src.subpages.page 

 1from dataclasses import dataclass
 2from typing import Any
 3
 4import pandas as pd
 5from datasets import Dataset  # type: ignore
 6from sentence_transformers import SentenceTransformer
 7from transformers import AutoModelForSequenceClassification  # type: ignore
 8from transformers import AutoTokenizer  # type: ignore
 9
10
11@dataclass
12class Context:
13    """This object facilitates passing around the applications state between different pages."""
14
15    model: AutoModelForSequenceClassification
16    tokenizer: AutoTokenizer
17    sentence_encoder: SentenceTransformer
18    tags: Any
19    df: pd.DataFrame
20    df_tokens: pd.DataFrame
21    df_tokens_cleaned: pd.DataFrame
22    df_tokens_merged: pd.DataFrame
23    split_sample_size: int
24    ds_name: str
25    ds_config_name: str
26    ds_split_name: str
27    split: Dataset
28    labels: list[str]
29
30
31class Page:
32    """Base class for all pages."""
33
34    name: str
35    icon: str
36
37    def get_widget_defaults(self):
38        """This function holds the default settings for all the page's widgets.
39
40        Returns:
41            dict: A dictionary of widget defaults, where the keys are the widget names and the values are the default.
42        """
43        return {}
44
45    def render(self, context):
46        """This function renders the page."""
47        ...
@dataclass
class Context: 
12@dataclass
13class Context:
14    """This object facilitates passing around the applications state between different pages."""
15
16    model: AutoModelForSequenceClassification
17    tokenizer: AutoTokenizer
18    sentence_encoder: SentenceTransformer
19    tags: Any
20    df: pd.DataFrame
21    df_tokens: pd.DataFrame
22    df_tokens_cleaned: pd.DataFrame
23    df_tokens_merged: pd.DataFrame
24    split_sample_size: int
25    ds_name: str
26    ds_config_name: str
27    ds_split_name: str
28    split: Dataset
29    labels: list[str]

This object facilitates passing around the applications state between different pages.

Context( model: transformers.models.auto.modeling_auto.AutoModelForSequenceClassification, tokenizer: transformers.models.auto.tokenization_auto.AutoTokenizer, sentence_encoder: sentence_transformers.SentenceTransformer.SentenceTransformer, tags: Any, df: pandas.core.frame.DataFrame, df_tokens: pandas.core.frame.DataFrame, df_tokens_cleaned: pandas.core.frame.DataFrame, df_tokens_merged: pandas.core.frame.DataFrame, split_sample_size: int, ds_name: str, ds_config_name: str, ds_split_name: str, split: datasets.arrow_dataset.Dataset, labels: list[str])
class Page: 
32class Page:
33    """Base class for all pages."""
34
35    name: str
36    icon: str
37
38    def get_widget_defaults(self):
39        """This function holds the default settings for all the page's widgets.
40
41        Returns:
42            dict: A dictionary of widget defaults, where the keys are the widget names and the values are the default.
43        """
44        return {}
45
46    def render(self, context):
47        """This function renders the page."""
48        ...

Base class for all pages.

Page()
def get_widget_defaults(self) 
38    def get_widget_defaults(self):
39        """This function holds the default settings for all the page's widgets.
40
41        Returns:
42            dict: A dictionary of widget defaults, where the keys are the widget names and the values are the default.
43        """
44        return {}

This function holds the default settings for all the page's widgets.

Returns

dict: A dictionary of widget defaults, where the keys are the widget names and the values are the default.

def render(self, context) 
46    def render(self, context):
47        """This function renders the page."""
48        ...

This function renders the page.