diff --git a/src/extract.py b/src/extract.py
new file mode 100755
index 0000000..0528033
--- /dev/null
+++ b/src/extract.py
@@ -0,0 +1,83 @@
+#!/usr/bin/env python3
+
+import sys
+import ollama
+import re
+from pathlib import Path
+import time
+
+def determine_content_type(transcript_text: str) -> str:
+    """Determine the type of content in the transcript."""
+    text = transcript_text.lower()
+    
+    if re.search(r'\bblog post\b', text) or re.search(r'\bdraft\b', text):
+        return "blog_post"
+    elif re.search(r'\bidea\b', text) and re.search(r'\bapp\b', text):
+        return "idea_app"
+    return "default"
+
+def generate_additional_content(content_type: str, transcript_text: str) -> str:
+    """Generate additional content based on the content type."""
+    prompt_dir = Path("prompts")
+    with open(prompt_dir / f"{content_type}.md", 'r', encoding='utf-8') as f:
+        prompt_template = f.read()
+    
+    prompt = prompt_template.format(transcript=transcript_text)
+    response = ollama.chat(model='llama2', messages=[
+        {
+            'role': 'user',
+            'content': prompt
+        }
+    ])
+    return response['message']['content'].strip()
+
+def main():
+    if len(sys.argv) != 2:
+        print("Usage: python extract.py <transcript_file>")
+        sys.exit(1)
+    
+    input_file = Path(sys.argv[1])
+    if not input_file.exists():
+        print(f"Error: File {input_file} does not exist")
+        sys.exit(1)
+    
+    # Set up directory paths
+    voice_memo_dir = Path("VoiceMemos")
+    draft_dir = voice_memo_dir / "drafts"
+    prompt_dir = voice_memo_dir / "prompts"
+    
+    # Create output directories if they don't exist
+    draft_dir.mkdir(parents=True, exist_ok=True)
+    prompt_dir.mkdir(parents=True, exist_ok=True)
+    
+    print(f"Processing transcript: {input_file}")
+    print("Extracting content...")
+    
+    # Read transcript
+    with open(input_file, 'r', encoding='utf-8') as f:
+        transcript_text = f.read()
+    
+    # Determine content type and generate content if needed
+    content_type = determine_content_type(transcript_text)
+    if content_type != "default":
+        print(f"  Generating {content_type} content...")
+        additional_content = generate_additional_content(content_type, transcript_text)
+        
+        # Save to appropriate directory with timestamp
+        timestamp = time.strftime("%Y%m%d_%H%M%S")
+        filename = input_file.stem
+        if content_type == "blog_post":
+            output_file = draft_dir / f"{filename}_{timestamp}.md"
+        else:  # idea_app
+            output_file = prompt_dir / f"{filename}_{timestamp}.md"
+        
+        with open(output_file, 'w', encoding='utf-8') as f:
+            f.write(additional_content)
+        print(f"  Content saved to: {output_file}")
+    else:
+        print("  No blog post or app idea content detected")
+    
+    print("----------------------------------------")
+
+if __name__ == "__main__":
+    main() 
\ No newline at end of file
diff --git a/src/extract.sh b/src/extract.sh
index b7e3b52..45b2ca0 100755
--- a/src/extract.sh
+++ b/src/extract.sh
@@ -15,77 +15,11 @@ if [ ! -f "$input_file" ]; then
     exit 1
 fi
 
-# Set the directory paths
-VOICE_MEMO_DIR="VoiceMemos"
-DRAFT_DIR="$VOICE_MEMO_DIR/drafts"
-PROMPT_DIR="$VOICE_MEMO_DIR/prompts"
-
-# Create output directories if they don't exist
-mkdir -p "$DRAFT_DIR"
-mkdir -p "$PROMPT_DIR"
-
-echo "Processing transcript: $input_file"
-echo "Extracting content..."
-
 # Activate the virtual environment
 source vibenv/bin/activate
 
-# Run the Python script to extract content
-python -c "
-import ollama
-import re
-from pathlib import Path
-import time
-
-def determine_content_type(transcript_text: str) -> str:
-    text = transcript_text.lower()
-    
-    if re.search(r'\bblog post\b', text) or re.search(r'\bdraft\b', text):
-        return 'blog_post'
-    elif re.search(r'\bidea\b', text) and re.search(r'\bapp\b', text):
-        return 'idea_app'
-    return 'default'
-
-def generate_additional_content(content_type: str, transcript_text: str) -> str:
-    prompt_dir = Path('prompts')
-    with open(prompt_dir / f'{content_type}.md', 'r', encoding='utf-8') as f:
-        prompt_template = f.read()
-    
-    prompt = prompt_template.format(transcript=transcript_text)
-    response = ollama.chat(model='llama2', messages=[
-        {
-            'role': 'user',
-            'content': prompt
-        }
-    ])
-    return response['message']['content'].strip()
-
-# Read transcript
-with open('$input_file', 'r', encoding='utf-8') as f:
-    transcript_text = f.read()
-
-# Determine content type and generate content if needed
-content_type = determine_content_type(transcript_text)
-if content_type != 'default':
-    print(f'  Generating {content_type} content...')
-    additional_content = generate_additional_content(content_type, transcript_text)
-    
-    # Save to appropriate directory with timestamp
-    timestamp = time.strftime('%Y%m%d_%H%M%S')
-    filename = Path('$input_file').stem
-    if content_type == 'blog_post':
-        output_file = Path('$DRAFT_DIR') / f'{filename}_{timestamp}.md'
-    else:  # idea_app
-        output_file = Path('$PROMPT_DIR') / f'{filename}_{timestamp}.md'
-    
-    with open(output_file, 'w', encoding='utf-8') as f:
-        f.write(additional_content)
-    print(f'  Content saved to: {output_file}')
-else:
-    print('  No blog post or app idea content detected')
-"
+# Run the Python script
+python extract.py "$input_file"
 
