lhr0909

from typing import Dict, Any, List
from pathlib import Path
import yaml
import torch
import pytorch_lightning as pl
from torch.utils.data import DataLoader
from jina import Flow
from docarray import DocumentArray, Document

lhr0909

nlu:
  - intent: greet
    examples:
      - Hello
      - Hi
      - Hey
  - intent: affirm
    examples:
      - "Yes"
      - "Yes, that's right"

lhr0909

from typing import Any, Dict, List
import yaml
from pathlib import Path
from jina import Executor, requests
from docarray import DocumentArray, Document
from docarray.score import NamedScore
import torch
import torch.nn.functional as F

from diet_classifier.config import DIETClassifierConfig

lhr0909

from jina import Flow
from docarray import DocumentArray, Document

from executor import DIETClassifierExecutor

f = Flow().add(
    uses='jinahub+docker://ConveRTFeaturizer/latest'
).add(
    uses=DIETClassifierExecutor, uses_with={ 'model_path': './lightning_logs/version_4/checkpoints/epoch=999-step=1000.ckpt' }
)

lhr0909

📄 Document: 390ade4aa6f98236224082851331c670
╭───────────┬──────────────────────────────────────────────────────────────────╮
│ Attribute │ Value                                                            │
├───────────┼──────────────────────────────────────────────────────────────────┤
│ text      │ Naw man                                                          │
│ embedding │ ▄▄▄                                                              │
╰───────────┴──────────────────────────────────────────────────────────────────╯
└── 🔶 Matches
    ├── 📄 Document: 626c8c7ed40279b4152aae627223e253
    │   ╭───────────┬──────────────────────────────────────────────────────────────────╮

lhr0909

import csv
import json
import datetime

events = []

# Open the CSV
with open("portable_user_history-2024-06-02-csv.csv", "r") as f:
    reader = csv.DictReader(
        f,