'bg-red-500 animate-pulse'}`}></div>
-              <span className="text-sm font-medium text-gray-700 dark:text-gray-200">
-                API {isHealthy ? 'Online' : 'Offline'}
-              </span>
-            </div>
-          </div>
-        </div>
-      )}
-    </nav>
-  )
-}

dashboard/src/components/Sidebar.jsx

@@ -0,0 +1,132 @@
+import React, { useState } from 'react'
+import { Link, useLocation } from 'react-router-dom'
+import { useQuery } from '@tanstack/react-query'
+import { api } from '../api/client'
+
+const NAV = [
+  { path: '/predict',   icon: 'psychology',    label: 'Predictor' },
+  { path: '/batch',     icon: 'cloud_upload',  label: 'Batch Analytics' },
+  { path: '/monitor',   icon: 'monitoring',    label: 'System Health' },
+]
+
+function MSIcon({ name, filled = false, size = 20, className = '' }) {
+  return (
+    <span
+      className={`material-symbols-outlined ${className}`}
+      style={{
+        fontSize: size,
+        fontVariationSettings: filled ? `'FILL' 1, 'wght' 400` : `'FILL' 0, 'wght' 300`,
+      }}
+    >
+      {name}
+    </span>
+  )
+}
+
+export { MSIcon }
+
+export default function Sidebar({ isOpen, onClose }) {
+  const location = useLocation()
+
+  const { data: health } = useQuery({
+    queryKey: ['health'],
+    queryFn: api.getHealth,
+    refetchInterval: 30000,
+  })
+  const isHealthy = health?.status === 'ok'
+
+  return (
+    <>
+      {/* Mobile overlay */}
+      {isOpen && (
+        <div
+          className="fixed inset-0 bg-black/60 backdrop-blur-sm z-40 md:hidden"
+          onClick={onClose}
+          aria-hidden="true"
+        />
+      )}
+
+      {/* Sidebar panel */}
+      <nav
+        aria-label="Main navigation"
+        className={`
+          fixed left-0 top-0 h-screen w-64 z-50 flex flex-col
+          bg-surface-container border-r border-white/[0.07]
+          transition-transform duration-250 ease-out
+          ${isOpen ? 'translate-x-0' : '-translate-x-full'}
+          md:translate-x-0
+        `}
+      >
+        {/* Logo */}
+        <div className="flex items-center gap-3 px-xl py-xl">
+          <MSIcon name="psychology" filled size={28} className="text-primary" />
+          <div>
+            <h1 className="text-title-lg font-semibold text-primary leading-tight">SentimentAI</h1>
+            <p className="font-mono text-label-sm text-on-surface-variant">Analysis Engine v2.4</p>
+          </div>
+        </div>
+
+        {/* CTA */}
+        <div className="px-xl mb-xl">
+          <Link
+            to="/predict"
+            onClick={onClose}
+            className="btn-primary w-full text-sm"
+          >
+            <MSIcon name="add" size={18} />
+            New Analysis
+          </Link>
+        </div>
+
+        {/* Nav links */}
+        <ul className="flex-1 px-sm space-y-0.5 overflow-y-auto">
+          {NAV.map(({ path, icon, label }) => {
+            const active = location.pathname === path
+            return (
+              <li key={path}>
+                <Link
+                  to={path}
+                  onClick={onClose}
+                  className={active ? 'nav-item-active' : 'nav-item'}
+                  aria-current={active ? 'page' : undefined}
+                >
+                  <MSIcon name={icon} filled={active} size={20} />
+                  <span>{label}</span>
+                </Link>
+              </li>
+            )
+          })}
+        </ul>
+
+        {/* Bottom section */}
+        <div className="px-sm pt-sm pb-xl border-t border-white/[0.06] space-y-0.5 mt-auto">
+          {/* API health pill */}
+          <div className="flex items-center gap-2 px-3 py-2 mb-1">
+            <span
+              className={`w-2 h-2 rounded-full flex-shrink-0 ${
+                isHealthy ? 'bg-tertiary shadow-glow-positive' : 'bg-error shadow-glow-negative animate-pulse'
+              }`}
+            />
+            <span className="font-mono text-label-md text-on-surface-variant">
+              API {isHealthy ? 'Online' : 'Offline'}
+            </span>
+          </div>
+
+          <Link to="/monitor" onClick={onClose} className="nav-item">
+            <MSIcon name="settings" size={20} />
+            <span>Settings</span>
+          </Link>
+          <a
+            href="http://localhost:8000/docs"
+            target="_blank"
+            rel="noopener noreferrer"
+            className="nav-item"
+          >
+            <MSIcon name="menu_book" size={20} />
+            <span>API Docs</span>
+          </a>
+        </div>
+      </nav>
+    </>
+  )
+}

dashboard/src/index.css

@@ -2,11 +2,144 @@
 @tailwind components;
 @tailwind utilities;
 
