Update app.py

app.py

@@ -163,7 +163,7 @@ def main():
 
     if website_menu == "Emotion Recognition":
         st.sidebar.subheader("Model")
-        model_type = st.sidebar.selectbox("How would you like to predict?", ("mfccs", "mel-specs"))
+        model_type = st.sidebar.selectbox("How would you like to predict?", ("mfccs"))
         em3 = em6 = em7 = gender = False
         st.sidebar.subheader("Settings")
 
@@ -407,24 +407,24 @@ def main():
         st.subheader("Student Details")
         txt = """
                 Student information include;
-                * Student Name: Adewuyi Gbenga Kolawole
-                * Student Matric No: HNDCOM/22/035
-                * Session: 2022/2023
-                * Class: HND 2
-                * Level: 300L
+                * Student Name: **Adewuyi Gbenga Kolawole**
+                * Student Matric No: **HNDCOM/22/035**
+                * Session: **2022/2023**
+                * Class: **HND 2**
+                * Level: **400L**
               """
         st.markdown(txt, unsafe_allow_html=True)
 
         st.subheader("Theory")
-        link = '[Theory behind - ]'
-        st.markdown(link + ":clap::clap::clap: Tal!", unsafe_allow_html=True)
+        link = '[Theory behind - the project(emotion recognition) ]'
+        st.markdown(link + ":clap::clap::clap:", unsafe_allow_html=True)
         with st.expander("See Wikipedia definition"):
             components.iframe("https://en.wikipedia.org/wiki/Emotion_recognition",
                               height=320, scrolling=True)
 
         st.subheader("Dataset")
         txt = """
-            This machine learning web-application PROJECT is a partial fulfillment of requirement of Higher  National Diploma (HND) computer science **The Federal College of Animal Health and Production Technology**  **FCAHPTIB, 2023**. 
+            This machine learning web-application PROJECT is a partial fulfillment of requirement in Higher  National Diploma (HND) computer science **The Federal College of Animal Health and Production Technology**  **FCAHPTIB, 2023**. 
 
             Datasets used in this project
             * Crowd-sourced Emotional Mutimodal Actors Dataset (**Crema-D**)