Update app.py

app.py

@@ -5,10 +5,6 @@ import shutil
 from typing import Optional, Tuple, Union
 from huggingface_hub import InferenceClient
 from pathlib import Path
-from PIL import Image
-import io
-import time
-
 
 # Initialize Hugging Face Inference Client with fal-ai provider
 client = InferenceClient(
@@ -25,6 +21,7 @@ def cleanup_temp_files():
         for file_path in Path(temp_dir).glob("*.mp4"):
             try:
                 # Remove files older than 5 minutes
+                import time
                 if file_path.stat().st_mtime < (time.time() - 300):
                     file_path.unlink(missing_ok=True)
             except Exception:
@@ -90,37 +87,13 @@ def generate_video_from_image(
             if not os.environ.get("HF_TOKEN") and not api_key:
                 return None, "❌ Please set HF_TOKEN environment variable."
 
-        # Load and resize image if needed
- 
-        
         if isinstance(image, str):
-            img = Image.open(image)
+            with open(image, "rb") as f:
+                input_image = f.read()
         elif isinstance(image, (bytes, bytearray)):
-            img = Image.open(io.BytesIO(image))
+            input_image = image
         else:
             return None, "❌ Invalid image input. Please upload an image."
-        
-        # Resize if image is too large (max 1920x1080)
-        max_width = 1920
-        max_height = 1080
-        
-        if img.width > max_width or img.height > max_height:
-            # Calculate aspect ratio preserving resize
-            ratio = min(max_width / img.width, max_height / img.height)
-            new_width = int(img.width * ratio)
-            new_height = int(img.height * ratio)
-            img = img.resize((new_width, new_height), Image.Resampling.LANCZOS)
-        
-        # Convert back to bytes
-        img_byte_arr = io.BytesIO()
-        # Save as JPEG for smaller file size
-        if img.mode in ('RGBA', 'LA', 'P'):
-            # Convert RGBA/LA/P to RGB
-            rgb_img = Image.new('RGB', img.size, (255, 255, 255))
-            rgb_img.paste(img, mask=img.split()[-1] if img.mode in ('RGBA', 'LA') else None)
-            img = rgb_img
-        img.save(img_byte_arr, format='JPEG', quality=95)
-        input_image = img_byte_arr.getvalue()
 
         video_bytes = temp_client.image_to_video(
             input_image,