Update app.py

app.py

@@ -3,6 +3,7 @@ import random
 import gradio as gr
 from groq import Groq
 from moviepy.editor import VideoFileClip, TextClip, CompositeVideoClip
+import numpy as np
 
 # Initialize client with API key
 client = Groq(
@@ -47,6 +48,10 @@ def generate_response(prompt, history, model, temperature, max_tokens, top_p, se
     return response
 
 # Process video function
+from moviepy.editor import VideoFileClip, TextClip, CompositeVideoClip
+from PIL import Image
+
+# Adjusting MoviePy's resize function to use Image.LANCZOS directly
 def process_video(text):
     video_folder = "videos"
     video_files = [os.path.join(video_folder, f) for f in os.listdir(video_folder) if f.endswith(('mp4', 'mov', 'avi', 'mkv'))]
@@ -57,7 +62,16 @@ def process_video(text):
     video = VideoFileClip(selected_video)
     start_time = random.uniform(0, max(0, video.duration - 60))
     video = video.subclip(start_time, min(start_time + 60, video.duration))
-    video = video.resize(height=1920).crop(x1=video.w // 2 - 540, x2=video.w // 2 + 540)
+    
+    # Manually resize using PIL to avoid the issue
+    def resize_image(image, new_size):
+        pil_image = Image.fromarray(image)
+        resized_pil = pil_image.resize(new_size[::-1], Image.LANCZOS)
+        return np.array(resized_pil)
+    
+    new_size = (1080, int(video.h * (1080 / video.w)))
+    video = video.fl_image(lambda image: resize_image(image, new_size))
+    video = video.crop(x1=video.w // 2 - 540, x2=video.w // 2 + 540)
 
     text_lines = text.split()
     text = "\n".join([" ".join(text_lines[i:i+8]) for i in range(0, len(text_lines), 8)])