📝 docs(custom-component.mdx): add documentation for custom components
🎨 style(custom.css): update styling for code blocks and sidebar in documentation
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317
docs/docs/guidelines/custom-component.mdx
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317
docs/docs/guidelines/custom-component.mdx
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---
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description: Custom Components
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hide_table_of_contents: true
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---
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# Custom Components
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A Custom Component has almost infinite possibilities. It can be a simple function that takes a string and returns a string,
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or it can be a complex function that takes other components, calls APIs, and returns a custom object only you know how to use (which might not be ideal).
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Let's take a look at the basic rules, then we'll talk about the ones that are not so basic.
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## TL;DR
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This is a simple example of a Custom Component. We will go over the rules in detail later.
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<CH.Code linuNumbers={false}>
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```python
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Best Component"
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description = "This is the best component ever"
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def build_config(self) -> dict:
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cool_tool_names = ["Cool Tool",
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"Cooler Tool",
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"Coolest Tool"]
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return {
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"description": {"multiline": True},
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"name": {"is_list": True,
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"options": cool_tool_names}}
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def build(self, name: str, description: str, chain: Chain) -> Tool:
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return Tool(name=name,
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description=description,
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func=chain.run)
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```
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</CH.Code>
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## Rules:
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<CH.Scrollycoding rows={20} className={""}>
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## Rule 1
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The class must inherit from _`CustomComponent`_.
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```python
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# focus
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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# focus
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class BestComponent(CustomComponent):
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display_name = "Custom Component"
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description = "This is a custom component"
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def build_config(self) -> dict:
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...
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def build(self):
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...
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```
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---
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## Rule 2:
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The class must have a _`build`_ method
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```python
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Custom Component"
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description = "This is a custom component"
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def build_config(self) -> dict:
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...
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# focus[5:13]
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def build(self):
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...
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```
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---
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## Rule 3
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The type annotations of the _`build`_ method will be used to create the fields of the component
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The types supported are:
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- _`str`_, _`int`_, _`float`_, _`bool`_, _`list`_, _`dict`_
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- [_`langchain.chains.base.Chain`_](focus://3)
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- [_`langchain.PromptTemplate`_](focus://4)
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- [_`langchain.llms.base.BaseLLM`_](focus://5)
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- [_`langchain.Tool`_](focus://6)
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- _`langchain.document_loaders.base.BaseLoader`_
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- _`langchain.schema.Document`_
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- _`langchain.text_splitters.TextSplitter`_
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- _`langchain.vectorstores.base.VectorStore`_
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- _`langchain.embeddings.base.Embeddings`_
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- _`langchain.schema.BaseRetriever`_
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```python
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Custom Component"
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description = "This is a custom component"
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def build_config(self) -> dict:
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...
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# focus[14:75]
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def build(self):
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...
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```
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---
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```python
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Custom Component"
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description = "This is a custom component"
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# focus
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def build_config(self) -> dict:
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...
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def build(self):
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...
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```
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## Rule 4:
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The class can have a [_`build_config`_](focus://11:19) method
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- The _`build_config`_ method will be used to create the config fields of the component (if any)
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- It should always return a _`dict`_
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The _`dict`_ should have the following format:
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- The top level keys are the names of the fields
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- The values are _`dict`_ with the following keys:
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- _`field_type: str`_: The type of the field (can be str, int, float, bool, file or any of the types supported by the _`build`_ method)
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- _`is_list: bool`_: If the field is a list
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- _`options: List[str]`_: If the field is a list, the options that will be displayed
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- _`multiline: bool`_: If the field is a string, if it should be multiline
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- _`input_types: List[str]`_: To be used when you want a _`str`_ field to have connectable handles.
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- _`dispaly_name: str`_: To change the name of the field
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- _`advanced: bool`_: To hide the field in the default view
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- _`password: bool`_: To mask the input
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- _`required: bool`_: To make the field required
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- _`info: str`_: To add a tooltip to the field
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- _`file_types: List[str]`_: This is a requirement if the _`field_type`_ is 'file'
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(must be used in conjunction with _`suffixes`_)
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Example: _`["json", "yaml", "yml"]`_
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- _`suffixes: List[str]`_: This is a requirement if the _`field_type`_ is 'file' (must be used in conjunction with _`file_types`_, and it must be a list of strings like 'json')
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Example: _`[".json", ".yaml", ".yml"]`_
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---
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# Change the name
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We can change the name of the component by adding a _`display_name`_ attribute.
