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<!DOCTYPE html>
<html>
<head>
<title>HuggingFace.API.Model.Chain.Childrens.Bedtime.Stories.Generator</title>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta description="HuggingFace.API.Model.Chain.Childrens.Bedtime.Stories.Generator">
<meta author="JoPmt aka Wes">
</head>
<body style="height:100%;width:100%;text-align:center;background-color:#000000;color:#FFA500;background-position:center;background-repeat:repeat;background-size:contain;">
<h1 style="padding:4%,4%,4%,4%;">HuggingFace Children's Bedtime Story Generator?</h1>
<h6>StabilityAI OpenJourney Runwayml Stable-Diffusion AI Models API Chaining text-to-image,text-to-text Demo</h6>
<form style="border: solid 1px; border-color: #FFA500;">
<label for="input-text">Huggingface.Model.Chain.Demo.Interface:</label>
<br>
<textarea style="text-align:center; justify-content: center; background-color:#00000070; color: white; border: solid 1px; border-color: #FFA500;" id="input-text" name="input-text" rows="5" cols="40" required></textarea>
<br>
<button type="submit">Generate Content</button>
</form>
<div style="padding:10%;;width:80%;text-align:center;horizontal-align:center;items-align:center;align-items:center;justify-content:center;font-size:1.5em;" id="response-container"></div>
<div style="text-align:center; display:flex;items-align:center;align-items:center;justify-content:center; overflow:auto;" width="80%" height="30%" id="image-container"></div>
<script>
var form = document.querySelector('form');
var responseContainer = document.querySelector('#response-container');
var imgContainer = document.querySelector('#image-container');
//var image = document.querySelector('#fooy');
var hldr;
var meema = "";
var allumettes = [];
var HF_API;
imgContainer.addEventListener('touchstart', function (event) {
if (event.target && event.target.matches("img")) {
document.body.style.backgroundImage = "url('" + event.target.src + "')";
}
});
async function stabilitytwoone(){
try {
var anputText = ''+allumettes[0]+' ' + document.querySelector('#input-text').value + '';
var apiUrl = 'https://api-inference.huggingface.co/models/stabilityai/stable-diffusion-2-1';
var aeaders = new Headers();
aeaders.append('Authorization', 'Bearer ' + HF_API + '');
aeaders.append('Accept', 'image/jpeg'),
aeaders.append('Content-Type', 'application/json');
var aody = JSON.stringify({ inputs: "In Cinematographic Cartoon style render: " + anputText + " " + Date.now() + "", options: { wait_for_model: true } });
var aequestOptions = {
method: 'POST',
headers: aeaders,
body: aody,
responseType: "blob",
redirect: 'follow',
};
var aesponse = await fetch(apiUrl, aequestOptions).then((aesponse) => aesponse.blob()).then((alob) => {
var abjectURL = URL.createObjectURL(alob);
var vat = document.createElement('p');
vat.style.setProperty("border","solid 1px");
vat.style.setProperty("color","#FFA500");
vat.style.setProperty("width","18%");
vat.style.setProperty("display","block");
vat.style.setProperty("background-color", "#00000080");
vat.innerHTML = '<img style="object-fit:contain;" width="100%" src="' + abjectURL + '" type="image/jpeg"></img>';
imgContainer.insertBefore(vat, imgContainer.firstChild);
document.body.style.backgroundImage = "url('" + vat.querySelector('img').src + "')";
}).catch((erran) => { stabilitytwoone(); });
} catch(errar){ responseContainer.innerHTML += "outerstabilitycatched: " +errar+ ""; };
};
async function pmpthero(){
try {
var bnputText = ''+allumettes[1]+' ' + document.querySelector('#input-text').value + '';
var bpiUrl = 'https://api-inference.huggingface.co/models/prompthero/openjourney';
var beaders = new Headers();
beaders.append('Authorization', 'Bearer ' + HF_API + '');
beaders.append('Accept', 'image/jpeg'),
beaders.append('Content-Type', 'application/json');
var body = JSON.stringify({ inputs: "In Cinematographic Cartoon style render: " + bnputText + " " + Date.now() + "", options: { wait_for_model: true, } });
