mirror of
https://github.com/aykhans/AzSuicideDataVisualization.git
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348 lines
13 KiB
Python
348 lines
13 KiB
Python
# Copyright 2018-2022 Streamlit Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from streamlit.scriptrunner import ScriptRunContext, get_script_run_ctx
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from streamlit.type_util import Key, to_key
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from textwrap import dedent
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from typing import Optional, cast
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import streamlit
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from streamlit.errors import StreamlitAPIException
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from streamlit.proto.TextArea_pb2 import TextArea as TextAreaProto
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from streamlit.proto.TextInput_pb2 import TextInput as TextInputProto
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from streamlit.state import (
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register_widget,
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WidgetArgs,
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WidgetCallback,
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WidgetKwargs,
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)
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from .form import current_form_id
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from .utils import check_callback_rules, check_session_state_rules
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class TextWidgetsMixin:
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def text_input(
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self,
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label: str,
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value: str = "",
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max_chars: Optional[int] = None,
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key: Optional[Key] = None,
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type: str = "default",
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help: Optional[str] = None,
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autocomplete: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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placeholder: Optional[str] = None,
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disabled: bool = False,
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) -> str:
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"""Display a single-line text input widget.
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Parameters
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----------
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label : str
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A short label explaining to the user what this input is for.
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value : any
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The text value of this widget when it first renders. This will be
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cast to str internally.
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max_chars : int or None
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Max number of characters allowed in text input.
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key : str or int
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An optional string or integer to use as the unique key for the widget.
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If this is omitted, a key will be generated for the widget
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based on its content. Multiple widgets of the same type may
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not share the same key.
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type : str
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The type of the text input. This can be either "default" (for
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a regular text input), or "password" (for a text input that
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masks the user's typed value). Defaults to "default".
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help : str
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An optional tooltip that gets displayed next to the input.
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autocomplete : str
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An optional value that will be passed to the <input> element's
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autocomplete property. If unspecified, this value will be set to
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"new-password" for "password" inputs, and the empty string for
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"default" inputs. For more details, see https://developer.mozilla.org/en-US/docs/Web/HTML/Attributes/autocomplete
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on_change : callable
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An optional callback invoked when this text_input's value changes.
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args : tuple
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An optional tuple of args to pass to the callback.
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kwargs : dict
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An optional dict of kwargs to pass to the callback.
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placeholder : str or None
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An optional string displayed when the text input is empty. If None,
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no text is displayed. This argument can only be supplied by keyword.
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disabled : bool
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An optional boolean, which disables the text input if set to True.
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The default is False. This argument can only be supplied by keyword.
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Returns
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-------
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str
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The current value of the text input widget.
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Example
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-------
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>>> title = st.text_input('Movie title', 'Life of Brian')
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>>> st.write('The current movie title is', title)
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.. output::
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https://share.streamlit.io/streamlit/docs/main/python/api-examples-source/widget.text_input.py
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height: 260px
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"""
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ctx = get_script_run_ctx()
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return self._text_input(
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label=label,
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value=value,
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max_chars=max_chars,
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key=key,
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type=type,
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help=help,
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autocomplete=autocomplete,
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on_change=on_change,
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args=args,
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kwargs=kwargs,
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placeholder=placeholder,
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disabled=disabled,
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ctx=ctx,
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)
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def _text_input(
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self,
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label: str,
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value: str = "",
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max_chars: Optional[int] = None,
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key: Optional[Key] = None,
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type: str = "default",
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help: Optional[str] = None,
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autocomplete: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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placeholder: Optional[str] = None,
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disabled: bool = False,
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ctx: Optional[ScriptRunContext] = None,
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) -> str:
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key = to_key(key)
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check_callback_rules(self.dg, on_change)
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check_session_state_rules(default_value=None if value == "" else value, key=key)
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text_input_proto = TextInputProto()
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text_input_proto.label = label
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text_input_proto.default = str(value)
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text_input_proto.form_id = current_form_id(self.dg)
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if help is not None:
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text_input_proto.help = dedent(help)
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if max_chars is not None:
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text_input_proto.max_chars = max_chars
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if placeholder is not None:
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text_input_proto.placeholder = str(placeholder)
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if type == "default":
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text_input_proto.type = TextInputProto.DEFAULT
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elif type == "password":
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text_input_proto.type = TextInputProto.PASSWORD
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else:
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raise StreamlitAPIException(
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"'%s' is not a valid text_input type. Valid types are 'default' and 'password'."
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% type
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)
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# Marshall the autocomplete param. If unspecified, this will be
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# set to "new-password" for password inputs.
