Create app.py

app.py

@@ -1,20 +1,7 @@
-
-
 # Import necessary libraries
 from kokoro import KPipeline
-
-import soundfile as sf
-import torch
-
 import soundfile as sf
 import os
-from moviepy.editor import VideoFileClip, AudioFileClip, ImageClip
-from PIL import Image
-import tempfile
-import random
-import cv2
-import math
-import os, requests, io, time, re, random
 from moviepy.editor import (
     VideoFileClip, concatenate_videoclips, AudioFileClip, ImageClip,
     CompositeVideoClip, TextClip
@@ -22,136 +9,81 @@ from moviepy.editor import (
 import moviepy.video.fx.all as vfx
 import moviepy.config as mpy_config
 from pydub import AudioSegment
-from pydub.generators import Sine
-
-from PIL import Image, ImageDraw, ImageFont
-import numpy as np
-from bs4 import BeautifulSoup
-import base64
-from urllib.parse import quote
-import pysrt
+from PIL import Image
+import tempfile
+import random
+import cv2
+import math
+import requests
 from gtts import gTTS
-import gradio as gr  # Import Gradio
+import gradio as gr
+import numpy as np
+import shutil
 
-# Initialize Kokoro TTS pipeline (using American English)
-pipeline = KPipeline(lang_code='a')  # Use voice 'af_heart' for American English
-# Ensure ImageMagick binary is set
+# Initialize Kokoro TTS pipeline
+pipeline = KPipeline(lang_code='a')
+# Ensure ImageMagick binary is set (adjust path as needed)
 mpy_config.change_settings({"IMAGEMAGICK_BINARY": "/usr/bin/convert"})
 
-# ---------------- Global Configuration ---------------- #
+# Global Configuration
 PEXELS_API_KEY = 'BhJqbcdm9Vi90KqzXKAhnEHGsuFNv4irXuOjWtT761U49lRzo03qBGna'
 OPENROUTER_API_KEY = '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'
 OPENROUTER_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free"
 OUTPUT_VIDEO_FILENAME = "final_video.mp4"
 USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
+MAX_CLIPS = 10  # Maximum number of editable clips
 
-# ---------------- Helper Functions ---------------- #
-# (Your existing helper functions remain unchanged: generate_script, parse_script,
-# search_pexels_videos, search_pexels_images, search_google_images, download_image,
-# download_video, generate_media, generate_tts, apply_kenburns_effect,
-# resize_to_fill, find_mp3_files, add_background_music, create_clip,
-# fix_imagemagick_policy)
-
-# Define these globally as they were in your original code but will be set per run
-TARGET_RESOLUTION = None
-CAPTION_COLOR = None
-TEMP_FOLDER = None
+# Temporary folder setup
+TEMP_FOLDER = tempfile.mkdtemp()
 