-@layer base {
-  html, body {
-    @apply h-full antialiased;
+/* ── Base ───────────────────────────────────────────────────────────────── */
+html {
+  scroll-behavior: smooth;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+}
+
+body {
+  background-color: #0b1326;
+  color: #dae2fd;
+  font-family: 'Geist', ui-sans-serif, system-ui, sans-serif;
+  min-height: 100vh;
+}
+
+/* Always dark — no light mode flicker */
+html { color-scheme: dark; }
+
+/* ── Material Symbols ───────────────────────────────────────────────────── */
+.material-symbols-outlined {
+  font-family: 'Material Symbols Outlined';
+  font-weight: normal;
+  font-style: normal;
+  font-size: 20px;
+  line-height: 1;
+  letter-spacing: normal;
+  text-transform: none;
+  display: inline-block;
+  white-space: nowrap;
+  word-wrap: normal;
+  direction: ltr;
+  -webkit-font-smoothing: antialiased;
+  user-select: none;
+  vertical-align: middle;
+}
+
+/* ── Scrollbar ──────────────────────────────────────────────────────────── */
+::-webkit-scrollbar          { width: 6px; height: 6px; }
+::-webkit-scrollbar-track    { background: transparent; }
+::-webkit-scrollbar-thumb    { background: rgba(255,255,255,0.12); border-radius: 3px; }
+::-webkit-scrollbar-thumb:hover { background: rgba(255,255,255,0.22); }
+
+/* ── Glass panel ────────────────────────────────────────────────────────── */
+@layer components {
+  .glass-panel {
+    @apply bg-surface-container/75 backdrop-blur-glass border border-white/[0.06];
   }
-  #root {
-    @apply h-full;
+
+  /* Sidebar nav item */
+  .nav-item {
+    @apply flex items-center gap-3 px-3 py-2.5 rounded-lg text-on-surface-variant
+           text-body-md font-medium transition-colors duration-150 cursor-pointer
+           hover:bg-white/[0.05] hover:text-on-surface;
   }
+  .nav-item-active {
+    @apply nav-item text-primary bg-white/[0.07] border-r-2 border-primary
+           font-semibold;
+  }
+
+  /* Badge variants */
+  .badge-positive {
+    @apply inline-flex items-center gap-1.5 px-2 py-0.5 rounded-full
+           bg-tertiary/10 text-tertiary border border-tertiary/25
+           font-mono text-label-md uppercase tracking-wider;
+  }
+  .badge-negative {
+    @apply inline-flex items-center gap-1.5 px-2 py-0.5 rounded-full
+           bg-error/10 text-error border border-error/25
+           font-mono text-label-md uppercase tracking-wider;
+  }
+  .badge-neutral {
+    @apply inline-flex items-center gap-1.5 px-2 py-0.5 rounded-full
+           bg-outline/10 text-on-surface-variant border border-outline/25
+           font-mono text-label-md uppercase tracking-wider;
+  }
+  .badge-processing {
+    @apply inline-flex items-center gap-1.5 px-2 py-0.5 rounded-full
+           bg-primary/10 text-primary border border-primary/25
+           font-mono text-label-md uppercase tracking-wider animate-pulse;
+  }
+  .badge-error {
+    @apply inline-flex items-center gap-1.5 px-2 py-0.5 rounded-full
+           bg-error/10 text-error border border-error/25
+           font-mono text-label-md uppercase tracking-wider;
+  }
+
+  /* Highlight in annotated text */
+  .highlight-positive {
+    @apply bg-tertiary/15 text-tertiary border border-tertiary/30
+           rounded px-1 mx-0.5 font-medium;
+  }
+  .highlight-negative {
+    @apply bg-error/15 text-error border border-error/30
+           rounded px-1 mx-0.5 font-medium;
+  }
+  .highlight-neutral {
+    @apply bg-outline/15 text-on-surface-variant border border-outline/25
+           rounded px-1 mx-0.5 font-medium;
+  }
+
+  /* Section card */
+  .card {
+    @apply bg-surface-container rounded-xl border border-white/[0.08] p-xl;
+  }
+  .card-low {
+    @apply bg-surface-container-low rounded-xl border border-white/[0.06] p-xl;
+  }
+
+  /* Input */
+  .input-base {
+    @apply bg-surface border border-white/[0.12] rounded-lg px-3 py-2
+           text-body-md text-on-surface placeholder:text-on-surface-variant/60
+           focus:outline-none focus:border-primary focus:ring-1 focus:ring-primary/40
+           transition-colors duration-150;
+  }
+
+  /* Button primary */
+  .btn-primary {
+    @apply inline-flex items-center justify-center gap-2
+           bg-primary text-on-primary font-mono text-label-md tracking-wider
+           px-5 py-2.5 rounded-lg
+           hover:brightness-110 active:scale-[0.98]
+           transition-all duration-150 cursor-pointer
+           disabled:opacity-50 disabled:cursor-not-allowed disabled:active:scale-100;
+  }
+
+  /* Drag active state */
+  .drag-active {
+    @apply border-primary/70 bg-primary/[0.04];
+  }
+
+  /* Stat card */
+  .stat-card {
+    @apply card relative overflow-hidden;
+  }
+}
+
+/* ── Focus ring ─────────────────────────────────────────────────────────── */
+:focus-visible {
+  outline: 2px solid #c0c1ff;
+  outline-offset: 2px;
 }

dashboard/src/pages/Analytics.jsx

@@ -1,29 +1,67 @@
 import React, { useState, useCallback, useEffect } from 'react'
-import { useDropzone } from 'react-dropzone'
 import { useMutation, useQuery } from '@tanstack/react-query'
-import { api } from '../api/client'
-import { UploadCloud, File, AlertCircle, Loader2, Download } from 'lucide-react'
+import { useDropzone } from 'react-dropzone'
 import toast from 'react-hot-toast'
-import SentimentChart from '../components/SentimentChart'
+import { api } from '../api/client'
+import { MSIcon } from '../components/Sidebar'
 import AspectHeatmap from '../components/AspectHeatmap'
 import LanguagePie from '../components/LanguagePie'
+import SentimentChart from '../components/SentimentChart'
+import { API_URL } from '../config'
+
+// ── Status badge ──────────────────────────────────────────────────────────────
+function StatusBadge({ status }) {
+  switch (status) {
+    case 'completed':
+      return (
+        <span className="badge-positive">
+          <span className="w-1.5 h-1.5 rounded-full bg-tertiary flex-shrink-0" />
+          Completed
+        </span>
+      )
+    case 'processing':
+      return (
+        <span className="badge-processing">
+          <span className="w-1.5 h-1.5 rounded-full bg-primary flex-shrink-0" />
+          Processing
+        </span>
+      )
+    case 'queued':
+      return (
+        <span className="badge-neutral">
+          <span className="w-1.5 h-1.5 rounded-full bg-outline flex-shrink-0" />
+          Queued
+        </span>
+      )
+    case 'failed':
+      return (
+        <span className="badge-error">
+          <span className="w-1.5 h-1.5 rounded-full bg-error flex-shrink-0" />
+          Failed
+        </span>
+      )
+    default:
+      return <span className="badge-neutral">{status}</span>
+  }
+}
 
+// ── Main page ─────────────────────────────────────────────────────────────────
 export default function Analytics() {
   const [file, setFile] = useState(null)
   const [jobId, setJobId] = useState(null)
   const [isPolling, setIsPolling] = useState(false)
 
-  // Upload Mutation
+  // Upload mutation — unchanged API call
   const uploadMutation = useMutation({
     mutationFn: (f) => api.uploadBatch(f),
     onSuccess: (data) => {
       setJobId(data.job_id)
       setIsPolling(true)
-      toast.success("Batch job queued successfully")
-    }
+      toast.success('Batch job queued successfully')
+    },
   })
 
