sort imports

app/app.py

@@ -1,33 +1,34 @@
-import gradio as gr
-import requests
-from bs4 import BeautifulSoup
+import logging
 import os
 import re
+import shelve
+import shutil
 import subprocess
 import tempfile
-import shutil
 from pathlib import Path
-import logging
+
+import gradio as gr
+import requests
+from bs4 import BeautifulSoup
 from dotenv import load_dotenv
-import shelve
 
 # Import functions from your scripts (assuming they are structured appropriately)
 # It's often better to refactor scripts into functions for easier import
 try:
+    from huggingface_hub import InferenceClient
     from src.create_presentation import (
-        generate_presentation_with_llm,
         DEFAULT_LLM_MODEL,
         DEFAULT_PRESENTATION_PROMPT_TEMPLATE,
+        generate_presentation_with_llm,
     )
-    from src.transcription_to_audio import text_to_speech, VOICE_ID
     from src.create_video import (
-        find_audio_files,
+        cleanup_temp_files,
+        concatenate_clips,
         convert_pdf_to_images,
         create_video_clips,
-        concatenate_clips,
-        cleanup_temp_files,
+        find_audio_files,
     )
-    from huggingface_hub import InferenceClient
+    from src.transcription_to_audio import VOICE_ID, text_to_speech
 except ImportError as e:
     print(f"Error importing script functions: {e}")
     print("Please ensure scripts are in the 'src' directory and structured correctly.")

app/src/create_presentation.py

@@ -1,8 +1,9 @@
+import argparse
 import os
 import re
-from huggingface_hub import InferenceClient
 import time
-import argparse
+
+from huggingface_hub import InferenceClient
 
 # Use the model ID specified in the script's default
 DEFAULT_LLM_MODEL = "CohereLabs/c4ai-command-a-03-2025"  # Model ID from the error log

app/src/create_video.py

@@ -1,6 +1,6 @@
-import os
-import glob
 import argparse
+import glob
+import os
 import sys
 from typing import List, Tuple
 

app/src/transcription_to_audio.py

@@ -13,19 +13,19 @@ This will:
 4. Save audio files in {dir}/audio/{n}.wav format
 """
 
-import re
-import sys
-import os
 import argparse
-import json
 import hashlib
-from pathlib import Path
+import json
 import logging
+import os
+import re
+import sys
 import time
-import requests
+from pathlib import Path
 
-from dotenv import load_dotenv
 import fal_client
+import requests
+from dotenv import load_dotenv
 
 load_dotenv()