Spaces:
Sleeping
Sleeping
jclyo1
commited on
Commit
•
ad4fcaa
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Parent(s):
Duplicate from jclyo1/docker-sandbox
Browse files- .gitattributes +35 -0
- Dockerfile +47 -0
- README.md +11 -0
- main.py +63 -0
- requirements.txt +6 -0
- static/index.html +31 -0
- static/script.js +45 -0
- static/style.css +45 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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*.arrow filter=lfs diff=lfs merge=lfs -text
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*.bin filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.ckpt filter=lfs diff=lfs merge=lfs -text
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*.joblib filter=lfs diff=lfs merge=lfs -text
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*.lfs.* filter=lfs diff=lfs merge=lfs -text
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*.mlmodel filter=lfs diff=lfs merge=lfs -text
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*.model filter=lfs diff=lfs merge=lfs -text
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*.msgpack filter=lfs diff=lfs merge=lfs -text
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*.npy filter=lfs diff=lfs merge=lfs -text
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*.npz filter=lfs diff=lfs merge=lfs -text
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*.onnx filter=lfs diff=lfs merge=lfs -text
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*.ot filter=lfs diff=lfs merge=lfs -text
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*.parquet filter=lfs diff=lfs merge=lfs -text
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*.pb filter=lfs diff=lfs merge=lfs -text
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*.pickle filter=lfs diff=lfs merge=lfs -text
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*.pkl filter=lfs diff=lfs merge=lfs -text
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*.pt filter=lfs diff=lfs merge=lfs -text
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*.pth filter=lfs diff=lfs merge=lfs -text
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*.rar filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Dockerfile
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#FROM python:3.9
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# Using the Ubuntu image (our OS)
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FROM ubuntu:latest
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# Update package manager (apt-get)
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# and install (with the yes flag `-y`)
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# Python and Pip
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RUN apt-get update && apt-get install -y \
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python3-pip \
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wget
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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RUN pip install diffusers transformers accelerate scipy safetensors
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# Set up a new user named "user" with user ID 1000
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RUN useradd -m -u 1000 user
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# Switch to the "user" user
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USER user
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# Set home to the user's home directory
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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# Set the working directory to the user's home directory
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WORKDIR $HOME/app
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# Copy the current directory contents into the container at $HOME/app setting the owner to the user
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COPY --chown=user . $HOME/app
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# Download and uzip truepic-size from Google Drive
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RUN pip install gdown
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RUN gdown --id 1MdXMu8xSuG8WClY3JSgtL3Vy1IWTmWZO
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RUN tar -xf truepic-sign-v0.1.0-ubuntu-latest.tar.gz
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RUN chmod +x truepic-sign
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WORKDIR $HOME/app
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# COPY . .
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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README.md
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---
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title: Docker Sandbox
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emoji: 🚀
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colorFrom: pink
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colorTo: blue
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sdk: docker
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pinned: false
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duplicated_from: jclyo1/docker-sandbox
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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main.py
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from fastapi import FastAPI
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import FileResponse
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import platform
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import subprocess
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import logging
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import urllib.request
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import os
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import json
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import torch
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from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
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app = FastAPI()
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@app.get("/generate")
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def generate_image(prompt):
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model_id = "stabilityai/stable-diffusion-2-1" #CompVis/stable-diffusion-v1-4
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# Use the DPMSolverMultistepScheduler (DPM-Solver++) scheduler here instead
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#pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
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pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4")
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#pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
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#pipe = pipe.to("cuda")
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#prompt = "a photo of an astronaut riding a horse on mars"
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image = pipe(prompt).images[0]
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image.save("static/astronaut_rides_horse.png")
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@app.get("/generate-picsum")
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def generate_picsum(prompt):
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local_filename, headers = urllib.request.urlretrieve(('https://picsum.photos/id/' + prompt + '/800/800'))
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# Data to be written
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assertion = {
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"assertions": [
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{
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"label": "com.truepic.custom.ai",
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"data": {
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"model_name": "Picsum",
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"model_version": "1.0",
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"prompt": prompt
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}
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}
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]
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}
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json_object = json.dumps(assertion, indent=4)
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with open("assertion.json", "w") as outfile:
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outfile.write(json_object)
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subprocess.check_output(['./truepic-sign', 'sign', local_filename, '--profile', 'demo', '--assertions', 'assertion.json', '--output', (os.getcwd() + '/static/output.jpg')])
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return {"response": "success"}
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app.mount("/", StaticFiles(directory="static", html=True), name="static")
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@app.get("/")
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def index() -> FileResponse:
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return FileResponse(path="/app/static/index.html", media_type="text/html")
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requirements.txt
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fastapi==0.74.*
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requests==2.27.*
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sentencepiece==0.1.*
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torch==1.11.*
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transformers==4.*
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uvicorn[standard]==0.17.*
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static/index.html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Fast API 🤗 Space served with Uvicorn</title>
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<link rel="stylesheet" href="style.css" />
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<script type="module" src="script.js"></script>
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<script type="module" src="https://display.truepic.com/truepic_display.es.js"></script>
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</head>
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<body>
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<main>
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<section id="text-gen">
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<h1><span style="text-decoration: line-through;">Text to Image</span> Picsum Images with Signed Attribution</h1>
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<truepic-display><img src="/output.jpg" /></truepic-display>
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<form class="text-gen-form" style="padding:40px 0;">
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<label for="text-gen-input">Enter number between 0 and 999: </label>
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<input
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id="text-gen-input"
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type="text"
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value=""
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style="margin:40px 0;"
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/>
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<button id="text-gen-submit">Submit</button>
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</form>
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<form method="get" id="redirect-form" action="/"></form>
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</section>
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</main>
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</body>
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</html>
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static/script.js
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const textGenForm = document.querySelector('.text-gen-form');
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/*
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const translateText = async (text) => {
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const inferResponse = await fetch(`infer_t5?input=${text}`);
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const inferJson = await inferResponse.json();
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return inferJson.output;
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};
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textGenForm.addEventListener('submit', async (event) => {
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event.preventDefault();
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const textGenInput = document.getElementById('text-gen-input');
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const textGenParagraph = document.querySelector('.text-gen-output');
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try {
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textGenParagraph.textContent = await translateText(textGenInput.value);
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} catch (err) {
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console.error(err);
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}
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});
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*/
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const generateImage = async (text) => {
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const inferResponse = await fetch(`generate-picsum?prompt=${text}`);
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const inferJson = await inferResponse.json();
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return inferJson.output;
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};
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textGenForm.addEventListener('submit', async (event) => {
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event.preventDefault();
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const textGenInput = document.getElementById('text-gen-input');
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try {
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const resp = await generateImage(textGenInput.value);
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document.getElementById("redirect-form").submit();
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} catch (err) {
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console.error(err);
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}
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});
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static/style.css
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body {
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--text: hsl(0 0% 15%);
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padding: 2.5rem;
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font-family: sans-serif;
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color: var(--text);
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}
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body.dark-theme {
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--text: hsl(0 0% 90%);
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background-color: hsl(223 39% 7%);
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}
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main {
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max-width: 80rem;
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text-align: center;
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}
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section {
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display: flex;
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flex-direction: column;
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align-items: center;
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}
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a {
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color: var(--text);
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}
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form {
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width: 30rem;
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margin: 0 auto;
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}
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input {
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width: 100%;
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}
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button {
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cursor: pointer;
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}
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.text-gen-output {
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min-height: 1.2rem;
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margin: 1rem;
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border: 0.5px solid grey;
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}
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