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```python focus=9
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Best Component"
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description = "This is a custom component"
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def build_config(self) -> dict:
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...
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def build(self):
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...
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```
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---
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# Change the description
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We can change the description of the component by adding a _`description`_ attribute.
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```python focus=10
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Best Component"
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description = "This is the best component ever"
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def build_config(self) -> dict:
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...
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def build(self):
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...
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```
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---
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# Add a config
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The _`build_config`_ method will be used to create the config fields of the component (if any).
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- _`multiline`_ is a special option that will give the option to open a text editor.
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- _`is_list`_ is a special option that will give the option to add multiple values. When paired with _`options`_ it will transform it into a select field.
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```python focus=12:19
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Best Component"
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description = "This is the best component ever"
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def build_config(self) -> dict:
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cool_tool_names = ["Cool Tool",
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"Cooler Tool",
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"Coolest Tool"]
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return {
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"description": {"multiline": True},
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"name": {"is_list": True,
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"options": cool_tool_names}}
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def build(self):
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...
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```
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---
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```python focus=21:25
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from langflow import CustomComponent
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from langchain.chains import LLMChain
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from langchain.chains.base import Chain
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from langchain import PromptTemplate
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from langchain.llms.base import BaseLLM
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from langchain import Tool
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class BestComponent(CustomComponent):
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display_name = "Best Component"
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description = "This is the best component ever"
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def build_config(self) -> dict:
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cool_tool_names = ["Cool Tool",
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"Cooler Tool",
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"Coolest Tool"]
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return {
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"description": {"multiline": True},
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"name": {"is_list": True,
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"options": cool_tool_names}}
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def build(self, name: str, description: str, chain: Chain) -> Tool:
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return Tool(name=name,
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description=description,
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func=chain.run)
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```
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# Add the build method
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- name is a string
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- description is a string
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- chain is a Chain
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- The return type is Tool
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</CH.Scrollycoding>
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* bundles Infima by default. Infima is a CSS framework designed to
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* work well for content-centric websites.
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*/
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:root {
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:root {
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--ifm-background-color: var(--token-primary-bg-c);
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--ifm-navbar-link-hover-color: initial;
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--ifm-navbar-padding-vertical: 0;
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--ifm-navbar-item-padding-vertical: 0;
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--ifm-font-family-base: -apple-system, BlinkMacSystemFont, Inter, Helvetica, Arial, sans-serif, 'Apple Color Emoji', 'Segoe UI emoji';
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--ifm-font-family-monospace: 'SFMono-Regular', 'Roboto Mono', Consolas, 'Liberation Mono', Menlo, Courier, monospace;
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--ifm-font-family-base: -apple-system, BlinkMacSystemFont, Inter, Helvetica,
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Arial, sans-serif, "Apple Color Emoji", "Segoe UI emoji";
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--ifm-font-family-monospace: "SFMono-Regular", "Roboto Mono", Consolas,
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"Liberation Mono", Menlo, Courier, monospace;
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}
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.theme-doc-sidebar-item-category.menu__list-item:not(:first-child) {
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margin-top: 1.5rem!important;
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margin-top: 1.5rem !important;
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}
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.docusaurus-highlight-code-line {
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transform: skewY(6deg);
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}
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[class^='announcementBar'] {
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[class^="announcementBar"] {
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z-index: 10;
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}
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}
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.header-github-link:before {
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content: '';
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content: "";
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width: 24px;
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height: 24px;
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display: flex;
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}
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.header-twitter-link::before {
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content: '';
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content: "";
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width: 24px;
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height: 24px;
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display: flex;
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}
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.header-discord-link::before {
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content: '';
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content: "";
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width: 24px;
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height: 24px;
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display: flex;
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background-size: contain;
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}
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/* Images */
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.image-rendering-crisp {
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image-rendering: crisp-edges;
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.img-center {
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display: flex;
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justify-content: center;
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width: 100%,
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width: 100%;
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}
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.resized-image {
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@ -188,4 +189,13 @@ body {
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.mendable-search {
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width: 140px;
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}
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}
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}
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.ch-scrollycoding-content {
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max-width: 40% !important;
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}
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.ch-scrollycoding-sticker {
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max-width: 60% !important;
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min-width: 60% !important;
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}
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