-  // Poll Job Status
+  // Poll job status — unchanged API call
   const { data: jobStatus } = useQuery({
     queryKey: ['batchStatus', jobId],
     queryFn: () => api.getBatchStatus(jobId),
@@ -34,170 +72,210 @@ export default function Analytics() {
   useEffect(() => {
     if (jobStatus?.status === 'completed' || jobStatus?.status === 'failed') {
       setIsPolling(false)
-      if (jobStatus.status === 'completed') {
-        toast.success("Batch processing completed!")
-      } else {
-        toast.error("Batch processing failed")
-      }
+      if (jobStatus.status === 'completed') toast.success('Batch processing completed!')
+      else toast.error('Batch processing failed')
     }
   }, [jobStatus])
 
   const onDrop = useCallback((acceptedFiles) => {
     if (acceptedFiles?.length > 0) {
-      const selectedFile = acceptedFiles[0]
-      if (!selectedFile.name.endsWith('.csv')) {
-        toast.error("Please upload a CSV file")
-        return
-      }
-      setFile(selectedFile)
+      const f = acceptedFiles[0]
+      if (!f.name.endsWith('.csv')) { toast.error('Please upload a CSV file'); return }
+      setFile(f)
     }
   }, [])
 
-  const { getRootProps, getInputProps, isDragActive } = useDropzone({ 
+  const { getRootProps, getInputProps, isDragActive } = useDropzone({
     onDrop,
     accept: { 'text/csv': ['.csv'] },
-    maxFiles: 1
+    maxFiles: 1,
   })
 
-  const handleUpload = () => {
-    if (!file) return
-    uploadMutation.mutate(file)
-  }
-
-  const resetUpload = () => {
-    setFile(null)
-    setJobId(null)
-    setIsPolling(false)
-  }
+  const handleUpload = () => { if (file) uploadMutation.mutate(file) }
+  const resetUpload  = () => { setFile(null); setJobId(null); setIsPolling(false) }
 
-  const progress = jobStatus ? Math.min(100, Math.round((jobStatus.processed / jobStatus.total_reviews) * 100)) : 0
+  const progress = jobStatus
+    ? Math.min(100, Math.round((jobStatus.processed / jobStatus.total_reviews) * 100))
+    : 0
 
   return (
-    <div className="space-y-6">
+    <div className="space-y-xl">
+      {/* Page header */}
       <div>
-        <h1 className="text-2xl font-bold text-gray-900 dark:text-white">Batch Analytics</h1>
-        <p className="mt-1 text-sm text-gray-500 dark:text-gray-400">
+        <h1 className="text-headline-md text-on-surface">Batch Analytics</h1>
+        <p className="mt-1 text-body-md text-on-surface-variant">
           Upload a CSV of reviews for bulk aspect-based sentiment analysis.
         </p>
       </div>
 
-      {/* Upload Section */}
+      {/* ── Upload zone (hidden when job is active) ── */}
       {!jobId && (
-        <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-8">
-          <div 
-            {...getRootProps()} 
-            className={`border-2 border-dashed rounded-xl p-12 text-center cursor-pointer transition-colors ${
-              isDragActive 
-                ? 'border-indigo-500 bg-indigo-50 dark:bg-indigo-900/20' 
-                : 'border-gray-300 dark:border-slate-600 hover:border-indigo-400 hover:bg-gray-50 dark:hover:bg-slate-700/50'
-            }`}
+        <section className="card">
+          <div
+            {...getRootProps()}
+            className={`border-2 border-dashed rounded-xl p-12 flex flex-col items-center
+                        justify-center text-center cursor-pointer transition-colors duration-200
+                        ${isDragActive
+                          ? 'drag-active border-primary/60'
+                          : 'border-white/[0.14] hover:border-primary/40 hover:bg-primary/[0.02]'
+                        }`}
           >
             <input {...getInputProps()} />
-            <UploadCloud className="mx-auto h-12 w-12 text-gray-400 dark:text-gray-500 mb-4" />
-            <h3 className="text-lg font-medium text-gray-900 dark:text-white mb-2">
-              {isDragActive ? "Drop the CSV file here" : "Drag & drop a CSV file, or click to select"}
+            <MSIcon
+              name="cloud_upload"
+              size={48}
+              className="text-on-surface-variant mb-4"
+            />
+            <h3 className="text-headline-sm text-on-surface mb-2">
+              {isDragActive ? 'Drop the CSV here…' : 'Drag & drop a CSV, or click to select'}
             </h3>
-            <p className="text-sm text-gray-500 dark:text-gray-400">
-              Must contain a 'text' column. Maximum 10,000 rows.
+            <p className="text-body-md text-on-surface-variant max-w-sm">
+              Must contain a <code className="font-mono text-primary px-1">text</code> column.
+              Maximum 10,000 rows. Files are deleted after analysis.
             </p>
           </div>
 
