:rocket: feature: Audio recorder

.gitignore

@@ -172,3 +172,11 @@ cython_debug/
 
 # PyPI configuration file
 .pypirc
+
+#Custom
+dataset/
+old/
+*.wav
+
+# Mac
+.DS_Store

app.py

@@ -1,8 +1,7 @@
 import streamlit as st
 from streamlit_option_menu import option_menu
-from views.home import home
-from views.analytics import analytics
-from views.ml import ml
+from views.application import application
+from views.about import about
 
 # Set the logo
 st.sidebar.image("img/logo.png", use_container_width=True)
@@ -15,8 +14,8 @@ with st.sidebar:
     # Navigation menu with icons
     selected_tab = option_menu(
         menu_title=None,  # Added menu_title parameter
-        options=["Home", "Analytics", "Machine Learning"],
-        icons=["house", "bar-chart", "robot"],
+        options=["Application", "About"],
+        icons=["robot", "bar-chart", "robot"],
         menu_icon="cast",
         default_index=0,
         # styles={
@@ -27,26 +26,9 @@ with st.sidebar:
         # }
     )
     
-if selected_tab == "Home":
-    home()
-elif selected_tab == "Analytics":
-    analytics()
-elif selected_tab == "Machine Learning":
-    ml()
-        
-# Quick links section after filters and content
-st.markdown("---")
-col1, col2 = st.columns(2)
-
-with col1:
-    st.markdown("### About")
-    st.write("This dashboard is maintained by the M2 SISE team.")
-    st.write("For more information, please visit the [GitHub repository](https://github.com/jdalfons/sise-ultimate-challenge/tree/main).")
-
-with col2:
-    st.markdown("### Collaborators")
-    st.write("""
-    - [Warrior 1](https://github.com/jdalfons)
-    - [Warrior 2](https://github.com/jdalfons)
-    - [Juan Alfonso](https://github.com/jdalfons)
-    """)
+    
+if selected_tab == "Application":
+    application()
+elif selected_tab == "About":
+    about()
+        

requirements.txt

@@ -0,0 +1,5 @@
+streamlit 
+streamlit_option_menu
+streamlit-audiorecorder 
+scipy 
+numpy 

utils.py

@@ -0,0 +1,4 @@
+import streamlit as st
+import datetime
+
+

views/about.py

@@ -0,0 +1,21 @@
+import streamlit as st
+
+
+def about():
+    st.title("About")
+    
+    col1, col2 = st.columns(2)
+
+    with col1:
+        st.markdown("### About")
+        st.write("This dashboard is maintained by the M2 SISE team.")
+        st.write("For more information, please visit the [GitHub repository](https://github.com/jdalfons/sise-ultimate-challenge/tree/main).")
+
+    with col2:
+        st.markdown("### Collaborators")
+        st.write("""
+        - [Falonne Kpamegan](https://github.com/marinaKpamegan)
+        - [Nancy](https://github.com/yminanc)
+        - [Cyril](https://github.com/Cyr-CK)
+        - [Juan Alfonso](https://github.com/jdalfons)
+        """)

views/analytics.py

@@ -1,12 +0,0 @@
-import streamlit as st
-
-def analytics():
-    st.title("Analytiques")
-    st.write("Welcome to the Analytics page!")
-    st.markdown("""
-        **Overview:**
-        - View your security logs
-        - Analyze data trends
-        - Explore datasets
-        - Apply machine learning models
-    """)

views/application.py

@@ -0,0 +1,40 @@
+import streamlit as st
+import datetime
+import os
+
+DIRECTORY = "audios"
+FILE_NAME = "audio.wav"
+
+def application():
+    st.title("SISE ultimate challenge")
+    st.write("C'est le dernier challenge de la formation SISE.")
+    st.markdown("""
+        **Overview:**
+        - Analyse de logs
+        - Analyse de données
+        - Machine learning
+    """)
+    
+    st.markdown("---")
+    
+    tab1, tab2 = st.tabs(["Record Audio", "Register Audio"])
+
+    with tab1:
+        st.header("Record Audio")
+        st.write("Here you can record audio.")
+        audio_file = st.file_uploader("Upload an audio file", type=["wav", "mp3", "ogg"])
+        if audio_file is not None:
+            
+            with open(f"audios/{FILE_NAME}", "wb") as f:
+                f.write(audio_file.getbuffer())
+                st.success(f"Saved file: {FILE_NAME}")
+
+    with tab2:
+        st.header("Register Audio")
+        st.write("Here you can register audio.")
+        
+
+    file = os.path.join(DIRECTORY, FILE_NAME)
+    if os.path.exists(file):
+        st.markdown("## File registered:")
+        audio_data = st.audio(file, format='audio/wav', start_time=0)

views/home.py

@@ -1,12 +0,0 @@
-import streamlit as st
-
-
-def home():
-    st.title("SISE ultimate challenge")
-    st.write("C'est le dernier challenge de la formation SISE.")
-    st.markdown("""
-        **Overview:**
-        - Analyse de logs
-        - Analyse de données
-        - Machine learning
-    """)

views/ml.py

@@ -1,12 +0,0 @@
-import streamlit as st
-
-
-def ml():
-    st.title("Machine Learning")
-    st.write("Welcome to the Machine Learning page!")
-    st.markdown("""
-        **Overview:**
-        - Train machine learning models
-        - Evaluate model performance
-        - Make predictions
-    """)