var bequestOptions = {
method: 'POST',
headers: beaders,
body: body,
responseType: "blob",
redirect: 'follow',
};
var besponse = await fetch(bpiUrl, bequestOptions).then((besponse) => besponse.blob()).then((blob) => {
var bbjectURL = URL.createObjectURL(blob);
var vbt = document.createElement('p');
vbt.style.setProperty("border","solid 1px");
vbt.style.setProperty("width","18%");
vbt.style.setProperty("display","block");
vbt.style.setProperty("color","#FFA500");
vbt.style.setProperty("background-color", "#00000080");
vbt.innerHTML += '<img style="object-fit:contain;" width="100%" src="' + bbjectURL + '" type="image/jpeg"></img>';
imgContainer.insertBefore(vbt, imgContainer.firstChild);
document.body.style.backgroundImage = "url('" + vbt.querySelector('img').src + "')";
}).catch((errbn) => { pmpthero(); });
} catch(errbr){ responseContainer.innerHTML += "outercatched: " +errbr+ ""; };
};
async function ruwayonefive(){
try {
var cnputText = ''+allumettes[2]+' ' + document.querySelector('#input-text').value + '';
var cpiUrl = 'https://api-inference.huggingface.co/models/runwayml/stable-diffusion-v1-5';
var ceaders = new Headers();
ceaders.append('Authorization', 'Bearer ' + HF_API + '');
ceaders.append('Accept', 'image/jpeg'),
ceaders.append('Content-Type', 'application/json');
var cody = JSON.stringify({ inputs: "In Cinematographic Cartoon style render: " + cnputText + " " + Date.now() + "", options: { wait_for_model: true } });
var cequestOptions = {
method: 'POST',
headers: ceaders,
body: cody,
responseType: "blob",
redirect: 'follow',
};
var cesponse = await fetch(cpiUrl, cequestOptions).then((cesponse) => cesponse.blob()).then((clob) => {
var cbjectURL = URL.createObjectURL(clob);
var vct = document.createElement('p');
vct.style.setProperty("border","solid 1px");
vct.style.setProperty("width","18%");
vct.style.setProperty("display","block");
vct.style.setProperty("color","#FFA500");
vct.style.setProperty("background-color", "#00000080");
vct.innerHTML += '<img style="object-fit:contain;" width="100%" src="' + cbjectURL + '" type="image/jpeg"></img>';
imgContainer.insertBefore(vct, imgContainer.firstChild);
document.body.style.backgroundImage = "url('" + vct.querySelector('img').src + "')";
}).catch((errpn) => { ruwayonefive(); });
} catch(errdr){ responseContainer.innerHTML += "outercatched: " +errdr+ ""; };
};
async function vjdj(){
try {
var jnputText = document.querySelector('#input-text').value;
var jpiUrl = 'https://ramv-chatrobo-ii.hf.space/run/predict';
var jeaders = new Headers();
jeaders.append('Content-Type', 'application/json');
var jody = JSON.stringify({ data: ["in 67 words or less, write a short childrens bedtime story about " + jnputText + ". The story: ",], options: { wait_for_model: true } });
var jequestOptions = {
method: 'POST',
headers: jeaders,
body: jody,
responseType: "json",
redirect: 'follow'
};
var jesponse = await fetch(jpiUrl, jequestOptions);
var jata = await jesponse.json();
var vjzt = document.createElement('center');
var vjt = document.createElement('p');
vjt.style.setProperty("border","solid 1px");
vjt.style.setProperty("color","#FFA500");
vjt.style.setProperty("background-color", "#00000080");
var seema = "" + jata.data[0] + "";
var gleema = "" + seema.replace(/Q\: /g, '') + "";
meema = "" + gleema.replace(/A\: /g, '') + "";
vjt.innerHTML += "" + meema + "";
var fluke = meema.match(/[^\.!\?]+[\.!\?]+/g);
allumettes = [...fluke];
vjzt.appendChild(vjt);
responseContainer.insertBefore(vjzt, responseContainer.firstChild);
} catch(errcr){ await vjdj(); };
};
try {
form.addEventListener('submit', async (event) => {
event.preventDefault();
if (HF_API == null){
HF_API = prompt("Enter your HF_API key");
}
await vjdj();
stabilitytwoone();
pmpthero();
ruwayonefive();
document.querySelector('#input-text').value = '';
});
} catch(errwr){ responseContainer.innerHTML += "outermaincatched: " +errwr+ ""; };
</script>
</body>
</html> |