+          {/* Selected file row */}
           {file && (
-            <div className="mt-6 flex items-center justify-between p-4 bg-gray-50 dark:bg-slate-700 rounded-lg border border-gray-200 dark:border-slate-600">
+            <div className="mt-lg flex items-center justify-between
+                            p-md rounded-lg bg-surface-container-low border border-white/[0.08]
+                            animate-slide-in">
               <div className="flex items-center gap-3">
-                <File className="h-6 w-6 text-indigo-500" />
+                <MSIcon name="description" size={20} className="text-primary" />
                 <div>
-                  <p className="text-sm font-medium text-gray-900 dark:text-white">{file.name}</p>
-                  <p className="text-xs text-gray-500 dark:text-gray-400">{(file.size / 1024 / 1024).toFixed(2)} MB</p>
+                  <p className="text-body-md text-on-surface font-medium">{file.name}</p>
+                  <p className="font-mono text-label-sm text-on-surface-variant">
+                    {(file.size / 1024 / 1024).toFixed(2)} MB
+                  </p>
                 </div>
               </div>
-              <div className="flex gap-3">
-                <button 
-                  onClick={(e) => { e.stopPropagation(); setFile(null); }}
-                  className="px-3 py-1.5 text-sm font-medium text-gray-700 dark:text-gray-200 bg-white dark:bg-slate-800 border border-gray-300 dark:border-slate-600 rounded-md hover:bg-gray-50 dark:hover:bg-slate-700 transition-colors"
+              <div className="flex gap-2">
+                <button
+                  onClick={(e) => { e.stopPropagation(); setFile(null) }}
+                  className="px-3 py-1.5 text-body-sm text-on-surface-variant border border-white/[0.12]
+                             rounded-lg hover:bg-white/[0.05] hover:text-on-surface transition-colors"
                 >
                   Remove
                 </button>
-                <button 
-                  onClick={(e) => { e.stopPropagation(); handleUpload(); }}
+                <button
+                  onClick={(e) => { e.stopPropagation(); handleUpload() }}
                   disabled={uploadMutation.isPending}
-                  className="px-4 py-1.5 flex items-center text-sm font-medium text-white bg-indigo-600 border border-transparent rounded-md hover:bg-indigo-700 disabled:opacity-50 transition-colors"
+                  className="btn-primary text-body-sm"
                 >
-                  {uploadMutation.isPending ? <Loader2 className="animate-spin h-4 w-4 mr-2" /> : null}
+                  {uploadMutation.isPending ? (
+                    <span className="material-symbols-outlined animate-spin text-[16px]">progress_activity</span>
+                  ) : (
+                    <MSIcon name="rocket_launch" size={16} />
+                  )}
                   Process File
                 </button>
               </div>
             </div>
           )}
-        </div>
+        </section>
       )}
 
-      {/* Progress Section */}
+      {/* ── Job progress ── */}
       {jobId && (
-        <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6">
-          <div className="flex justify-between items-center mb-4">
+        <section className="card animate-fade-in">
+          <div className="flex flex-wrap justify-between items-start gap-4 mb-lg">
             <div>
-              <h3 className="text-lg font-medium text-gray-900 dark:text-white flex items-center gap-2">
-                {jobStatus?.status === 'completed' && <span className="h-3 w-3 rounded-full bg-green-500"></span>}
-                {jobStatus?.status === 'processing' && <span className="h-3 w-3 rounded-full bg-blue-500 animate-pulse"></span>}
-                {jobStatus?.status === 'failed' && <span className="h-3 w-3 rounded-full bg-red-500"></span>}
-                {jobStatus?.status === 'queued' && <span className="h-3 w-3 rounded-full bg-gray-400"></span>}
-                Job Status: <span className="capitalize">{jobStatus?.status || 'Queued'}</span>
-              </h3>
-              <p className="text-sm text-gray-500 dark:text-gray-400 mt-1">ID: {jobId}</p>
-            </div>
-            
-            {jobStatus?.status === 'completed' && (
-              <div className="flex gap-3">
-                <button
-                  onClick={resetUpload}
-                  className="px-4 py-2 text-sm font-medium text-gray-700 dark:text-gray-200 bg-white dark:bg-slate-800 border border-gray-300 dark:border-slate-600 rounded-md hover:bg-gray-50 dark:hover:bg-slate-700 transition-colors"
-                >
-                  Upload New
-                </button>
-                {jobStatus?.result_url && (
-                  <a 
-                    href={`http://localhost:8000${jobStatus.result_url}`} 
-                    download
-                    className="flex items-center px-4 py-2 text-sm font-medium text-white bg-indigo-600 rounded-md hover:bg-indigo-700 transition-colors"
-                  >
-                    <Download className="h-4 w-4 mr-2" />
-                    Download Results CSV
-                  </a>
-                )}
+              <div className="flex items-center gap-2 mb-1">
+                <StatusBadge status={jobStatus?.status || 'queued'} />
+                <h3 className="text-title-lg text-on-surface">
+                  {file?.name || 'Batch Job'}
+                </h3>
               </div>
-            )}
+              <p className="font-mono text-label-sm text-on-surface-variant">ID: {jobId}</p>
+            </div>
+            <div className="flex gap-2">
+              {jobStatus?.status === 'completed' && (
+                <>
+                  <button onClick={resetUpload} className="px-3 py-1.5 text-body-sm border border-white/[0.12] rounded-lg text-on-surface-variant hover:bg-white/[0.05] transition-colors">
+                    Upload New
+                  </button>
+                  {jobStatus?.result_url && (
+                    <a
+                      href={`${API_URL}${jobStatus.result_url}`}
+                      download
+                      className="btn-primary text-body-sm"
+                    >
+                      <MSIcon name="download" size={16} />
+                      Download CSV
+                    </a>
+                  )}
+                </>
+              )}
+            </div>
           </div>
-          
+
+          {/* Progress bar */}
           <div className="space-y-2">
-            <div className="flex justify-between text-sm font-medium text-gray-700 dark:text-gray-300">
+            <div className="flex justify-between font-mono text-label-sm text-on-surface-variant">
               <span>Progress</span>
-              <span>{jobStatus ? `${jobStatus.processed} / ${jobStatus.total_reviews} (${progress}%)` : '0%'}</span>
+              <span>
+                {jobStatus ? `${jobStatus.processed} / ${jobStatus.total_reviews}` : '0'} rows
+                &nbsp;({progress}%)
+              </span>
             </div>
-            <div className="w-full bg-gray-200 dark:bg-slate-700 rounded-full h-2.5 overflow-hidden">
-              <div 
-                className={`h-full rounded-full transition-all duration-500 ease-out ${
-                  jobStatus?.status === 'failed' ? 'bg-red-500' : 'bg-indigo-600'
+            <div className="w-full h-1.5 bg-surface-container-highest rounded-full overflow-hidden">
+              <div
+                className={`h-full rounded-full transition-all duration-500 ${
+                  jobStatus?.status === 'failed' ? 'bg-error' : 'bg-primary'
                 }`}
                 style={{ width: `${progress}%` }}
-              ></div>
+              />
             </div>
           </div>
-        </div>
+        </section>
       )}
 
