Create video_processor.py

video_processor.py

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+import os
+import requests
+from moviepy.editor import *
+from moviepy.config import change_settings
+from elevenlabs import generate, save
+import tempfile
+
+# Configure moviepy to use ImageMagick if needed
+change_settings({"IMAGEMAGICK_BINARY": "/usr/bin/convert"})
+
+PEXELS_API_KEY = os.getenv("PEXELS_API_KEY")
+ELEVENLABS_API_KEY = os.getenv("ELEVENLABS_API_KEY")
+
+def create_video(video_script, audio_script, summary):
+    """Generate complete educational video"""
+    try:
+        # Step 1: Generate AI voiceover
+        audio = generate(
+            text=audio_script,
+            voice="Rachel",
+            model="eleven_monolingual_v2",
+            api_key=ELEVENLABS_API_KEY
+        )
+        audio_path = os.path.join(tempfile.gettempdir(), "narration.mp3")
+        save(audio, audio_path)
+        
+        # Step 2: Parse video script for scenes
+        scenes = []
+        for scene_text in video_script.split("\n\n"):
+            if "[Visual]:" in scene_text:
+                scene = {
+                    "visual": scene_text.split("[Visual]:")[1].split("[Voiceover]:")[0].strip(),
+                    "voiceover": scene_text.split("[Voiceover]:")[1].strip()
+                }
+                scenes.append(scene)
+        
+        # Step 3: Get Pexels footage for each scene
+        video_clips = []
+        for scene in scenes:
+            # Get stock footage
+            pexels_response = requests.get(
+                f"https://api.pexels.com/videos/search?query={scene['visual']}&per_page=1",
+                headers={"Authorization": PEXELS_API_KEY}
+            )
+            video_url = pexels_response.json()['videos'][0]['video_files'][0]['link']
+            
+            # Download and process clip
+            clip = VideoFileClip(video_url).subclip(0, 8)  # 8 sec per scene
+            clip = clip.resize(height=1080)  # Standardize size
+            video_clips.append(clip)
+        
+        # Step 4: Combine all clips
+        final_video = concatenate_videoclips(video_clips)
+        
+        # Step 5: Add audio
+        audio_clip = AudioFileClip(audio_path)
+        final_video = final_video.set_audio(audio_clip)
+        
+        # Step 6: Add subtitles and watermark
+        def add_subtitle(txt):
+            return TextClip(
+                txt, fontsize=40, color='white',
+                font='Arial-Bold', stroke_color='black', stroke_width=1
+            ).set_position(('center', 'bottom')).set_duration(8)
+        
+        subtitles = [add_subtitle(scene['voiceover']) for scene in scenes]
+        subtitles = concatenate_videoclips(subtitles)
+        
+        watermark = (TextClip("MentorMindz", fontsize=30, color='white')
+                    .set_position(('right', 'top'))
+                    .set_duration(final_video.duration))
+        
+        final_video = CompositeVideoClip([final_video, subtitles, watermark])
+        
+        # Save final video
+        output_path = os.path.join(tempfile.gettempdir(), "final_output.mp4")
+        final_video.write_videofile(
+            output_path,
+            codec='libx264',
+            audio_codec='aac',
+            fps=24
+        )
+        
+        # Upload to storage (in production use S3/Cloudinary)
+        return f"https://your-storage.com/{output_path.split('/')[-1]}"
+    
+    except Exception as e:
+        raise Exception(f"Video creation failed: {str(e)}")