import os
import gradio as gr

API_KEY=os.environ.get('HUGGING_FACE_HUB_TOKEN', None)

article = """---
This space was created using [SD Space Creator](https://huggingface.co/spaces/anzorq/sd-space-creator)."""

gr.Interface.load(
    name="models/darkstorm2150/Protogen_x3.4_Official_Release",
    title="""Protogen X3.4 Official Release""",
    description="""Demo for <a href="https://huggingface.co/darkstorm2150/Protogen_x3.4_Official_Release">Protogen X3.4 Official Release</a> Stable Diffusion model.
    
    # 🤗 No-code Gradio Demo Tutorial

This space contains a Gradio demo that was created **without typing any code**!
It enables you to generate photorealistic images based on a prompt.

Here are the steps to take to create your own demo *in a few minutes* without any code:

1. You can easily create a demo using [this HF space](https://huggingface.co/spaces/anzorq/sd-space-creator). You will have to provide a token with write access to continue as shown in the image below:

<p align="center">
    <img alt="gradio-demo-tutorial-1" src="https://huggingface.co/datasets/group2/tutorial-images/resolve/main/screenshots/1%20-%20gotToSpaceCreationl.PNG">
    <em Enter a WRITE token.</em>
</p>
2. If your token is valid, a prompt will enable you to specify the URL or ID of the model on the HF Hub you would like to use in this demo. For example [darkstorm2150/Protogen_x3.4_Official_Release](https://huggingface.co/darkstorm2150/Protogen_x3.4_Official_Release), which is a diffusion model able to generate photorealistic images from a prompt. Click on "Load model".

<p align="center">
    <img alt="gradio-demo-tutorial-2" src="https://huggingface.co/datasets/group2/tutorial-images/resolve/main/screenshots/4-PasteTokenChooseModel.PNG">
    <em Specify a model.</em>
</p>
3. Then, you can specify a few details about your demo, such as:
    - Name
    - Title
    - Description
    - Space type
    - Hardware (CPU? GPU?)
Click on "Create the space". Your space will now be getting built.

<p align="center">
    <img alt="gradio-demo-tutorial-3" src="https://huggingface.co/datasets/group2/tutorial-images/resolve/main/screenshots/5-SpaceCreated.PNG">
    <em Specify a model.</em>
</p>
4. Once your space is built, you can reach it at https://huggingface.co/spaces/SPACE_NAME.
5. You can enter a prompt to generate an image with the space you just built! The demo embedded in this space was created that way without typing any code!
<p align="center">
    <img alt="gradio-demo-tutorial-5" src="https://huggingface.co/datasets/group2/tutorial-images/resolve/main/screenshots/6-GotYourNewSpace.PNG">
    <em Specify a model.</em>
</p>
""",
    article=article,
    api_key=API_KEY,
    ).queue(concurrency_count=20).launch()