+# Existing Helper Functions (unchanged)
 def generate_script(user_input):
-    """Generate documentary script with proper OpenRouter handling."""
     headers = {
         'Authorization': f'Bearer {OPENROUTER_API_KEY}',
         'HTTP-Referer': 'https://your-domain.com',
         'X-Title': 'AI Documentary Maker'
     }
-
     prompt = f"""Short Documentary Script GeneratorInstructions:
-
 If I say "use this," just output the script exactly as I gave it.
 If I only give topics, generate a script based on them.
 If I provide a full script, rewrite it without any changes. Make everything short simple and humarous funny and act as serious but humarous. And don't say anything off topic. Also alway say a funny statement to subscribe based on the video topic at the end. Use normal conversational text like a normal person talking and avoid AI phase make the statements humanize and normal conversational
 And always talk negative views don't really wants any positive statement and the full script will be one video about one topic so keep in mind
 Formatting Rules:
-
-
 Title in Square Brackets:
-
-
 Each section starts with a one-word title inside [ ] (max two words if necessary).
 This title will be used as a search term for Pexels footage.
-
-
-
 Casual & Funny Narration:
-
-
 Each section has 5-10 words of narration.
 Keep it natural, funny, and unpredictable (not robotic, poetic, or rhythmic).
-
-
-
 No Special Formatting:
-
-
 No bold, italics, or special characters. You are a assistant AI your task is to create script. You aren't a chatbot. So, don't write extra text
-
-
-
 Generalized Search Terms:
-
-
 If a term is too specific, make it more general for Pexels search.
-
-
-
 Scene-Specific Writing:
-
-
 Each section describes only what should be shown in the video.
-
-
-
 Output Only the Script, and also make it funny and humarous and helirous and also add to subscribe with a funny statement like subscribe now or .....
-
-
 No extra text, just the script.
-
-
-
 Example Output:
 [North Korea]
-
 Top 5 unknown facts about North Korea.
-
 [Invisibility]
-
 North Korea’s internet speed is so fast… it doesn’t exist.
-
 [Leadership]
-
 Kim Jong-un once won an election with 100% votes… against himself.
-
 [Magic]
-
 North Korea discovered time travel. That’s why their news is always from the past.
-
 [Warning]
-
 Subscribe now, or Kim Jong-un will send you a free one-way ticket… to North Korea.
-
 [Freedom]
-
 North Korean citizens can do anything… as long as it's government-approved.
 Now here is the Topic/scrip: {user_input}
 """
-
     data = {
         'model': OPENROUTER_MODEL,
         'messages': [{'role': 'user', 'content': prompt}],
         'temperature': 0.4,
         'max_tokens': 5000
     }
-
     try:
         response = requests.post(
             'https://openrouter.ai/api/v1/chat/completions',
@@ -159,708 +91,313 @@ Now here is the Topic/scrip: {user_input}
             json=data,
             timeout=30
         )
-
         if response.status_code == 200:
-            response_data = response.json()
-            if 'choices' in response_data and len(response_data['choices']) > 0:
-                return response_data['choices'][0]['message']['content']
-            else:
-                print("Unexpected response format:", response_data)
-                return None
+            return response.json()['choices'][0]['message']['content']
         else:
             print(f"API Error {response.status_code}: {response.text}")
             return None
-
     except Exception as e:
         print(f"Request failed: {str(e)}")
         return None
 
 def parse_script(script_text):
-    """
-    Parse the generated script into a list of elements.
-    For each section, create two elements:
-      - A 'media' element using the section title as the visual prompt.
-      - A 'tts' element with the narration text, voice info, and computed duration.
-    """
     sections = {}
     current_title = None
     current_text = ""
-
-    try:
-        for line in script_text.splitlines():
-            line = line.strip()
-            if line.startswith("[") and "]" in line:
-                bracket_start = line.find("[")
-                bracket_end = line.find("]", bracket_start)
-                if bracket_start != -1 and bracket_end != -1:
-                    if current_title is not None:
-                        sections[current_title] = current_text.strip()
-                    current_title = line[bracket_start+1:bracket_end]
-                    current_text = line[bracket_end+1:].strip()
-            elif current_title:
-                current_text += line + " "
-
-        if current_title:
-            sections[current_title] = current_text.strip()
-
-        elements = []
-        for title, narration in sections.items():
-            if not title or not narration:
-                continue
-
-            media_element = {"type": "media", "prompt": title, "effects": "fade-in"}
-            words = narration.split()
-            duration = max(3, len(words) * 0.5)
-            tts_element = {"type": "tts", "text": narration, "voice": "en", "duration": duration}
-            elements.append(media_element)
-            elements.append(tts_element)
-
-        return elements
-    except Exception as e:
-        print(f"Error parsing script: {e}")
-        return []
+    for line in script_text.splitlines():
+        line = line.strip()
+        if line.startswith("[") and "]" in line:
+            bracket_start = line.find("[")
+            bracket_end = line.find("]", bracket_start)
+            if bracket_start != -1 and bracket_end != -1:
+                if current_title is not None:
+                    sections[current_title] = current_text.strip()
+                current_title = line[bracket_start+1:bracket_end]
+                current_text = line[bracket_end+1:].strip()
+        elif current_title:
+            current_text += line + " "
+    if current_title:
+        sections[current_title] = current_text.strip()
+    clips = [{"title": title, "narration": narration} for title, narration in sections.items()]
+    return clips
 