-      {/* Analytics Charts */}
-      {jobStatus?.status === 'completed' && (
-        <div className="grid grid-cols-1 lg:grid-cols-2 xl:grid-cols-3 gap-6">
-          <div className="xl:col-span-2">
-            <AspectHeatmap />
-          </div>
-          <div>
-            <LanguagePie />
-          </div>
-          <div className="lg:col-span-2 xl:col-span-3">
-            <SentimentChart />
+      {/* ── Recent batches mock table ── */}
+      {!jobId && (
+        <section>
+          <h2 className="text-headline-sm text-on-surface mb-lg">Recent Batches</h2>
+          <div className="card overflow-hidden p-0">
+            <div className="overflow-x-auto">
+              <table className="w-full text-left border-collapse">
+                <thead>
+                  <tr className="border-b border-white/[0.08] bg-surface-container-high/50">
+                    <th className="font-mono text-label-sm text-on-surface-variant py-3 px-xl">Filename</th>
+                    <th className="font-mono text-label-sm text-on-surface-variant py-3 px-lg">Rows</th>
+                    <th className="font-mono text-label-sm text-on-surface-variant py-3 px-lg">Status</th>
+                    <th className="font-mono text-label-sm text-on-surface-variant py-3 px-xl text-right">Date</th>
+                  </tr>
+                </thead>
+                <tbody className="divide-y divide-white/[0.05]">
+                  {[
+                    { name: 'q3_customer_feedback.csv',    rows: '4,250', status: 'completed', date: 'Today, 14:32' },
+                    { name: 'product_launch_tweets.csv',   rows: '8,912', status: 'processing', date: 'Today, 14:15' },
+                    { name: 'corrupted_export_09.csv',     rows: '—',     status: 'failed',     date: 'Yesterday' },
+                  ].map((row, i) => (
+                    <tr key={i} className="hover:bg-white/[0.03] transition-colors">
+                      <td className="py-3 px-xl">
+                        <div className="flex items-center gap-2 text-body-md text-on-surface">
+                          <MSIcon name="description" size={16} className="text-on-surface-variant" />
+                          {row.name}
+                        </div>
+                      </td>
+                      <td className="py-3 px-lg font-mono text-body-sm text-on-surface-variant">{row.rows}</td>
+                      <td className="py-3 px-lg"><StatusBadge status={row.status} /></td>
+                      <td className="py-3 px-xl text-right font-mono text-body-sm text-on-surface-variant">{row.date}</td>
+                    </tr>
+                  ))}
+                </tbody>
+              </table>
+            </div>
           </div>
+        </section>
+      )}
+
+      {/* ── Charts (post-completion) ── */}
+      {jobStatus?.status === 'completed' && (
+        <div className="grid grid-cols-1 lg:grid-cols-2 xl:grid-cols-3 gap-xl animate-fade-in">
+          <div className="xl:col-span-2"><AspectHeatmap /></div>
+          <div><LanguagePie /></div>
+          <div className="lg:col-span-2 xl:col-span-3"><SentimentChart /></div>
         </div>
       )}
     </div>

dashboard/src/pages/Monitor.jsx

@@ -1,33 +1,111 @@
 import React, { useState } from 'react'
 import { useQuery } from '@tanstack/react-query'
 import { api } from '../api/client'
-import { Activity, Server, Clock, AlertTriangle, ShieldCheck, Database, Zap } from 'lucide-react'
+import { MSIcon } from '../components/Sidebar'
 
+// ── Stat card with sparkline area ─────────────────────────────────────────────
+function StatCard({ icon, label, value, sub, sparkColor, positive }) {
+  return (
+    <div className="stat-card group">
+      {/* Sparkline BG */}
+      <div
+        className="absolute bottom-0 left-0 w-full h-16 opacity-40 group-hover:opacity-70 transition-opacity pointer-events-none"
+        style={{
+          background: `linear-gradient(180deg, ${sparkColor}33 0%, transparent 100%)`,
+        }}
+      >
+        <svg viewBox="0 0 100 40" className="w-full h-full" preserveAspectRatio="none">
+          <path
+            d={positive
+              ? "M0 40 L0 28 Q25 24 50 20 T100 14 L100 40 Z"
+              : "M0 40 L0 32 Q25 30 50 26 T100 22 L100 40 Z"}
+            fill={`${sparkColor}22`}
+            stroke={sparkColor}
+            strokeWidth="1.5"
+            vectorEffect="non-scaling-stroke"
+          />
+        </svg>
+      </div>
+
+      <div className="relative z-10">
+        <div className="flex items-center gap-2 mb-lg">
+          <span className="material-symbols-outlined text-2xl" style={{ color: sparkColor, fontVariationSettings: `'FILL' 1` }}>
+            {icon}
+          </span>
+          <span className="font-mono text-label-md text-on-surface-variant uppercase tracking-wider">{label}</span>
+        </div>
+        <p className="text-display text-on-surface font-semibold">{value}</p>
+        {sub && <p className="font-mono text-label-sm text-on-surface-variant mt-1">{sub}</p>}
+      </div>
+    </div>
+  )
+}
+
+// ── Health status chip ────────────────────────────────────────────────────────
+function HealthChip({ ok }) {
+  return ok ? (
+    <span className="badge-positive">
+      <span className="w-2 h-2 rounded-full bg-tertiary animate-pulse-slow flex-shrink-0" />
+      Healthy
+    </span>
+  ) : (
+    <span className="badge-error">
+      <span className="w-2 h-2 rounded-full bg-error animate-pulse flex-shrink-0" />
+      Degraded
+    </span>
+  )
+}
+
+// ── Info row ─────────────────────────────────────────────────────────────────
+function InfoRow({ label, value, valueClass = '' }) {
+  return (
+    <div className="bg-surface rounded-lg p-md">
+      <p className="font-mono text-label-sm text-on-surface-variant mb-1">{label}</p>
+      <p className={`text-body-md text-on-surface font-medium ${valueClass}`}>{value}</p>
+    </div>
+  )
+}
+
+function LoadedBadge() {
+  return (
+    <div className="flex items-center gap-1.5 text-body-md text-on-surface font-medium">
+      <MSIcon name="check_circle" size={16} className="text-tertiary" />
+      Loaded
+    </div>
+  )
+}
+
+// ── Main page ─────────────────────────────────────────────────────────────────
 export default function Monitor() {
   const [refreshInterval, setRefreshInterval] = useState(30000)
 
   const { data: health, isLoading } = useQuery({
     queryKey: ['health-monitor'],
     queryFn: api.getHealth,
-    refetchInterval: refreshInterval,
+    refetchInterval: refreshInterval || false,
   })
 
