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st-pydantic

Streamlit Pydantic Auto-generate Streamlit UI elements from Pydantic models. Getting Started • Documentation • Support • Report a Bug • Contribution • Changelog st-pydantic is a fork of the fantastic st-pydantic package, which is no longer maintained by the original author, @LukasMasuch. I tried reaching out to the original maintainer, but I did not get a response, so I created this fork. I intend on maintaining it and adding new features as needed. The original README is below. st-pydantic makes it easy to auto-generate UI elements from Pydantic models or dataclasses. Just define your data model and turn it into a full-fledged UI form. It supports data validation, nested models, and field limitations. st-pydantic can be easily integrated into any Streamlit app. Beta Version: Only suggested for experimental usage. Try out and explore various examples in our playground here. Highlights 🪄 Auto-generated UI elements from Pydantic models & Dataclasses. 📇 Out-of-the-box data validation. 📑 Supports nested Pydantic models. 📏 Supports field limits and customizations. 🎈 Easy to integrate into any Streamlit app. Getting Started Installation Requirements: Python 3.6+. bash pip install st-pydantic Usage Create a script (my_script.py) with a Pydantic model and render it via pydantic_form: ```python import streamlit as st from pydantic import BaseModel import st_pydantic as sp class ExampleModel(BaseModel): some_text: str some_number: int some_boolean: bool data = sp.pydantic_form(key="my_form", model=ExampleModel) if data: st.json(data.json()) ``` Run the streamlit server on the python script: streamlit run my_script.py You can find additional examples in the examples section below. Examples 👉 Try out and explore these examples in our playground here The following collection of examples demonstrate how Streamlit Pydantic can be applied in more advanced scenarios. You can find additional - even more advanced - examples in the examples folder or in the playground. Simple Form ```python import streamlit as st from pydantic import BaseModel import st_pydantic as sp class ExampleModel(BaseModel): some_text: str some_number: int some_boolean: bool data = sp.pydantic_form(key="my_form", model=ExampleModel) if data: st.json(data.json()) ``` Date Validation ```python import streamlit as st from pydantic import BaseModel, Field, HttpUrl from pydantic.color import Color import st_pydantic as sp class ExampleModel(BaseModel): url: HttpUrl color: Color email: str = Field(..., max_length=100, regex=r"^\S+@\S+$") data = sp.pydantic_form(key="my_form", model=ExampleModel) if data: st.json(data.json()) ``` Dataclasses Support ```python import dataclasses import json import streamlit as st from pydantic.json import pydantic_encoder import st_pydantic as sp @dataclasses.dataclass class ExampleModel: some_number: int some_boolean: bool some_text: str = "default input" data = sp.pydantic_form(key="my_form", model=ExampleModel) if data: st.json(json.dumps(data, default=pydantic_encoder)) ``` Complex Nested Model ```python from enum import Enum from typing import Set import streamlit as st from pydantic import BaseModel, Field, ValidationError, parse_obj_as import st_pydantic as sp class OtherData(BaseModel): text: str integer: int class SelectionValue(str, Enum): FOO = "foo" BAR = "bar" class ExampleModel(BaseModel): long_text: str = Field(..., description="Unlimited text property") integer_in_range: int = Field( 20, ge=10, lt=30, multiple_of=2, description="Number property with a limited range.", ) single_selection: SelectionValue = Field( ..., description="Only select a single item from a set." ) multi_selection: Set[SelectionValue] = Field( ..., description="Allows multiple items from a set." ) single_object: OtherData = Field( ..., description="Another object embedded into this model.", ) data = sp.pydantic_form(key="my_form", model=ExampleModel) if data: st.json(data.json()) ``` Render Input ```python from pydantic import BaseModel import st_pydantic as sp class ExampleModel(BaseModel): some_text: str some_number: int = 10 # Optional some_boolean: bool = True # Option input_data = sp.pydantic_input("model_input", ExampleModel, use_sidebar=True) ``` Render Output ```python import datetime from pydantic import BaseModel, Field import st_pydantic as sp class ExampleModel(BaseModel): text: str = Field(..., description="A text property") integer: int = Field(..., description="An integer property.") date: datetime.date = Field(..., description="A date.") instance = ExampleModel(text="Some text", integer=40, date=datetime.date.today()) sp.pydantic_output(instance) ``` Custom Form ```python import streamlit as st from pydantic import BaseModel import st_pydantic as sp class ExampleModel(BaseModel): some_text: str some_number: int = 10 some_boolean: bool = True with st.form(key="pydantic_form"): sp.pydantic_input(key="my_input_model", model=ExampleModel) submit_button = st.form_submit_button(label="Submit") ``` Support & Feedback | Type | Channel | | ------------------------ | ------------------------------------------------------ | | 🚨 Bug Reports | | | 🎁 Feature Requests | | | 👩‍💻 Usage Questions | | | 📢 Announcements | | Documentation The API documentation can be found here. To generate UI elements, you can use the high-level pydantic_form method. Or the more flexible lower-level pydantic_input and pydantic_output methods. See the examples section on how to use those methods. Contribution Pull requests are encouraged and always welcome. Read our contribution guidelines and check out help-wanted issues. Submit Github issues for any feature request and enhancement, bugs, or documentation problems. By participating in this project, you agree to abide by its Code of Conduct. The development section below contains information on how to build and test the project after you have implemented some changes. Development To build the project and run the style/linter checks, execute: bash make install make check Run make help to see additional commands for development. Licensed MIT. Created and maintained with ❤️ by developers from Berlin.

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Latest version: 0.3.1 Released: 2024-07-21

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