multilingual-absa / docs /demo_script.md
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Demo Script (3-Minute Walkthrough)

00:00 — Open live dashboard Action: Navigate to the Vercel live URL. Show the clean React interface, explaining that the backend is powered by FastAPI and PostgreSQL.

00:15 — Type English review, show aspect results Action: Paste the first review from demo_single_reviews.txt: "The phone has an amazing screen but the battery life is terrible." Narration: "Let's start with a standard English review. Notice how the model doesn't just say 'Mixed Sentiment'. It highlights 'screen' as positive (green) and 'battery life' as negative (red)."

00:40 — Type Hindi review, show language detection + aspects Action: Paste the Hindi review: "फोन की बैटरी अच्छी है लेकिन कैमरा बेकार है" Narration: "Now, what makes this platform special is its multilingual support. I paste a Hindi review, and instantly the system detects Hindi. It successfully tags 'बैटरी' (battery) as positive and 'कैमरा' (camera) as negative."

01:10 — Upload sample CSV, show batch processing + progress Action: Navigate to the Analytics tab and drag/drop sample_reviews.csv. Narration: "For enterprise use, we have bulk processing. Behind the scenes, Celery workers take over. Watch the real-time polling update the progress bar seamlessly."

01:50 — Show analytics charts (sentiment distribution) Action: Scroll down to view the rendered Recharts. Narration: "Once completed, we get aggregated insights. Here's our Sentiment over time, Top Aspects across the batch, and our Language Distribution pie chart."

02:20 — Show Grafana monitoring dashboard Action: Switch tabs to the Grafana dashboard (localhost:3001 or deployed URL). Narration: "Production reliability is crucial. Here we see our Prometheus metrics scraped from FastAPI: request rates, P95 latency consistently under 200ms, and Celery worker health."

02:45 — Show HuggingFace Hub model page Action: Switch to the HuggingFace Hub repository. Narration: "Finally, our optimized INT8 ONNX models are hosted publicly on HuggingFace Hub. Thank you for watching!"