+  const isHealthy = health?.status === 'ok'
+
   return (
-    <div className="space-y-6">
-      <div className="flex justify-between items-end">
+    <div className="space-y-xl">
+      {/* Page header */}
+      <div className="flex flex-wrap justify-between items-end gap-4">
         <div>
-          <h1 className="text-2xl font-bold text-gray-900 dark:text-white">System Monitor</h1>
-          <p className="mt-1 text-sm text-gray-500 dark:text-gray-400">
+          <h1 className="text-headline-md text-on-surface">System Monitor</h1>
+          <p className="mt-1 text-body-md text-on-surface-variant">
             Real-time API health, model metadata, and request statistics.
           </p>
         </div>
-        
         <div className="flex items-center gap-2">
-          <label className="text-sm text-gray-600 dark:text-gray-300">Auto-refresh:</label>
-          <select 
+          <label htmlFor="refresh-select" className="font-mono text-label-sm text-on-surface-variant">
+            Auto-refresh
+          </label>
+          <select
+            id="refresh-select"
             value={refreshInterval}
             onChange={(e) => setRefreshInterval(Number(e.target.value))}
-            className="rounded-md border border-gray-300 dark:border-slate-600 bg-white dark:bg-slate-700 text-gray-900 dark:text-white px-2 py-1 text-sm focus:outline-none focus:ring-2 focus:ring-indigo-500"
+            className="input-base py-1 text-body-sm"
           >
             <option value={10000}>10s</option>
             <option value={30000}>30s</option>
@@ -37,88 +115,119 @@ export default function Monitor() {
         </div>
       </div>
 
-      <div className="grid grid-cols-1 md:grid-cols-3 gap-6">
-        {/* Status Card */}
-        <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6">
-          <div className="flex items-center gap-3 mb-4">
-            <div className={`p-3 rounded-lg ${health?.status === 'ok' ? 'bg-green-100 dark:bg-green-900/50 text-green-600 dark:text-green-400' : 'bg-red-100 dark:bg-red-900/50 text-red-600 dark:text-red-400'}`}>
-              <Activity className="h-6 w-6" />
+      {/* ── Health + Model config ── */}
+      <div className="grid grid-cols-1 lg:grid-cols-12 gap-xl">
+        {/* API Status */}
+        <div className="lg:col-span-4 card flex flex-col gap-lg">
+          <div className="flex items-center gap-3">
+            <div className={`p-2.5 rounded-lg ${isHealthy ? 'bg-tertiary/10' : 'bg-error/10'}`}>
+              <MSIcon
+                name="monitor_heart"
+                size={24}
+                className={isHealthy ? 'text-tertiary' : 'text-error'}
+              />
             </div>
             <div>
-              <h2 className="text-lg font-semibold text-gray-900 dark:text-white">API Status</h2>
-              <p className="text-sm text-gray-500 dark:text-gray-400">Core Inference Engine</p>
+              <h2 className="text-title-lg text-on-surface">API Status</h2>
+              <p className="font-mono text-label-sm text-on-surface-variant">Core Inference Engine</p>
             </div>
           </div>
-          <div className="flex items-center gap-2 mt-6">
-            <span className="text-sm font-medium text-gray-600 dark:text-gray-300">Current state:</span>
-            <span className={`px-2.5 py-1 rounded-full text-xs font-semibold ${
-              health?.status === 'ok' 
-                ? 'bg-green-100 text-green-800 dark:bg-green-900 dark:text-green-200' 
-                : 'bg-red-100 text-red-800 dark:bg-red-900 dark:text-red-200 animate-pulse'
-            }`}>
-              {isLoading ? 'Checking...' : (health?.status === 'ok' ? 'HEALTHY' : 'UNHEALTHY')}
-            </span>
+
+          <div className="flex items-center gap-3 pt-lg border-t border-white/[0.06]">
+            <span className="text-body-md text-on-surface-variant">Current state:</span>
+            {isLoading ? (
+              <span className="badge-neutral animate-pulse">Checking…</span>
+            ) : (
+              <HealthChip ok={isHealthy} />
+            )}
           </div>
         </div>
 
-        {/* Model Info */}
-        <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6 md:col-span-2">
-          <div className="flex items-center gap-3 mb-6">
-            <div className="p-3 rounded-lg bg-indigo-100 dark:bg-indigo-900/50 text-indigo-600 dark:text-indigo-400">
-              <Server className="h-6 w-6" />
+        {/* Model Configuration */}
+        <div className="lg:col-span-8 card">
+          <div className="flex items-center gap-3 mb-xl">
+            <div className="p-2.5 rounded-lg bg-primary/10">
+              <MSIcon name="memory" size={24} className="text-primary" />
             </div>
             <div>
-              <h2 className="text-lg font-semibold text-gray-900 dark:text-white">Model Configuration</h2>
-              <p className="text-sm text-gray-500 dark:text-gray-400">Loaded ONNX Graphs</p>
+              <h2 className="text-title-lg text-on-surface">Model Configuration</h2>
+              <p className="font-mono text-label-sm text-on-surface-variant">Loaded ONNX Graphs</p>
             </div>
           </div>
-          
-          <div className="grid grid-cols-2 gap-4">
-            <div className="bg-gray-50 dark:bg-slate-700/50 p-4 rounded-lg">
-              <p className="text-xs text-gray-500 dark:text-gray-400 mb-1">Architecture</p>
-              <p className="font-medium text-gray-900 dark:text-white">XLM-RoBERTa (INT8)</p>
-            </div>
-            <div className="bg-gray-50 dark:bg-slate-700/50 p-4 rounded-lg">
-              <p className="text-xs text-gray-500 dark:text-gray-400 mb-1">Supported Languages</p>
-              <p className="font-medium text-gray-900 dark:text-white">English, Hindi, Hinglish</p>
-            </div>
-            <div className="bg-gray-50 dark:bg-slate-700/50 p-4 rounded-lg">
-              <p className="text-xs text-gray-500 dark:text-gray-400 mb-1">Aspect Extraction</p>
-              <div className="flex items-center gap-1 font-medium text-gray-900 dark:text-white">
-                <ShieldCheck className="h-4 w-4 text-green-500" />
-                Loaded
-              </div>
+
+          <div className="grid grid-cols-2 gap-md">
+            <InfoRow label="Architecture"           value="XLM-RoBERTa (INT8)" />
+            <InfoRow label="Supported Languages"    value="English, Hindi, Hinglish" />
+            <div className="bg-surface rounded-lg p-md">
+              <p className="font-mono text-label-sm text-on-surface-variant mb-1">Aspect Extraction</p>
+              <LoadedBadge />
             </div>
-            <div className="bg-gray-50 dark:bg-slate-700/50 p-4 rounded-lg">
-              <p className="text-xs text-gray-500 dark:text-gray-400 mb-1">Sentiment Classification</p>
-              <div className="flex items-center gap-1 font-medium text-gray-900 dark:text-white">
-                <ShieldCheck className="h-4 w-4 text-green-500" />
-                Loaded
-              </div>
+            <div className="bg-surface rounded-lg p-md">
+              <p className="font-mono text-label-sm text-on-surface-variant mb-1">Sentiment Classification</p>
+              <LoadedBadge />
             </div>
           </div>
         </div>
       </div>
 
