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 oralECRIT— corpus écrit (segmentation automatique)ECRIT_IA— corpus écrit avec détection des tours de parole par LLMECRIT_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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