 # Deactivate the virtual environment
-deactivate
-
-echo "----------------------------------------" 
\ No newline at end of file
+deactivate 
\ No newline at end of file
diff --git a/src/summarize.py b/src/summarize.py
new file mode 100755
index 0000000..fd7d0c2
--- /dev/null
+++ b/src/summarize.py
@@ -0,0 +1,58 @@
+#!/usr/bin/env python3
+
+import sys
+import ollama
+from pathlib import Path
+
+def generate_summary(transcript_text: str) -> str:
+    """Generate a summary of the transcript."""
+    prompt_dir = Path("prompts")
+    with open(prompt_dir / "summary.md", 'r', encoding='utf-8') as f:
+        prompt_template = f.read()
+    
+    prompt = prompt_template.format(transcript=transcript_text)
+    response = ollama.chat(model='llama2', messages=[
+        {
+            'role': 'user',
+            'content': prompt
+        }
+    ])
+    return response['message']['content'].strip()
+
+def main():
+    if len(sys.argv) != 2:
+        print("Usage: python summarize.py <transcript_file>")
+        sys.exit(1)
+    
+    input_file = Path(sys.argv[1])
+    if not input_file.exists():
+        print(f"Error: File {input_file} does not exist")
+        sys.exit(1)
+    
+    # Set up directory paths
+    voice_memo_dir = Path("VoiceMemos")
+    summary_dir = voice_memo_dir / "summaries"
+    summary_dir.mkdir(parents=True, exist_ok=True)
+    
+    # Get the filename without the path and extension
+    filename = input_file.stem
+    summary_file = summary_dir / f"{filename}_summary.txt"
+    
+    print(f"Processing transcript: {input_file}")
+    print("Generating summary...")
+    
+    # Read transcript and generate summary
+    with open(input_file, 'r', encoding='utf-8') as f:
+        transcript_text = f.read()
+    
+    summary = generate_summary(transcript_text)
+    
+    # Save summary
+    with open(summary_file, 'w', encoding='utf-8') as f:
+        f.write(summary)
+    
+    print(f"Summary saved to: {summary_file}")
+    print("----------------------------------------")
+
+if __name__ == "__main__":
+    main() 
\ No newline at end of file
diff --git a/src/summarize.sh b/src/summarize.sh
index f013d02..87cdd9b 100755
--- a/src/summarize.sh
+++ b/src/summarize.sh
@@ -15,54 +15,11 @@ if [ ! -f "$input_file" ]; then
     exit 1
 fi
 
-# Set the directory paths
-VOICE_MEMO_DIR="VoiceMemos"
-SUMMARY_DIR="$VOICE_MEMO_DIR/summaries"
-
-# Create summaries directory if it doesn't exist
-mkdir -p "$SUMMARY_DIR"
-
-# Get the filename without the path and extension
-filename=$(basename "$input_file" .txt)
-summary_file="$SUMMARY_DIR/${filename}_summary.txt"
-
-echo "Processing transcript: $input_file"
-echo "Generating summary..."
-
 # Activate the virtual environment
 source vibenv/bin/activate
 
-# Run the Python script to generate the summary
-python -c "
-import ollama
-from pathlib import Path
-
-def generate_summary(transcript_text: str) -> str:
-    prompt_dir = Path('prompts')
-    with open(prompt_dir / 'summary.md', 'r', encoding='utf-8') as f:
-        prompt_template = f.read()
-    
-    prompt = prompt_template.format(transcript=transcript_text)
-    response = ollama.chat(model='llama2', messages=[
-        {
-            'role': 'user',
-            'content': prompt
-        }
-    ])
-    return response['message']['content'].strip()
-
-# Read transcript
-with open('$input_file', 'r', encoding='utf-8') as f:
-    transcript_text = f.read()
-
-# Generate and save summary
-summary = generate_summary(transcript_text)
-with open('$summary_file', 'w', encoding='utf-8') as f:
-    f.write(summary)
-"
+# Run the Python script
+python summarize.py "$input_file"
 
 # Deactivate the virtual environment
-deactivate
-
-echo "Summary saved to: $summary_file"
-echo "----------------------------------------" 
\ No newline at end of file
+deactivate 
\ No newline at end of file