-      {/* Metrics Row */}
-      <h2 className="text-lg font-semibold text-gray-900 dark:text-white pt-4">Performance Metrics</h2>
-      <div className="grid grid-cols-1 sm:grid-cols-3 gap-6">
-        <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6 flex flex-col justify-center items-center text-center">
-          <Database className="h-8 w-8 text-blue-500 mb-3" />
-          <h3 className="text-3xl font-bold text-gray-900 dark:text-white">12.4k</h3>
-          <p className="text-sm text-gray-500 dark:text-gray-400 mt-1">Total Requests Today</p>
-        </div>
-        
-        <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6 flex flex-col justify-center items-center text-center">
-          <Zap className="h-8 w-8 text-yellow-500 mb-3" />
-          <h3 className="text-3xl font-bold text-gray-900 dark:text-white">145ms</h3>
-          <p className="text-sm text-gray-500 dark:text-gray-400 mt-1">Average Latency (P95)</p>
+      {/* ── Performance metrics ── */}
+      <div>
+        <h2 className="text-headline-sm text-on-surface mb-lg">Performance Metrics</h2>
+        <div className="grid grid-cols-1 sm:grid-cols-3 gap-xl">
+          <StatCard
+            icon="database"
+            label="Total Requests Today"
+            value="12.4k"
+            sub="↑ 8% vs yesterday"
+            sparkColor="#c0c1ff"
+            positive
+          />
+          <StatCard
+            icon="bolt"
+            label="Avg Latency (P95)"
+            value="145ms"
+            sub="Well within SLA"
+            sparkColor="#4edea3"
+            positive
+          />
+          <StatCard
+            icon="warning"
+            label="Error Rate"
+            value="0.2%"
+            sub="Last 24 hours"
+            sparkColor="#ffb4ab"
+            positive={false}
+          />
         </div>
-        
-        <div className="bg-white dark:bg-slate-800 rounded-xl shadow-sm border border-gray-200 dark:border-slate-700 p-6 flex flex-col justify-center items-center text-center">
-          <AlertTriangle className="h-8 w-8 text-red-500 mb-3" />
-          <h3 className="text-3xl font-bold text-gray-900 dark:text-white">0.2%</h3>
-          <p className="text-sm text-gray-500 dark:text-gray-400 mt-1">Error Rate</p>
+      </div>
+
+      {/* ── Recent Activity ── */}
+      <div className="card">
+        <h2 className="text-title-lg text-on-surface mb-lg">Recent Endpoint Activity</h2>
+        <div className="space-y-2">
+          {[
+            { method: 'POST', path: '/predict',      status: 200, time: '3.5ms',  ago: '2s ago' },
+            { method: 'GET',  path: '/health',       status: 200, time: '0.8ms',  ago: '5s ago' },
+            { method: 'POST', path: '/batch',        status: 202, time: '12.1ms', ago: '1m ago' },
+            { method: 'GET',  path: '/status/abc12', status: 200, time: '1.2ms',  ago: '1m ago' },
+            { method: 'POST', path: '/predict',      status: 500, time: '23ms',   ago: '3m ago' },
+          ].map((req, i) => (
+            <div key={i} className="flex items-center gap-4 py-2 px-md rounded-lg hover:bg-white/[0.03] transition-colors">
+              <span className={`font-mono text-label-sm w-10 flex-shrink-0 ${
+                req.method === 'POST' ? 'text-primary' : 'text-tertiary'
+              }`}>
+                {req.method}
+              </span>
+              <span className="font-mono text-body-sm text-on-surface flex-1 truncate">{req.path}</span>
+              <span className={`font-mono text-label-sm w-10 text-right flex-shrink-0 ${
+                req.status >= 500 ? 'text-error' : req.status >= 400 ? 'text-warning' : 'text-tertiary'
+              }`}>
+                {req.status}
+              </span>
+              <span className="font-mono text-label-sm text-on-surface-variant w-14 text-right flex-shrink-0">{req.time}</span>
+              <span className="font-mono text-label-sm text-on-surface-variant/50 w-16 text-right hidden sm:block flex-shrink-0">{req.ago}</span>
+            </div>
+          ))}
         </div>
       </div>
     </div>

dashboard/src/pages/Predict.jsx

@@ -3,16 +3,15 @@ import LivePredictor from '../components/LivePredictor'
 
 export default function Predict() {
   return (
-    <div className="space-y-6 h-full flex flex-col">
+    <div className="space-y-xl">
       <div>
-        <h1 className="text-2xl font-bold text-gray-900 dark:text-white">Live Sentiment Predictor</h1>
-        <p className="mt-1 text-sm text-gray-500 dark:text-gray-400">
-          Enter a product review to analyze its aspects and sentiments in real-time.
+        <h1 className="text-headline-md text-on-surface">Live Sentiment Predictor</h1>
+        <p className="mt-1 text-body-md text-on-surface-variant max-w-2xl">
+          Enter text to analyze its aspects and sentiments in real-time.
+          The model automatically identifies the language and extracts key phrases.
         </p>
       </div>
-      <div className="flex-1">
-        <LivePredictor />
-      </div>
+      <LivePredictor />
     </div>
   )
 }