 def search_pexels_videos(query, pexels_api_key):
-    """Search for a video on Pexels by query and return a random HD video."""
     headers = {'Authorization': pexels_api_key}
-    base_url = "https://api.pexels.com/videos/search"
-    num_pages = 3
-    videos_per_page = 15
-
-    max_retries = 3
-    retry_delay = 1
-
-    search_query = query
-    all_videos = []
-
-    for page in range(1, num_pages + 1):
-        for attempt in range(max_retries):
-            try:
-                params = {"query": search_query, "per_page": videos_per_page, "page": page}
-                response = requests.get(base_url, headers=headers, params=params, timeout=10)
-
-                if response.status_code == 200:
-                    data = response.json()
-                    videos = data.get("videos", [])
-
-                    if not videos:
-                        print(f"No videos found on page {page}.")
-                        break
-
-                    for video in videos:
-                        video_files = video.get("video_files", [])
-                        for file in video_files:
-                            if file.get("quality") == "hd":
-                                all_videos.append(file.get("link"))
-                                break
-
-                    break
-
-                elif response.status_code == 429:
-                    print(f"Rate limit hit (attempt {attempt+1}/{max_retries}). Retrying in {retry_delay} seconds...")
-                    time.sleep(retry_delay)
-                    retry_delay *= 2
-                else:
-                    print(f"Error fetching videos: {response.status_code} {response.text}")
-                    if attempt < max_retries - 1:
-                        print(f"Retrying in {retry_delay} seconds...")
-                        time.sleep(retry_delay)
-                        retry_delay *= 2
-                    else:
-                        break
-
-            except requests.exceptions.RequestException as e:
-                print(f"Request exception: {e}")
-                if attempt < max_retries - 1:
-                    print(f"Retrying in {retry_delay} seconds...")
-                    time.sleep(retry_delay)
-                    retry_delay *= 2
-                else:
-                    break
-
-    if all_videos:
-        random_video = random.choice(all_videos)
-        print(f"Selected random video from {len(all_videos)} HD videos")
-        return random_video
-    else:
-        print("No suitable videos found after searching all pages.")
-        return None
+    url = "https://api.pexels.com/videos/search"
+    params = {"query": query, "per_page": 15}
+    try:
+        response = requests.get(url, headers=headers, params=params, timeout=10)
+        if response.status_code == 200:
+            videos = response.json().get("videos", [])
+            hd_videos = [v["video_files"][0]["link"] for v in videos if v["video_files"] and v["video_files"][0]["quality"] == "hd"]
+            return random.choice(hd_videos) if hd_videos else None
+    except Exception as e:
+        print(f"Video search error: {e}")
+    return None
 
 def search_pexels_images(query, pexels_api_key):
-    """Search for an image on Pexels by query."""
     headers = {'Authorization': pexels_api_key}
     url = "https://api.pexels.com/v1/search"
     params = {"query": query, "per_page": 5, "orientation": "landscape"}
-
-    max_retries = 3
-    retry_delay = 1
-
-    for attempt in range(max_retries):
-        try:
-            response = requests.get(url, headers=headers, params=params, timeout=10)
-
-            if response.status_code == 200:
-                data = response.json()
-                photos = data.get("photos", [])
-                if photos:
-                    photo = random.choice(photos[:min(5, len(photos))])
-                    img_url = photo.get("src", {}).get("original")
-                    return img_url
-                else:
-                    print(f"No images found for query: {query}")
-                    return None
-
-            elif response.status_code == 429:
-                print(f"Rate limit hit (attempt {attempt+1}/{max_retries}). Retrying in {retry_delay} seconds...")
-                time.sleep(retry_delay)
-                retry_delay *= 2
-            else:
-                print(f"Error fetching images: {response.status_code} {response.text}")
-                if attempt < max_retries - 1:
-                    print(f"Retrying in {retry_delay} seconds...")
-                    time.sleep(retry_delay)
-                    retry_delay *= 2
-
-        except requests.exceptions.RequestException as e:
-            print(f"Request exception: {e}")
-            if attempt < max_retries - 1:
-                print(f"Retrying in {retry_delay} seconds...")
-                time.sleep(retry_delay)
-                retry_delay *= 2
-
-    print(f"No Pexels images found for query: {query} after all attempts")
+    try:
+        response = requests.get(url, headers=headers, params=params, timeout=10)
+        if response.status_code == 200:
+            photos = response.json().get("photos", [])
+            return random.choice(photos)["src"]["original"] if photos else None
+    except Exception as e:
+        print(f"Image search error: {e}")
     return None
 
