pyr0ball
d68754d432
Scrape → Store → Process pipeline for building email classifier
benchmark data across the CircuitForge menagerie.
- app/label_tool.py — Streamlit card-stack UI, multi-account IMAP fetch,
6-bucket labeling, undo/skip, keyboard shortcuts (1-6/S/U)
- scripts/classifier_adapters.py — ZeroShotAdapter (+ two_pass),
GLiClassAdapter, RerankerAdapter; ABC with lazy model loading
- scripts/benchmark_classifier.py — 13-model registry, --score,
--compare, --list-models, --export-db; uses label_tool.yaml for IMAP
- tests/ — 20 tests, all passing, zero model downloads required
- config/label_tool.yaml.example — multi-account IMAP template
- data/email_score.jsonl.example — sample labeled data for CI
Labels: interview_scheduled, offer_received, rejected,
positive_response, survey_received, neutral
23 lines
655 B
Text
23 lines
655 B
Text
# config/label_tool.yaml — Multi-account IMAP config for the email label tool
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# Copy to config/label_tool.yaml and fill in your credentials.
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# This file is gitignored.
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accounts:
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- name: "Gmail"
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host: "imap.gmail.com"
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port: 993
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username: "you@gmail.com"
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password: "your-app-password" # Use an App Password, not your login password
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folder: "INBOX"
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days_back: 90
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- name: "Outlook"
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host: "outlook.office365.com"
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port: 993
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username: "you@outlook.com"
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password: "your-app-password"
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folder: "INBOX"
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days_back: 90
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# Optional: limit emails fetched per account per run (0 = unlimited)
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max_per_account: 500
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