Commit
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326c2f1
1
Parent(s):
1559fdb
add new tabbedinterface
Browse files
README.md
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<h2 align="center">
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<a href=""><img src="https://raw.githubusercontent.com/argilla-io/synthetic-data-generator/main/assets/logo.svg" alt="Synthetic Data Generator Logo" width="80%"></a>
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</h2>
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<h3 align="center">Build
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![Synthetic Data Generator](https://huggingface.co/spaces/argilla/synthetic-data-generator/resolve/main/assets/ui-full.png)
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<p align="center">
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<a href="https://twitter.com/argilla_io">
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<img src="https://img.shields.io/badge/twitter-black?logo=x"/>
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</a>
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<a href="https://www.linkedin.com/company/argilla-io">
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<img src="https://img.shields.io/badge/linkedin-blue?logo=linkedin"/>
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</a>
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<a href="http://hf.co/join/discord">
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<img src="https://img.shields.io/badge/Discord-7289DA?&logo=discord&logoColor=white"/>
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</a>
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</p>
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## Introduction
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Synthetic Data Generator is a tool that allows you to create high-quality datasets for training and fine-tuning language models. It leverages the power of distilabel and LLMs to generate synthetic data tailored to your specific needs.
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By using the Synthetic Data Generator, you can rapidly prototype and create datasets for, accelerating your AI development process.
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## Installation
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You can simply install the package with:
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<h2 align="center">
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<a href=""><img src="https://raw.githubusercontent.com/argilla-io/synthetic-data-generator/main/assets/logo.svg" alt="Synthetic Data Generator Logo" width="80%"></a>
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</h2>
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<h3 align="center">Build datasets using natural language</h3>
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![Synthetic Data Generator](https://huggingface.co/spaces/argilla/synthetic-data-generator/resolve/main/assets/ui-full.png)
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## Introduction
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Synthetic Data Generator is a tool that allows you to create high-quality datasets for training and fine-tuning language models. It leverages the power of distilabel and LLMs to generate synthetic data tailored to your specific needs.
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By using the Synthetic Data Generator, you can rapidly prototype and create datasets for, accelerating your AI development process.
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<p align="center">
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<a href="https://twitter.com/argilla_io">
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<img src="https://img.shields.io/badge/twitter-black?logo=x"/>
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</a>
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<a href="https://www.linkedin.com/company/argilla-io">
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<img src="https://img.shields.io/badge/linkedin-blue?logo=linkedin"/>
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</a>
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<a href="http://hf.co/join/discord">
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<img src="https://img.shields.io/badge/Discord-7289DA?&logo=discord&logoColor=white"/>
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</a>
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</p>
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## Installation
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You can simply install the package with:
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src/synthetic_dataset_generator/_tabbedinterface.py
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a Gradio Tabbed Interface for the given interfaces
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"""
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super().__init__(
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title=
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theme=theme,
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analytics_enabled=analytics_enabled,
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mode="tabbed_interface",
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if tab_names is None:
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tab_names = [f"Tab {i}" for i in range(len(interface_list))]
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with self:
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h3 = "<div style='text-align: center;'><
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if title:
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gr.HTML(value=title + h3)
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gr.LoginButton(value="Sign in", variant="primary", scale=2)
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a Gradio Tabbed Interface for the given interfaces
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"""
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super().__init__(
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title="Synthetic Data Generator",
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theme=theme,
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analytics_enabled=analytics_enabled,
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mode="tabbed_interface",
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if tab_names is None:
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tab_names = [f"Tab {i}" for i in range(len(interface_list))]
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with self:
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h3 = "<div style='text-align: center;'><h2>Build datasets using natural language</h2></div>"
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if title:
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gr.HTML(value=title + h3)
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gr.LoginButton(value="Sign in", variant="primary", scale=2)
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src/synthetic_dataset_generator/app.py
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.main_ui_logged_out{opacity: 0.3; pointer-events: none}
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"""
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image = """<br><img src="https://raw.githubusercontent.com/argilla-io/synthetic-data-generator/main/assets/logo.svg" alt="Synthetic Data Generator Logo" style="display: block; margin-left: auto; margin-right: auto; width:
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demo = TabbedInterface(
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[textcat_app, sft_app, eval_app, faq_app],
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.main_ui_logged_out{opacity: 0.3; pointer-events: none}
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"""
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image = """<br><img src="https://raw.githubusercontent.com/argilla-io/synthetic-data-generator/main/assets/logo.svg" alt="Synthetic Data Generator Logo" style="display: block; margin-left: auto; margin-right: auto; width: 50%;"/>"""
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demo = TabbedInterface(
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[textcat_app, sft_app, eval_app, faq_app],
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