 def search_google_images(query):
-    """Search for images on Google Images (for news-related queries)"""
+    search_url = f"https://www.google.com/search?q={quote(query)}&tbm=isch"
+    headers = {"User-Agent": USER_AGENT}
     try:
-        search_url = f"https://www.google.com/search?q={quote(query)}&tbm=isch"
-        headers = {"User-Agent": USER_AGENT}
         response = requests.get(search_url, headers=headers, timeout=10)
         soup = BeautifulSoup(response.text, "html.parser")
-
-        img_tags = soup.find_all("img")
-        image_urls = []
-        for img in img_tags:
-            src = img.get("src", "")
-            if src.startswith("http") and "gstatic" not in src:
-                image_urls.append(src)
-
-        if image_urls:
-            return random.choice(image_urls[:5]) if len(image_urls) >= 5 else image_urls[0]
-        else:
-            print(f"No Google Images found for query: {query}")
-            return None
+        img_urls = [img["src"] for img in soup.find_all("img") if img.get("src", "").startswith("http") and "gstatic" not in img["src"]]
+        return random.choice(img_urls[:5]) if img_urls else None
     except Exception as e:
-        print(f"Error in Google Images search: {e}")
+        print(f"Google Images error: {e}")
         return None
 
 def download_image(image_url, filename):
-    """Download an image from a URL to a local file with enhanced error handling."""
     try:
-        headers = {"User-Agent": USER_AGENT}
-        print(f"Downloading image from: {image_url} to {filename}")
-        response = requests.get(image_url, headers=headers, stream=True, timeout=15)
+        response = requests.get(image_url, headers={"User-Agent": USER_AGENT}, stream=True, timeout=15)
         response.raise_for_status()
-
         with open(filename, 'wb') as f:
             for chunk in response.iter_content(chunk_size=8192):
                 f.write(chunk)
-
-        print(f"Image downloaded successfully to: {filename}")
-
-        try:
-            img = Image.open(filename)
-            img.verify()
-            img = Image.open(filename)
-            if img.mode != 'RGB':
-                img = img.convert('RGB')
-                img.save(filename)
-            print(f"Image validated and processed: {filename}")
-            return filename
-        except Exception as e_validate:
-            print(f"Downloaded file is not a valid image: {e_validate}")
-            if os.path.exists(filename):
-                os.remove(filename)
-            return None
-
-    except requests.exceptions.RequestException as e_download:
-        print(f"Image download error: {e_download}")
-        if os.path.exists(filename):
-            os.remove(filename)
-        return None
-    except Exception as e_general:
-        print(f"General error during image processing: {e_general}")
-        if os.path.exists(filename):
-            os.remove(filename)
+        img = Image.open(filename)
+        if img.mode != 'RGB':
+            img = img.convert('RGB')
+            img.save(filename)
+        return filename
+    except Exception as e:
+        print(f"Image download error: {e}")
         return None
 
 def download_video(video_url, filename):
-    """Download a video from a URL to a local file."""
     try:
         response = requests.get(video_url, stream=True, timeout=30)
         response.raise_for_status()
         with open(filename, 'wb') as f:
             for chunk in response.iter_content(chunk_size=8192):
                 f.write(chunk)
-        print(f"Video downloaded successfully to: {filename}")
         return filename
     except Exception as e:
         print(f"Video download error: {e}")
-        if os.path.exists(filename):
-            os.remove(filename)
         return None
 
