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1
Topallaj Denis commited on
Commit
184c542
·
1 Parent(s): f3d848c

add index html file

Browse files
Files changed (2) hide show
  1. main.py +11 -1
  2. static/index.html +119 -0
main.py CHANGED
@@ -1,5 +1,7 @@
1
  from fastapi import FastAPI
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  from fastapi.middleware.cors import CORSMiddleware
 
 
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  from typing import Dict, List, Any, Tuple
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  import pickle
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  import math
@@ -28,7 +30,15 @@ tokenizer = T5Tokenizer.from_pretrained(
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  model = T5EncoderModel.from_pretrained(
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  "Rostlab/prot_t5_xl_half_uniref50-enc")
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- @app.get("/predict")
 
 
 
 
 
 
 
 
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  def predict_UniKP_values(
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  sequence: str,
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  smiles: str
 
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  from fastapi import FastAPI
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  from fastapi.middleware.cors import CORSMiddleware
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+ from fastapi.staticfiles import StaticFiles
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+ from fastapi.responses import FileResponse
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  from typing import Dict, List, Any, Tuple
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  import pickle
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  import math
 
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  model = T5EncoderModel.from_pretrained(
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  "Rostlab/prot_t5_xl_half_uniref50-enc")
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+
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+ app.mount("/", StaticFiles(directory="static", html=True), name="static")
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+
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+
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+ @app.get("/")
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+ def home() -> FileResponse:
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+ return FileResponse(path="/app/static/index.html", media_type="text/html")
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+
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+ @app.post("/predict")
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  def predict_UniKP_values(
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  sequence: str,
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  smiles: str
static/index.html ADDED
@@ -0,0 +1,119 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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>UniKP App</title>
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+ <style>
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+ body {
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+ font-family: Arial, sans-serif;
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+ margin: 0;
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+ padding: 0;
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+ background-color: #f4f4f4;
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+ }
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+ .container {
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+ max-width: 600px;
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+ margin: 50px auto;
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+ padding: 20px;
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+ background-color: #fff;
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+ border-radius: 8px;
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+ box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
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+ }
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+ h1 {
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+ text-align: center;
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+ margin-bottom: 20px;
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+ }
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+ label {
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+ display: block;
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+ margin-bottom: 10px;
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+ }
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+ input[type="text"] {
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+ width: 100%;
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+ padding: 10px;
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+ margin-bottom: 20px;
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+ border: 1px solid #ccc;
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+ border-radius: 5px;
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+ }
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+ input[type="submit"] {
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+ width: 100%;
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+ padding: 10px;
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+ background-color: #007bff;
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+ color: #fff;
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+ border: none;
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+ border-radius: 5px;
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+ cursor: pointer;
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+ transition: background-color 0.3s ease;
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+ }
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+ input[type="submit"]:hover {
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+ background-color: #0056b3;
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+ }
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+ </style>
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+ </head>
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+ <body>
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+ <div class="container">
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+ <h1>UniKP App</h1>
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+ <p>
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+ This HF app uses the UniKP framework. Be sure to check it out on
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+ <a href="https://github.com/Luo-SynBioLab/UniKP"> GitHub</a>
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+ </p>
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+ <form action="/predict" method="post">
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+ <label for="sequence">Sequence:</label>
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+ <input
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+ type="text"
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+ id="sequence"
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+ name="sequence"
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+ placeholder="Enter sequence here"
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+ required
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+ />
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+ <label for="substrate">Substrate (SMILES):</label>
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+ <input
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+ type="text"
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+ id="substrate"
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+ name="smiles"
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+ placeholder="Enter substrate SMILES here"
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+ required
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+ />
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+ <input type="submit" value="Predict" />
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+ </form>
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+ </div>
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+ <div id="result-container"></div>
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+
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+ <script>
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+ // JavaScript code to handle form submission and result display
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+ document.getElementById("predict-form").addEventListener("submit", function(event) {
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+ event.preventDefault(); // Prevent default form submission
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+
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+ // Get form data
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+ var sequence = document.getElementById("sequence").value;
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+ var smiles = document.getElementById("substrate").value;
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+
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+ // Create request body
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+ var requestBody = {
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+ sequence: sequence,
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+ smiles: smiles
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+ };
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+
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+ // Send POST request to /predict endpoint
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+ fetch("/predict", {
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+ method: "POST",
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+ headers: {
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+ "Content-Type": "application/json"
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+ },
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+ body: JSON.stringify(requestBody)
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+ })
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+ .then(response => response.json())
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+ .then(data => {
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+ // Display result in result-container
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+ var resultHtml = "<h2>Prediction Result:</h2>";
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+ resultHtml += "<p>Km: " + data.Km + "</p>";
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+ resultHtml += "<p>Kcat: " + data.Kcat + "</p>";
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+ resultHtml += "<p>Vmax: " + data.Vmax + "</p>";
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+ document.getElementById("result-container").innerHTML = resultHtml;
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+ })
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+ .catch(error => {
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+ console.error("Error:", error);
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+ });
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+ });
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+ </script>
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+ </body>
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+ </html>