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if autocomplete is None:
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autocomplete = "new-password" if type == "password" else ""
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text_input_proto.autocomplete = autocomplete
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def deserialize_text_input(ui_value, widget_id="") -> str:
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return str(ui_value if ui_value is not None else value)
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current_value, set_frontend_value = register_widget(
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"text_input",
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text_input_proto,
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user_key=key,
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on_change_handler=on_change,
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args=args,
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kwargs=kwargs,
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deserializer=deserialize_text_input,
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serializer=lambda x: x,
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ctx=ctx,
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)
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# This needs to be done after register_widget because we don't want
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# the following proto fields to affect a widget's ID.
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text_input_proto.disabled = disabled
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if set_frontend_value:
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text_input_proto.value = current_value
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text_input_proto.set_value = True
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self.dg._enqueue("text_input", text_input_proto)
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return cast(str, current_value)
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def text_area(
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self,
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label: str,
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value: str = "",
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height: Optional[int] = None,
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max_chars: Optional[int] = None,
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key: Optional[Key] = None,
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help: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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placeholder: Optional[str] = None,
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disabled: bool = False,
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) -> str:
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"""Display a multi-line text input widget.
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Parameters
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----------
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label : str
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A short label explaining to the user what this input is for.
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value : any
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The text value of this widget when it first renders. This will be
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cast to str internally.
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height : int or None
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Desired height of the UI element expressed in pixels. If None, a
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default height is used.
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max_chars : int or None
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Maximum number of characters allowed in text area.
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key : str or int
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An optional string or integer to use as the unique key for the widget.
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If this is omitted, a key will be generated for the widget
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based on its content. Multiple widgets of the same type may
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not share the same key.
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help : str
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An optional tooltip that gets displayed next to the textarea.
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on_change : callable
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An optional callback invoked when this text_area's value changes.
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args : tuple
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An optional tuple of args to pass to the callback.
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kwargs : dict
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An optional dict of kwargs to pass to the callback.
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placeholder : str or None
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An optional string displayed when the text area is empty. If None,
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no text is displayed. This argument can only be supplied by keyword.
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disabled : bool
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An optional boolean, which disables the text area if set to True.
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The default is False. This argument can only be supplied by keyword.
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Returns
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-------
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str
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The current value of the text input widget.
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Example
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-------
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>>> txt = st.text_area('Text to analyze', '''
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... It was the best of times, it was the worst of times, it was
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... the age of wisdom, it was the age of foolishness, it was
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... the epoch of belief, it was the epoch of incredulity, it
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... was the season of Light, it was the season of Darkness, it
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... was the spring of hope, it was the winter of despair, (...)
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... ''')
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>>> st.write('Sentiment:', run_sentiment_analysis(txt))
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"""
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ctx = get_script_run_ctx()
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return self._text_area(
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label=label,
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value=value,
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height=height,
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max_chars=max_chars,
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key=key,
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help=help,
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on_change=on_change,
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args=args,
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kwargs=kwargs,
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placeholder=placeholder,
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disabled=disabled,
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ctx=ctx,
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)
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def _text_area(
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self,
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label: str,
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value: str = "",
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height: Optional[int] = None,
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max_chars: Optional[int] = None,
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key: Optional[Key] = None,
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help: Optional[str] = None,
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on_change: Optional[WidgetCallback] = None,
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args: Optional[WidgetArgs] = None,
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kwargs: Optional[WidgetKwargs] = None,
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*, # keyword-only arguments:
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placeholder: Optional[str] = None,
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disabled: bool = False,
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ctx: Optional[ScriptRunContext] = None,
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) -> str:
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key = to_key(key)
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check_callback_rules(self.dg, on_change)
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check_session_state_rules(default_value=None if value == "" else value, key=key)
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text_area_proto = TextAreaProto()
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text_area_proto.label = label
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text_area_proto.default = str(value)
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text_area_proto.form_id = current_form_id(self.dg)
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if help is not None:
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text_area_proto.help = dedent(help)
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if height is not None:
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text_area_proto.height = height
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if max_chars is not None:
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text_area_proto.max_chars = max_chars
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if placeholder is not None:
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text_area_proto.placeholder = str(placeholder)
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def deserialize_text_area(ui_value, widget_id="") -> str:
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return str(ui_value if ui_value is not None else value)
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current_value, set_frontend_value = register_widget(
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"text_area",
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text_area_proto,
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user_key=key,
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on_change_handler=on_change,
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args=args,
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kwargs=kwargs,
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deserializer=deserialize_text_area,
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serializer=lambda x: x,
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ctx=ctx,
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)
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# This needs to be done after register_widget because we don't want
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# the following proto fields to affect a widget's ID.
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text_area_proto.disabled = disabled
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if set_frontend_value:
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text_area_proto.value = current_value
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text_area_proto.set_value = True
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self.dg._enqueue("text_area", text_area_proto)
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return cast(str, current_value)
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@property
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def dg(self) -> "streamlit.delta_generator.DeltaGenerator":
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"""Get our DeltaGenerator."""
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return cast("streamlit.delta_generator.DeltaGenerator", self)
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