-def generate_media(prompt, user_image=None, current_index=0, total_segments=1):
-    """
-    Generate a visual asset by first searching for a video or using a specific search strategy.
-    For news-related queries, use Google Images.
-    Returns a dict: {'path': <file_path>, 'asset_type': 'video' or 'image'}.
-    """
+def generate_media(prompt, custom_media=None, video_prob=0.25):
+    if custom_media:
+        asset_type = "video" if custom_media.endswith(('.mp4', '.avi', '.mov')) else "image"
+        return {"path": custom_media, "asset_type": asset_type}
     safe_prompt = re.sub(r'[^\w\s-]', '', prompt).strip().replace(' ', '_')
-
     if "news" in prompt.lower():
-        print(f"News-related query detected: {prompt}. Using Google Images...")
         image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_news.jpg")
         image_url = search_google_images(prompt)
-        if image_url:
-            downloaded_image = download_image(image_url, image_file)
-            if downloaded_image:
-                print(f"News image saved to {downloaded_image}")
-                return {"path": downloaded_image, "asset_type": "image"}
-        else:
-            print(f"Google Images search failed for prompt: {prompt}")
-
-    if random.random() < 0.25:
+        if image_url and download_image(image_url, image_file):
+            return {"path": image_file, "asset_type": "image"}
+    if random.random() < video_prob:
         video_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_video.mp4")
         video_url = search_pexels_videos(prompt, PEXELS_API_KEY)
-        if video_url:
-            downloaded_video = download_video(video_url, video_file)
-            if downloaded_video:
-                print(f"Video asset saved to {downloaded_video}")
-                return {"path": downloaded_video, "asset_type": "video"}
-        else:
-            print(f"Pexels video search failed for prompt: {prompt}")
-
+        if video_url and download_video(video_url, video_file):
+            return {"path": video_file, "asset_type": "video"}
     image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}.jpg")
     image_url = search_pexels_images(prompt, PEXELS_API_KEY)
-    if image_url:
-        downloaded_image = download_image(image_url, image_file)
-        if downloaded_image:
-            print(f"Image asset saved to {downloaded_image}")
-            return {"path": downloaded_image, "asset_type": "image"}
-        else:
-            print(f"Pexels image download failed for prompt: {prompt}")
-
-    fallback_terms = ["nature", "people", "landscape", "technology", "business"]
-    for term in fallback_terms:
-        print(f"Trying fallback image search with term: {term}")
-        fallback_file = os.path.join(TEMP_FOLDER, f"fallback_{term}.jpg")
-        fallback_url = search_pexels_images(term, PEXELS_API_KEY)
-        if fallback_url:
-            downloaded_fallback = download_image(fallback_url, fallback_file)
-            if downloaded_fallback:
-                print(f"Fallback image saved to {downloaded_fallback}")
-                return {"path": downloaded_fallback, "asset_type": "image"}
-            else:
-                print(f"Fallback image download failed for term: {term}")
-        else:
-            print(f"Fallback image search failed for term: {term}")
-
-    print(f"Failed to generate visual asset for prompt: {prompt}")
+    if image_url and download_image(image_url, image_file):
+        return {"path": image_file, "asset_type": "image"}
     return None
 
-def generate_silent_audio(duration, sample_rate=24000):
-    """Generate a silent WAV audio file lasting 'duration' seconds."""
-    num_samples = int(duration * sample_rate)
-    silence = np.zeros(num_samples, dtype=np.float32)
-    silent_path = os.path.join(TEMP_FOLDER, f"silent_{int(time.time())}.wav")
-    sf.write(silent_path, silence, sample_rate)
-    print(f"Silent audio generated: {silent_path}")
-    return silent_path
-
 def generate_tts(text, voice):
-    """
-    Generate TTS audio using Kokoro, falling back to gTTS or silent audio if needed.
-    """
     safe_text = re.sub(r'[^\w\s-]', '', text[:10]).strip().replace(' ', '_')
     file_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.wav")
-
     if os.path.exists(file_path):
-        print(f"Using cached TTS for text '{text[:10]}...'")
         return file_path
-
     try:
-        kokoro_voice = 'af_heart' if voice == 'en' else voice
-        generator = pipeline(text, voice=kokoro_voice, speed=0.9, split_pattern=r'\n+')
-        audio_segments = []
-        for i, (gs, ps, audio) in enumerate(generator):
-            audio_segments.append(audio)
+        audio_segments = [audio for _, _, audio in pipeline(text, voice='af_heart', speed=0.9, split_pattern=r'\n+')]
         full_audio = np.concatenate(audio_segments) if len(audio_segments) > 1 else audio_segments[0]
         sf.write(file_path, full_audio, 24000)
-        print(f"TTS audio saved to {file_path} (Kokoro)")
         return file_path
-    except Exception as e:
-        print(f"Error with Kokoro TTS: {e}")
-        try:
-            print("Falling back to gTTS...")
-            tts = gTTS(text=text, lang='en')
-            mp3_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.mp3")
-            tts.save(mp3_path)
-            audio = AudioSegment.from_mp3(mp3_path)
-            audio.export(file_path, format="wav")
-            os.remove(mp3_path)
-            print(f"Fallback TTS saved to {file_path} (gTTS)")
-            return file_path
-        except Exception as fallback_error:
-            print(f"Both TTS methods failed: {fallback_error}")
-            return generate_silent_audio(duration=max(3, len(text.split()) * 0.5))
+    except Exception:
+        tts = gTTS(text=text, lang='en')
+        mp3_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.mp3")
+        tts.save(mp3_path)
+        AudioSegment.from_mp3(mp3_path).export(file_path, format="wav")
+        os.remove(mp3_path)
+        return file_path
 
