metadata
title: Weather Forecast
emoji: 🌤️
colorFrom: blue
colorTo: green
sdk: docker
pinned: false
app_port: 7860
🌤️ Weather Forecast — Powered by Open-Meteo & Mistral 7B
Ask anything in natural language and get a 7-day weather forecast for every city you mention.
How it works
User prompt → Mistral-7B (HF Inference API) → list of cities
↓
Open-Meteo Geocoding API → lat/lon for each city
↓
Open-Meteo Forecast API → 7-day daily forecast
↓
Streamlit UI
Stack
| Layer | Technology |
|---|---|
| UI | Streamlit |
| Containerisation | Docker |
| LLM (NLP parsing) | Mistral-7B-Instruct-v0.3 via HF Inference API |
| Geocoding | Open-Meteo Geocoding API (free, no key) |
| Weather data | Open-Meteo Forecast API (free, no key) |
Setup
files :
weather-app/ ├── src ├──src └──streamlit_app.py ├── Dockerfile ├── requirements.txt └── README.md
Open https://annanurov-rainytrek.hf.space/
## Example prompts
- *"What's the weather like in Paris and Tokyo?"*
- *"I'm travelling from Berlin to Rome next week, what should I pack?"*
- *"Compare weather in London, New York and Sydney"*
## Notes
- Open-Meteo is fully **open-source and free** — no API key required.
- The LLM call uses the **Hugging Face serverless Inference API** (`mistralai/Mistral-7B-Instruct-v0.3`). A free HF account token is sufficient for moderate usage.
- Temperatures are in **°C**, wind speed in **km/h**, precipitation in **mm**.