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Analyse automatique de phrases préfabriquées des interactions (PPI) — pipeline NLP + serveur FastAPI

Project description

PPI Analyser

Outil d'analyse automatique de phrases préfabriquées d'interaction (PPI) françaises.

Installation

python -m venv myenv
source myenv/bin/activate
pip install -e .

Configuration

Copy .env.example to .env and fill in your API keys:

cp .env.example .env

Usage

from ppi_analyser.core import PPIAnalyser
from ppi_analyser.config import PipelineConfig, AnalysisMode

analyser = PPIAnalyser()
config = PipelineConfig(
    models=["mistral_mistral-medium-latest"],
    expression="je t'en prie",
    sentence_file="path/to/corpus.xlsx",
    mode=AnalysisMode.ORAL,
    output_dir="path/to/output",
)
df, state = analyser.process_sentences(config)

Modes

  • ORAL — corpus oral
  • ECRIT — corpus écrit (segmentation automatique)
  • ECRIT_IA — corpus écrit avec détection des tours de parole par LLM
  • ECRIT_TEST — mode test rapide

Models supported

  • Mistral (mistral_mistral-medium-latest)
  • Ollama (ollama_mistral:7b)
  • Groq (groq_moonshotai/kimi-k2-instruct)
  • DeepSeek (deepseek_deepseek-chat)
  • Gemini (gemini_gemini-3-flash-preview)

ppi_analyser

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