Spaces:
Sleeping
Sleeping
| from pathlib import Path | |
| import gradio as gr | |
| from datetime import datetime | |
| import sys | |
| import os | |
| import spaces # necessary to run on Zero. | |
| from spaces.zero.client import _get_token | |
| # create a static directory to store the static files | |
| static_dir = Path('./static') | |
| static_dir.mkdir(parents=True, exist_ok=True) | |
| #os.environ["GRADIO_ALLOWED_PATHS"] = str(static_dir.resolve()) | |
| export GRADIO_ALLOWED_PATHS="/static" | |
| print(os.environ["GRADIO_ALLOWED_PATHS"] ) | |
| def predict(request: gr.Request,text_input): | |
| token = _get_token(request) | |
| file_name = f"{datetime.utcnow().strftime('%s')}.html" | |
| file_path = static_dir / file_name | |
| print(file_path) | |
| with open(file_path, "w") as f: | |
| f.write(f""" | |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <script src="https://cdn.tailwindcss.com"></script> | |
| </head> | |
| <body class="bg-gray-200 dark:text-white dark:bg-gray-900"> | |
| <h1 class="text-3xl font-bold"> | |
| Hello <i>{text_input}</i> From Gradio Iframe | |
| </h1> | |
| <h3>Filename: {file_name}</h3> | |
| </body> | |
| </html> | |
| """) | |
| file_path = static_dir / file_name | |
| os.chmod(file_path, 0o644) | |
| iframe = f'<iframe src="/file=static/{file_name}" width="100%" height="500px"></iframe>' | |
| link = f'<a href="/file=static/{file_name}" target="_blank">{file_name}</a>' | |
| print("Serving file at:", f"/file={file_path}") | |
| return link, iframe | |
| with gr.Blocks() as block: | |
| gr.Markdown(""" | |
| ## Gradio + FastAPI + Static Server | |
| This is a demo of how to use Gradio with FastAPI and a static server. | |
| The Gradio app generates dynamic HTML files and stores them in a static directory. FastAPI serves the static files. | |
| """) | |
| with gr.Row(): | |
| with gr.Column(): | |
| text_input = gr.Textbox(label="Name") | |
| markdown = gr.Markdown(label="Output Box") | |
| new_btn = gr.Button("New") | |
| with gr.Column(): | |
| html = gr.HTML(label="HTML preview", show_label=True) | |
| new_btn.click(fn=predict, inputs=[text_input], outputs=[markdown, html]) | |
| block.launch(debug=True, share=False, ssr_mode=False)#,ssr_mode=False |