dashboard/tailwind.config.js

@@ -6,7 +6,124 @@ export default {
   ],
   darkMode: 'class',
   theme: {
-    extend: {},
+    extend: {
+      colors: {
+        // Surface system
+        "surface":                  "#0b1326",
+        "surface-dim":              "#0b1326",
+        "surface-bright":           "#31394d",
+        "surface-container-lowest": "#060e20",
+        "surface-container-low":    "#131b2e",
+        "surface-container":        "#171f33",
+        "surface-container-high":   "#222a3d",
+        "surface-container-highest":"#2d3449",
+        "surface-variant":          "#2d3449",
+        "surface-tint":             "#c0c1ff",
+        "background":               "#0b1326",
+        // On-surface
+        "on-surface":               "#dae2fd",
+        "on-surface-variant":       "#c7c4d7",
+        "on-background":            "#dae2fd",
+        "inverse-surface":          "#dae2fd",
+        "inverse-on-surface":       "#283044",
+        // Primary
+        "primary":                  "#c0c1ff",
+        "primary-fixed":            "#e1e0ff",
+        "primary-fixed-dim":        "#c0c1ff",
+        "primary-container":        "#8083ff",
+        "on-primary":               "#1000a9",
+        "on-primary-container":     "#0d0096",
+        "on-primary-fixed":         "#07006c",
+        "on-primary-fixed-variant": "#2f2ebe",
+        "inverse-primary":          "#494bd6",
+        // Secondary
+        "secondary":                "#c4c7c9",
+        "secondary-fixed":          "#e0e3e5",
+        "secondary-fixed-dim":      "#c4c7c9",
+        "secondary-container":      "#464a4b",
+        "on-secondary":             "#2d3133",
+        "on-secondary-container":   "#b6b9bb",
+        "on-secondary-fixed":       "#191c1e",
+        "on-secondary-fixed-variant":"#444749",
+        // Tertiary (green – positive sentiment)
+        "tertiary":                 "#4edea3",
+        "tertiary-fixed":           "#6ffbbe",
+        "tertiary-fixed-dim":       "#4edea3",
+        "tertiary-container":       "#00885d",
+        "on-tertiary":              "#003824",
+        "on-tertiary-container":    "#000703",
+        "on-tertiary-fixed":        "#002113",
+        "on-tertiary-fixed-variant":"#005236",
+        // Error (red – negative sentiment)
+        "error":                    "#ffb4ab",
+        "error-container":          "#93000a",
+        "on-error":                 "#690005",
+        "on-error-container":       "#ffdad6",
+        // Outline
+        "outline":                  "#908fa0",
+        "outline-variant":          "#464554",
+        // Sentiment aliases
+        "positive":                 "#4edea3",
+        "negative":                 "#ffb4ab",
+        "warning":                  "#f5c542",
+      },
+      fontFamily: {
+        sans:  ["Geist", "ui-sans-serif", "system-ui", "sans-serif"],
+        mono:  ["JetBrains Mono", "ui-monospace", "monospace"],
+        geist: ["Geist", "sans-serif"],
+      },
+      fontSize: {
+        "display":    ["36px", { lineHeight: "44px", letterSpacing: "-0.025em", fontWeight: "600" }],
+        "headline-lg":["32px", { lineHeight: "40px", letterSpacing: "-0.02em",  fontWeight: "600" }],
+        "headline-md":["24px", { lineHeight: "32px", letterSpacing: "-0.01em",  fontWeight: "600" }],
+        "headline-sm":["20px", { lineHeight: "28px",                             fontWeight: "500" }],
+        "title-lg":   ["16px", { lineHeight: "24px",                             fontWeight: "600" }],
+        "title-md":   ["14px", { lineHeight: "20px",                             fontWeight: "600" }],
+        "body-lg":    ["16px", { lineHeight: "24px",                             fontWeight: "400" }],
+        "body-md":    ["14px", { lineHeight: "20px",                             fontWeight: "400" }],
+        "body-sm":    ["12px", { lineHeight: "16px",                             fontWeight: "400" }],
+        "label-lg":   ["14px", { lineHeight: "20px", letterSpacing: "0.02em",   fontWeight: "500" }],
+        "label-md":   ["12px", { lineHeight: "16px", letterSpacing: "0.05em",   fontWeight: "500" }],
+        "label-sm":   ["11px", { lineHeight: "16px", letterSpacing: "0.06em",   fontWeight: "500" }],
+      },
+      spacing: {
+        "xs":  "4px",
+        "sm":  "8px",
+        "md":  "12px",
+        "lg":  "16px",
+        "xl":  "24px",
+        "2xl": "32px",
+        "3xl": "48px",
+      },
+      borderRadius: {
+        "sm":   "4px",
+        "DEFAULT": "6px",
+        "md":   "8px",
+        "lg":   "12px",
+        "xl":   "16px",
+        "2xl":  "20px",
+        "full": "9999px",
+      },
+      boxShadow: {
+        "card":     "0 1px 3px rgba(0,0,0,0.4), 0 1px 2px rgba(0,0,0,0.3)",
+        "elevated": "0 4px 16px rgba(0,0,0,0.5)",
+        "glow-primary": "0 0 20px rgba(192,193,255,0.15)",
+        "glow-positive": "0 0 12px rgba(78,222,163,0.2)",
+        "glow-negative": "0 0 12px rgba(255,180,171,0.2)",
+      },
+      backdropBlur: {
+        "glass": "12px",
+      },
+      animation: {
+        "pulse-slow": "pulse 3s cubic-bezier(0.4, 0, 0.6, 1) infinite",
+        "fade-in":    "fadeIn 0.2s ease-out",
+        "slide-in":   "slideIn 0.25s ease-out",
+      },
+      keyframes: {
+        fadeIn:  { from: { opacity: "0" },                         to: { opacity: "1" } },
+        slideIn: { from: { opacity: "0", transform: "translateY(8px)" }, to: { opacity: "1", transform: "translateY(0)" } },
+      },
+    },
   },
   plugins: [],
 }

requirements.txt

@@ -24,3 +24,4 @@ python-dotenv==1.0.1
 pytest==8.2.0
 httpx==0.27.0
 prometheus-fastapi-instrumentator==7.0.0
+python-multipart==0.0.9