Update app.py

app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import whisper
 from sklearn.feature_extraction.text import TfidfVectorizer
 from sklearn.metrics.pairwise import cosine_similarity
+import base64
 
 st.set_page_config(
     page_title="Sing It Forward App",
@@ -16,31 +17,13 @@ st.markdown(
         border-radius: 10px;
     }
     a {
-        color: black !important
+        color: #EDA67C !important
     }    
     </style>
     """,
     unsafe_allow_html=True
 )
 
-
-# background_image_url = "https://static.vecteezy.com/system/resources/previews/020/333/164/non_2x/stephen-foster-memorial-day-illustration-with-copy-space-area-and-blue-background-suitable-to-use-on-memorial-day-event-vector.jpg"
-# st.markdown(
-#     f"""
-#     <style>
-#     .stApp {{
-#         background-image: url("{background_image_url}");
-#         background-size: cover;
-#         background-position: center;
-#         background-repeat: no-repeat;
-#     }}
-#     </style>
-#     """,
-#     unsafe_allow_html=True
-# )
-
-import base64
-
 def load_image(image_file):
     with open(image_file, "rb") as f:
         return f.read()
@@ -48,7 +31,6 @@ def load_image(image_file):
 image_data = load_image("bcg.jpg")  
 image_base64 = base64.b64encode(image_data).decode()
 
-
 st.markdown(
     f"""
     <style>
@@ -63,12 +45,6 @@ st.markdown(
     unsafe_allow_html=True
 )
 
-
-
-
-
-
-
 st.markdown("<h1 style='text-align: center; margin-bottom: 5px;'>Sing It Forward App🎵</h1>", unsafe_allow_html=True)
 
 description = """
@@ -81,8 +57,8 @@ Let’s see if you can hit the right notes and showcase your talent! Unleash you
 </p>
 
 📌For any questions or contact:  
-**Name:** <span style="color: black;">Sahand Khorsandi</span>  
-**Email:** <a href="mailto:[email protected]" style="color: black;">[email protected]</a>"""
+**Name:** <span style="color: #EDA67C;">Sahand Khorsandi</span>  
+**Email:** <a href="mailto:[email protected]" style="color: #EDA67C;">[email protected]</a>"""
 st.markdown(description, unsafe_allow_html=True)
 st.write('------')
 
@@ -90,6 +66,8 @@ st.write('------')
 
 
 
+
+
 def cosine_sim(text1, text2):
     vectorizer = TfidfVectorizer().fit_transform([text1, text2])
     vectors = vectorizer.toarray()