Weather Alert Priority Classifier

How Weather Alert Priority Classifier works

Press Load model once: your browser downloads Gemma 4 E2B instruction-tuned (web build) (2.0 GB) from this site and keeps it in its cache. Then add your text and press Classify locally. The model runs on this device using your graphics card, so nothing you enter is sent to a server. Until the model is loaded, or if your device cannot run it, the tool falls back to a simple keyword check and labels the result as the fallback.

Gemma 4 E2B instruction-tuned (web build) is a small open language model from Google. The tool sends it the instruction below plus your text, asks for a JSON answer with fixed fields, and shows each field as a card. It runs at temperature 0, so the same input gives the same answer on the same device, though different graphics cards can word it slightly differently.

Inputs longer than 6,000 characters are cut to that length before they reach the model, and the result says so. The model only sees what you paste: it does not look anything up.

The instruction the model gets

You read a weather alert or advisory and summarise it for a busy reader. Name the hazards, copy the timing and figures exactly as written, list the people or places it says are at risk, and rate urgency from the alert's own wording: 'Act now' for warnings or emergencies in effect, 'Prepare' for watches or advisories, 'Be aware' for outlooks. Do not add forecasts or safety claims the alert does not make; follow official instructions.

What it returns

• Urgency: One of: Act now, Prepare, Be aware, followed by a short reason quoting the alert.
• Hazards: Each hazard named (heat, flood, wind, snow, ice, smoke, storm and so on).
• Timing and figures: Start and end times, temperatures, wind speeds or amounts, exactly as written.
• Who or where is at risk: Groups or areas the alert names.
• Actions the alert gives: Instructions or resources the alert itself mentions, such as shelters or evacuation routes.

Worked example

The model's output for the built-in sample, recorded on a desktop browser. Your run may word things slightly differently.

Alert: Heat advisory from noon to 9pm, feels-like temp 108F, elderly residents affected, cooling center open, thunderstorm watch later tonight.

Urgency

Prepare

Hazards

heat thunderstorm

Timing and figures

noon to 9pm feels-like temp 108F

Who or where is at risk

elderly residents

Actions the alert gives

cooling center open

The model

The files are served from this site, versioned so a cached copy is never stale. Nothing is fetched from a third party while you use the tool.

Limitations

• Small language models make mistakes: they can miss an item, merge two, or state something more confidently than the text supports. Check the result against your input before you rely on it.
• It needs WebGPU and about 8 GB of memory, so it is offered on desktops and laptops, not on phones and tablets. Devices that cannot run it get the keyword fallback, clearly labelled.
• Results describe the input you gave, not the real-world situation behind it. Review them yourself before acting.

Good uses

• Flag severe-weather, evacuation, shelter, and outage signals
• Separate urgent alerts from lower-priority advisories
• Review small batches of field notes or public bulletins
• Keep draft alert text in the browser preview