Merge 3c00eb610d4e7845c3492984041790bcb7d48896 into ba3f3cd54b0e5b8ce1ab3de13e32122d0d5f98ab

src/blackbox_m_test.py

@@ -0,0 +1,57 @@
+# Import necessary libraries
+import os
+import glob
+import sqlite3
+from whisper import Whisper
+
+# Initialize Whisper model
+model = Whisper()
+
+# Function to transcribe audio file
+def transcribe_audio(audio_file):
+    transcription = model.transcribe(audio_file)
+    return transcription
+
+# Function to extract audio from video file
+def extract_audio(video_file, output_path):
+    # Use ffmpeg to extract audio from video
+    os.system(f'ffmpeg -i {video_file} -vn -ab 256 {output_path}')
+
+# Function to log file paths and transcriptions
+def log_file(file_path, transcription):
+    # Connect to SQLite database
+    conn = sqlite3.connect('files.db')
+    c = conn.cursor()
+
+    # Create table if it doesn't exist
+    c.execute('''CREATE TABLE IF NOT EXISTS files
+                 (file_path TEXT PRIMARY KEY, transcription TEXT)''')
+
+    # Insert file path and transcription into table
+    c.execute("INSERT OR REPLACE INTO files (file_path, transcription) VALUES (?,?)", (file_path, transcription))
+
+    # Commit changes and close connection
+    conn.commit()
+    conn.close()
+
+# Get list of video and audio files in directories
+video_files = []
+audio_files = []
+for dirpath, dirnames, filenames in os.walk('C:\\Users\\lundg\\Videos'):
+    for filename in filenames:
+        if filename.endswith('.mp4') or filename.endswith('.avi') or filename.endswith('.mkv'):
+            video_files.append(os.path.join(dirpath, filename))
+        elif filename.endswith('.mp3') or filename.endswith('.wav'):
+            audio_files.append(os.path.join(dirpath, filename))
+
+# Extract audio from video files and transcribe
+for video_file in video_files:
+    audio_path = os.path.join(os.path.dirname(video_file), 'audio_' + os.path.basename(video_file))
+    extract_audio(video_file, audio_path)
+    transcription = transcribe_audio(audio_path)
+    log_file(video_file, transcription)
+
+# Transcribe existing audio files
+for audio_file in audio_files:
+    transcription = transcribe_audio(audio_file)
+    log_file(audio_file, transcription)

src/claude_eval.py

@@ -0,0 +1,30 @@
+
+#declare each video path to track down captures
+#specific folders to monitor:
+# C:\Users\lundg\Videos\Captures
+# "C:\Users\lundg\Videos\Clip Champ"
+# "C:\Users\lundg\Videos\Call of Duty  Modern Warfare 3 (2023)"
+# "C:\Users\lundg\Videos\Desktop"
+# "C:\Users\lundg\Videos\SteelSeries Moments"
+# "C:\Users\lundg\Videos\Captures"
+# "C:\Users\lundg\Videos\Fortnite"
+# "C:\Users\lundg\Videos\RealVNC"
+
+#essentially any picture of video under C://Users//lundg//Videoo
+
+# pictures, audio files and video files(and paths) need to be logged for  of all files(videos and pictures in this directories)  and store them in a list
+#each file that is tracked with an object should also be logged in a db?
+
+
+#figure out how to separate audio from video files via an api or cli
+
+#example extract audio from video.mp4 and save it as audio.mp3
+
+
+
+
+
+#user can select a audio file and transcribe it with whisper
+
+#figure out how to design a gui in vscode  that can front end this
+#

src/copilot.py

@@ -0,0 +1,30 @@
+
+#declare each video path to track down captures
+#specific folders to monitor:
+# C:\Users\lundg\Videos\Captures
+# "C:\Users\lundg\Videos\Clip Champ"
+# "C:\Users\lundg\Videos\Call of Duty  Modern Warfare 3 (2023)"
+# "C:\Users\lundg\Videos\Desktop"
+# "C:\Users\lundg\Videos\SteelSeries Moments"
+# "C:\Users\lundg\Videos\Captures"
+# "C:\Users\lundg\Videos\Fortnite"
+# "C:\Users\lundg\Videos\RealVNC"
+
+#essentially any picture of video under C://Users//lundg//Videoo
+
+# pictures, audio files and video files(and paths) need to be logged for  of all files(videos and pictures in this directories)  and store them in a list
+#each file that is tracked with an object should also be logged in a db?
+
+
+#figure out how to separate audio from video files via an api or cli
+
+#example extract audio from video.mp4 and save it as audio.mp3
+
+
+
+
+
+#user can select a audio file and transcribe it with whisper
+
+#figure out how to design a gui in vscode  that can front end this
+#

src/greg.py

@@ -0,0 +1,31 @@
+# fsaf
+
+#declare each video path to track down captures
+#specific folders to monitor:
+# C:\Users\lundg\Videos\Captures
+# "C:\Users\lundg\Videos\Clip Champ"
+# "C:\Users\lundg\Videos\Call of Duty  Modern Warfare 3 (2023)"
+# "C:\Users\lundg\Videos\Desktop"
+# "C:\Users\lundg\Videos\SteelSeries Moments"
+# "C:\Users\lundg\Videos\Captures"
+# "C:\Users\lundg\Videos\Fortnite"
+# "C:\Users\lundg\Videos\RealVNC"
+
+#essentially any picture of video under C://Users//lundg//Videoo
+
+# pictures, audio files and video files(and paths) need to be logged for  of all files(videos and pictures in this directories)  and store them in a list
+#each file that is tracked with an object should also be logged in a db?
+
+
+#figure out how to separate audio from video files via an api or cli
+
+#example extract audio from video.mp4 and save it as audio.mp3
+
+
+
+
+
+#user can select a audio file and transcribe it with whisper
+
+#figure out how to design a gui in vscode  that can front end this
+#

tests/test_audio.py

@@ -17,3 +17,5 @@ def test_audio():
 
     assert np.allclose(mel_from_audio, mel_from_file)
     assert mel_from_audio.max() - mel_from_audio.min() <= 2.0
+
+