-def apply_kenburns_effect(clip, target_resolution, effect_type=None):
-    """Apply a smooth Ken Burns effect with a single movement pattern."""
+def apply_kenburns_effect(clip, target_resolution):
     target_w, target_h = target_resolution
     clip_aspect = clip.w / clip.h
     target_aspect = target_w / target_h
-
     if clip_aspect > target_aspect:
-        new_height = target_h
-        new_width = int(new_height * clip_aspect)
+        new_width = int(target_h * clip_aspect)
+        clip = clip.resize(width=new_width)
     else:
-        new_width = target_w
-        new_height = int(new_width / clip_aspect)
-
-    clip = clip.resize(newsize=(new_width, new_height))
-    base_scale = 1.15
-    new_width = int(new_width * base_scale)
-    new_height = int(new_height * base_scale)
-    clip = clip.resize(newsize=(new_width, new_height))
-
-    max_offset_x = new_width - target_w
-    max_offset_y = new_height - target_h
-
-    available_effects = ["zoom-in", "zoom-out", "pan-left", "pan-right", "up-left"]
-    if effect_type is None or effect_type == "random":
-        effect_type = random.choice(available_effects)
-
-    if effect_type == "zoom-in":
-        start_zoom = 0.9
-        end_zoom = 1.1
-        start_center = (new_width / 2, new_height / 2)
-        end_center = start_center
-    elif effect_type == "zoom-out":
-        start_zoom = 1.1
-        end_zoom = 0.9
-        start_center = (new_width / 2, new_height / 2)
-        end_center = start_center
-    elif effect_type == "pan-left":
-        start_zoom = 1.0
-        end_zoom = 1.0
-        start_center = (max_offset_x + target_w / 2, (max_offset_y // 2) + target_h / 2)
-        end_center = (target_w / 2, (max_offset_y // 2) + target_h / 2)
-    elif effect_type == "pan-right":
-        start_zoom = 1.0
-        end_zoom = 1.0
-        start_center = (target_w / 2, (max_offset_y // 2) + target_h / 2)
-        end_center = (max_offset_x + target_w / 2, (max_offset_y // 2) + target_h / 2)
-    elif effect_type == "up-left":
-        start_zoom = 1.0
-        end_zoom = 1.0
-        start_center = (max_offset_x + target_w / 2, max_offset_y + target_h / 2)
-        end_center = (target_w / 2, target_h / 2)
-    else:
-        raise ValueError(f"Unsupported effect_type: {effect_type}")
-
-    def transform_frame(get_frame, t):
-        frame = get_frame(t)
-        ratio = t / clip.duration if clip.duration > 0 else 0
-        ratio = 0.5 - 0.5 * math.cos(math.pi * ratio)
-        current_zoom = start_zoom + (end_zoom - start_zoom) * ratio
-        crop_w = int(target_w / current_zoom)
-        crop_h = int(target_h / current_zoom)
-        current_center_x = start_center[0] + (end_center[0] - start_center[0]) * ratio
-        current_center_y = start_center[1] + (end_center[1] - start_center[1]) * ratio
-        min_center_x = crop_w / 2
-        max_center_x = new_width - crop_w / 2
-        min_center_y = crop_h / 2
-        max_center_y = new_height - crop_h / 2
-        current_center_x = max(min_center_x, min(current_center_x, max_center_x))
-        current_center_y = max(min_center_y, min(current_center_y, max_center_y))
-        cropped_frame = cv2.getRectSubPix(frame, (crop_w, crop_h), (current_center_x, current_center_y))
-        resized_frame = cv2.resize(cropped_frame, (target_w, target_h), interpolation=cv2.INTER_LANCZOS4)
-        return resized_frame
-
-    return clip.fl(transform_frame)
+        new_height = int(target_w / clip_aspect)
+        clip = clip.resize(height=new_height)
+    clip = clip.resize(zoom=1.15)
+    return vfx.crop(clip.fx(vfx.resize, width=target_w * 1.1), width=target_w, height=target_h, x_center=clip.w / 2, y_center=clip.h / 2)
 
