Download app/models.py from Emeritus-21/Hand-written-text-recognition-testing: direct link, hf CLI and curl.
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https://huggingface.co/spaces/Emeritus-21/Hand-written-text-recognition-testing/resolve/main/app/models.py
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hf download hf://spaces/Emeritus-21/Hand-written-text-recognition-testing/app/models.py
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curl -L -o models.py https://huggingface.co/spaces/Emeritus-21/Hand-written-text-recognition-testing/resolve/main/app/models.py
1.4 kB
| from datetime import datetime | |
| from sqlalchemy import Column, String, DateTime, Text, ForeignKey | |
| from .db import Base | |
| class Session(Base): | |
| __tablename__ = "sessions" | |
| id = Column(String, primary_key=True) | |
| status = Column(String, default="active") | |
| language = Column(String, default="yo-en") | |
| created_at = Column(DateTime, default=datetime.utcnow) | |
| class Turn(Base): | |
| __tablename__ = "turns" | |
| id = Column(String, primary_key=True) | |
| session_id = Column(String, ForeignKey("sessions.id"), nullable=False) | |
| speaker = Column(String, default="patient") | |
| audio_path = Column(String, nullable=True) | |
| transcript = Column(Text, nullable=True) | |
| timestamp = Column(DateTime, default=datetime.utcnow) | |
| class Intake(Base): | |
| __tablename__ = "patient_intakes" | |
| session_id = Column(String, ForeignKey("sessions.id"), primary_key=True) | |
| data_json = Column(Text, default="{}") | |
| class BenchmarkResult(Base): | |
| __tablename__ = "benchmark_results" | |
| id = Column(String, primary_key=True) | |
| model_name = Column(String) | |
| model_version = Column(String) | |
| dataset_name = Column(String) | |
| dataset_version = Column(String) | |
| split = Column(String) | |
| wer = Column(String, nullable=True) | |
| cer = Column(String, nullable=True) | |
| latency_ms = Column(String, nullable=True) | |
| audio_count = Column(String, nullable=True) | |
| failures = Column(String, nullable=True) | |