Update pages/Lifecycle of Machine Learning.py

pages/Lifecycle of Machine Learning.py

@@ -252,7 +252,7 @@ cap = cv2.VideoCapture(video_path)
 
             
             
-            st.write("*Common Issues When Handling vdeo Files*")
+            st.write("*Common Issues When Handling video Files*")
             
             st.write(
                 """
@@ -274,5 +274,63 @@ cap = cv2.VideoCapture(video_path)
 - Control Frame Rate and Prevent Skipping
                 """
             )
+        elif format_selected == "AUDIO":
+            
+            st.subheader("AUDIO Data Format")
+            st.write("*What is it?*")
+            st.write(
+                "MP3,WAV,FLAC,AAC,OGG "
+                )
+            
+            
+            st.write("*How to Read AUDIO Files?*")
+            st.code(
+                
+                """
+            
+
+pip install librosa
+import librosa
+
+# Load the audio file
+audio_path = 'path_to_audio_file.wav'
+y, sr = librosa.load(audio_path, sr=None)  # sr=None to preserve the original sampling rate
+                """,
+                 language="python"
+                
+               
+            )
+
+
+
+
+                
+
+
+            
+            
+            st.write("*Common Issues When Handling audio Files*")
+            
+            st.write(
+                """
+- File not found or Corrupted.
+- Incompatible Codec or Format.
+- Memory Overload or Performance Issues with Large Audios.
+-  Encoding or File Corruption Issues
+                """
+            )
+            
+            
+            
+            st.write("*How to Overcome These Errors/Issues?*")
+            st.write(
+                """
+-  File Not Found or Corrupted: Always check if the file exists before attempting to load it. Handle errors gracefully with try-except.
+- Incompatible Format or Codec: Use pydub or ffmpeg to handle multiple formats, or convert the file to a more compatible format.
+- Memory Overload or Performance Issues: Process the audio in chunks or downsample large files to reduce memory consumption.
+- Encoding or File Corruption Issues: Ensure proper encoding and re-encode files using tools like ffmpeg if necessary.
+                """
+            )
+