SUMMARY AI summary by gpt-5-mini
A small API pipeline project (lab work) that processes CSV reviews through an LLM and returns structured JSON classifications. Intended for developers or data engineers experimenting with LLM-based text analysis or building simple review-processing services. What it does: - Accepts CSV with columns id;review and sends reviews to an LLM. - Returns a JSON array where each item is either a valid classification (tonality: positive/negative/neutral; topic: 1–5 words; factor: list of 1–2 word aspects; confidence: 0.0–1.0) or an error object ("Не пришел ответ от llm" or "Ошибка декодирования"). Key features: - Structured output with confidence scores and multi-factor extraction. - Basic error handling for missing or malformed LLM responses. - Configurable via .env: API_KEY and LLM_MODEL (uses ZvenoAI by default), optional BASE_URL override. - Simple setup and run using uv (pip install uv; uv sync; uv run src/main.py).
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| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-05-10 16:11 |
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