Spaces:
Sleeping
Sleeping
Jianpeng Li
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README.md
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---
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title: server
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app_file: app.py
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sdk: gradio
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sdk_version: 4.1.2
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app.py
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from pathlib import Path
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from fastapi import File, UploadFile
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import uvicorn
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import gradio as gr
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from datetime import datetime
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import sys
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# create a FastAPI app
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app = FastAPI()
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# create a static directory to store the static files
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static_dir = Path('./static')
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static_dir.mkdir(parents=True, exist_ok=True)
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# mount FastAPI StaticFiles server
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app.mount("/static", StaticFiles(directory=static_dir), name="static")
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app.mount("/public", StaticFiles(directory=static_dir), name="static")
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@app.post("/upload")
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def upload(file: UploadFile = File(...)):
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try:
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file_name = f"{datetime.utcnow().strftime('%s')}.html"
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file_path = static_dir / file_name
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print(file_path)
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with open(file_path, 'wb') as f:
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while contents := file.file.read(1024 * 1024):
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f.write(contents)
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except Exception:
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return {"message": "There was an error uploading the file"}
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finally:
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file.file.close()
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return {"message": f"Successfully uploaded {file_path}", "url": f"https://punglee-server.hf.space/{file_path}"}
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def predict(text_input):
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file_name = f"{datetime.utcnow().strftime('%s')}.html"
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file_path = static_dir / file_name
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print(file_path)
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with open(file_path, "w") as f:
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f.write(f"""
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<script src="https://cdn.tailwindcss.com"></script>
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<body class="bg-gray-200 dark:text-white dark:bg-gray-900">
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<h1 class="text-3xl font-bold">
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Hello <i>{text_input}</i> From Gradio Iframe
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</h1>
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<h3>Filename: {file_name}</h3>
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""")
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iframe = f"""<iframe src="/static/{file_name}" width="100%" height="500px"></iframe>"""
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link = f'<a href="/static/{file_name}" target="_blank">{file_name}</a>'
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return link, iframe
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with gr.Blocks() as block:
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gr.Markdown("""
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## Gradio + FastAPI + Static Server
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This is a demo of how to use Gradio with FastAPI and a static server.
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The Gradio app generates dynamic HTML files and stores them in a static directory. FastAPI serves the static files.
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""")
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with gr.Row():
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with gr.Column():
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text_input = gr.Textbox(label="Name")
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markdown = gr.Markdown(label="Output Box")
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new_btn = gr.Button("New")
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with gr.Column():
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html = gr.HTML(label="HTML preview", show_label=True)
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new_btn.click(fn=predict, inputs=[text_input], outputs=[markdown, html])
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# mount Gradio app to FastAPI app
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app = gr.mount_gradio_app(app, block, path="/")
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# serve the app
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if __name__ == "__main__":
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uvicorn.run(app, host="0.0.0.0", port=7860)
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# run the app with
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# python app.py
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# or
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# uvicorn "app:app" --host "0.0.0.0" --port 7860 --reload
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