From 3f50b98a8f7ed256e5254b738dc2c8f94b8d1a7e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Marvin=20Krau=C3=9Fer?= <koro.no.omo@gmail.com>
Date: Wed, 6 May 2026 20:35:33 +0200
Subject: [PATCH] changed text

---
 website/src/Bird_CNN.jsx | 6 ++----
 website/src/Homepage.jsx | 2 +-
 website/src/Menu.css     | 2 ++
 website/src/index.css    | 4 ++--
 4 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/website/src/Bird_CNN.jsx b/website/src/Bird_CNN.jsx
index d5ff68c..894947e 100644
--- a/website/src/Bird_CNN.jsx
+++ b/website/src/Bird_CNN.jsx
@@ -96,7 +96,7 @@ function Bird_CNN() {
                     <div className='request-box'>
                         <div ref={scrollRefUploadButton} className='input-box'>
                             <div className='button-div'>
-                                <input disabled={loading} ref={fileInputRef} type="file" id='fileUpload' accept="image/jpeg" onChange={handleImage} style={{ display: "none" }} />
+                                <input disabled={loading} ref={fileInputRef} type="file" id='fileUpload' accept="image" onChange={handleImage} style={{ display: "none" }} />
                                 <label htmlFor="fileUpload" className="custom-button">
                                     Select Image
                                 </label>
@@ -140,9 +140,7 @@ function Bird_CNN() {
                     <div className='explanation-box right'>
                         <h3>Model Architecture</h3>
                         <div style={{ display: "inline" }}>
-                            <span>The model used for classification is a convolutional neural network (CNN) based on depthwise separable convolutions, as introduced in the </span>
-                            <a href='https://arxiv.org/pdf/1610.02357' target='_blank' rel='noopener noreferrer'>Xception: Deep Learning with Depthwise Separable Convolutions</a>
-                            <span> paper by François Chollet. The model uses who knows how many layers, a dropout and multiple batchnormalsation.</span>
+                            <span>The model used for classification is a convolutional neural network. The model uses who knows how many layers, a dropout and multiple batchnormalsation.</span>
                         </div>
                     </div>
                 </div>
diff --git a/website/src/Homepage.jsx b/website/src/Homepage.jsx
index 0ad15cb..af346ee 100644
--- a/website/src/Homepage.jsx
+++ b/website/src/Homepage.jsx
@@ -1,7 +1,7 @@
 function Homepage() {
     return (
         <>
-            <h1 style={{ margin: "120px 40px 40px 40px" }}>Ignore this page</h1>
+            <h1 style={{ margin: "120px 40px 40px 40px" }}>Work in Progress, ignore this page and visit other Pages</h1>
         </>
     );
 }
diff --git a/website/src/Menu.css b/website/src/Menu.css
index 46c0094..b4a1963 100644
--- a/website/src/Menu.css
+++ b/website/src/Menu.css
@@ -20,6 +20,8 @@
     display: flex;
     align-items: center;
     justify-content: center;
+    font-size: 1.1rem;
+    font-weight: bold;
 }
 
 .navbar-item:hover {
diff --git a/website/src/index.css b/website/src/index.css
index 62b63c6..2aff8ff 100644
--- a/website/src/index.css
+++ b/website/src/index.css
@@ -3,7 +3,7 @@ html {
     color: rgb(255, 255, 255);
     font-size: 1rem;
     line-height: 1.7;
-    
+
 }
 
 body {
@@ -24,5 +24,5 @@ h4 {
 }
 
 * {
-  box-sizing: border-box;
+    box-sizing: border-box;
 }
\ No newline at end of file