diff --git a/main.css b/main.css
index 714f94151fb05b21f7b97b82ae59b5b0451eba0e..2809b97ab78b93e5bd95cac605ae5843319d9f8c 100644
--- a/main.css
+++ b/main.css
@@ -20,7 +20,7 @@ main {
margin: 20px auto;
padding: 20px;
background-color: #fff;
- border-radius: 8px;
+ border-radius: 2px;
box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1);
}
@@ -33,12 +33,53 @@ h1, {
}
h2, {
+ margin-bottom: 0;
color: #333;
}
+.main {
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ min-height: 100vh;
+}
+
+.developers {
+ display: flex;
+ flex-wrap: wrap;
+ gap: 20px;
+}
+
+.developer {
+ margin-bottom: 0px;
+ display: flex;
+ flex-direction: column;
+ align-items: center;
+ max-width: 400px;
+ text-align: center;
+}
+
+.circular-image {
+ width: 170px;
+ height: 170px;
+ border-radius: 50%;
+ overflow: hidden;
+}
+
+.circular-image img {
+ width: 100%;
+ height: 100%;
+ object-fit: cover;
+}
+
+.description {
+ margin-top: 0px;
+}
+
footer {
text-align: center;
background-color: #B5C18E;
color: #fff;
- padding: 10px 0;
-}
\ No newline at end of file
+ padding: 20px 0;
+}
+
diff --git a/main.html b/main.html
index 121ed74216fcd13b7cf68a89d99ad3e974db84e9..8509532b827fe4d58ee356f08fbafbea4cbafc35 100644
--- a/main.html
+++ b/main.html
@@ -15,28 +15,74 @@
<main>
<section>
- <h2>About</h2>
- <p>This project is a chrome extension that acts to remind users to keep their comments positive online with image popups to make the internet a more inclusive and accepting space. It uses generative AI to detect hate speech. This AI was trained using varius kaggle data sets and idividual promts. </p>
+ <h2>Our Mission</h2>
+ <p>Our mission is to foster a more inclusive online community by empowering individuals to recongnize and refrain from using hateful language. In the form of a chrome extension, we envision our product to promote respectful and empathetic communication, creaing a safer, more inclusive enviorment for all users. Together, we can contribute to a positive digital culture that celebrates diversity and open communication through meaninful dialogue.</p>
</section>
-
+
+ <section>
+ <h2>Product Vision</h2>
+ <p>Our product is a downloadable chrome extension that uses AI to detect hate speech. This AI (add more info about the AI and how it was trained). </p>
+ </section>
+
<section>
<h2>About Us</h2>
- <ul>
- <li>Maggie Kocorowski</li>
- <li>Christy Tran</li>
- <li>Andersen Hu</li>
- <li> Ivy Shao</li>
- </ul>
+ <section class="main">
+ <section class="developers">
+ <div class="developer">
+ <div class="circular-image">
+ <img src="./christy_headshot.jpg" alt="Christy headshot">
+ </div>
+ <div class="description">
+ <h2>Christy Tran</h2>
+ <p>Developer</p>
+ <p>ctt57@drexel.edu</p>
+ </div>
+ </div>
+
+ <div class="developer">
+ <div class="circular-image">
+ <img src="./Andersenheadshot.jpg" alt="Andersen headshot">
+ </div>
+ <div class="description">
+ <h2>Andersen Hu</h2>
+ <p>Researcher</p>
+ <p>ah3779@drexel.edu</p>
+ </div>
+ </div>
+
+ <div class="developer">
+ <div class="circular-image">
+ <img src="./maggieheadshot.jpg" alt="Maggie headshot">
+ </div>
+ <div class="description">
+ <h2>Maggie Kocorowski</h2>
+ <p>Front End Designer</p>
+ <p>mjk488@drexel.edu</p>
+ </div>
+ </div>
+
+ <div class="developer">
+ <div class="circular-image">
+ <img src="./ivy_headshot.jpg" alt="Ivy headshot">
+ </div>
+ <div class="description">
+ <h2>Ivy Shao</h2>
+ <p>AI Trainer</p>
+ <p>is485@drexel.edu</p>
+ </div>
+ </div>
+ </section>
+ </section>
</section>
<section>
<h2>Contact</h2>
- <p>You can reach us at ...@drexel.edu</p>
+ <p>You can reach us at mjk488@drexel.edu</p>
</section>
</main>
<footer>
- <p>© 2024 Your Website. All rights reserved.</p>
+ <p>© 2024 Sentiment Scanner. All rights reserved.</p>
</footer>
</body>
</html>
diff --git a/main.py b/main.py
index d6e9d7f2c3e08dc814173ed17519bac8549e6d38..139597f9cb07c5d48bed18984ec4747f4b4f3438 100644
--- a/main.py
+++ b/main.py
@@ -1,17 +1,2 @@
-from textblob import TextBlob
-from newspaper import Article
-url = "FIXME"
-article = Article(url)
-
-article.download()
-article.parse()
-article.nlp()
-
-text = article.summary
-print(text)
-
-blob = TextBlob(text)
-sentiment = blob.sentiment.polarity_# -1 to 1
-print(sentiment)