 def resize_to_fill(clip, target_resolution):
-    """Resize and crop a clip to fill the target resolution while maintaining aspect ratio."""
     target_w, target_h = target_resolution
     clip_aspect = clip.w / clip.h
     target_aspect = target_w / target_h
-
     if clip_aspect > target_aspect:
         clip = clip.resize(height=target_h)
         crop_amount = (clip.w - target_w) / 2
-        clip = clip.crop(x1=crop_amount, x2=clip.w - crop_amount, y1=0, y2=clip.h)
+        clip = clip.crop(x1=crop_amount, x2=clip.w - crop_amount)
     else:
         clip = clip.resize(width=target_w)
         crop_amount = (clip.h - target_h) / 2
-        clip = clip.crop(x1=0, x2=clip.w, y1=crop_amount, y2=clip.h - crop_amount)
-
+        clip = clip.crop(y1=crop_amount, y2=clip.h - crop_amount)
     return clip
 
-def find_mp3_files():
-    """Search for any MP3 files in the current directory and subdirectories."""
-    mp3_files = []
-    for root, dirs, files in os.walk('.'):
-        for file in files:
-            if file.endswith('.mp3'):
-                mp3_path = os.path.join(root, file)
-                mp3_files.append(mp3_path)
-                print(f"Found MP3 file: {mp3_path}")
-    return mp3_files[0] if mp3_files else None
-
-def add_background_music(final_video, bg_music_volume=0.08):
-    """Add background music to the final video using any MP3 file found."""
-    try:
-        bg_music_path = find_mp3_files()
-        if bg_music_path and os.path.exists(bg_music_path):
-            print(f"Adding background music from: {bg_music_path}")
-            bg_music = AudioFileClip(bg_music_path)
-            if bg_music.duration < final_video.duration:
-                loops_needed = math.ceil(final_video.duration / bg_music.duration)
-                bg_segments = [bg_music] * loops_needed
-                bg_music = concatenate_audioclips(bg_segments)
-            bg_music = bg_music.subclip(0, final_video.duration)
-            bg_music = bg_music.volumex(bg_music_volume)
-            video_audio = final_video.audio
-            mixed_audio = CompositeAudioClip([video_audio, bg_music])
-            final_video = final_video.set_audio(mixed_audio)
-            print("Background music added successfully")
-        else:
-            print("No MP3 files found, skipping background music")
-        return final_video
-    except Exception as e:
-        print(f"Error adding background music: {e}")
-        print("Continuing without background music")
-        return final_video
-
-def create_clip(media_path, asset_type, tts_path, duration=None, effects=None, narration_text=None, segment_index=0):
-    """Create a video clip with synchronized subtitles and narration."""
-    try:
-        print(f"Creating clip #{segment_index} with asset_type: {asset_type}, media_path: {media_path}")
-        if not os.path.exists(media_path) or not os.path.exists(tts_path):
-            print("Missing media or TTS file")
-            return None
-
-        audio_clip = AudioFileClip(tts_path).audio_fadeout(0.2)
-        audio_duration = audio_clip.duration
-        target_duration = audio_duration + 0.2
-
-        if asset_type == "video":
-            clip = VideoFileClip(media_path)
-            clip = resize_to_fill(clip, TARGET_RESOLUTION)
-            if clip.duration < target_duration:
-                clip = clip.loop(duration=target_duration)
-            else:
-                clip = clip.subclip(0, target_duration)
-        elif asset_type == "image":
-            img = Image.open(media_path)
-            if img.mode != 'RGB':
-                with tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) as temp:
-                    img.convert('RGB').save(temp.name)
-                    media_path = temp.name
-                img.close()
-            clip = ImageClip(media_path).set_duration(target_duration)
-            clip = apply_kenburns_effect(clip, TARGET_RESOLUTION)
-            clip = clip.fadein(0.3).fadeout(0.3)
-        else:
-            return None
-
-        if narration_text and CAPTION_COLOR != "transparent":
-            try:
-                words = narration_text.split()
-                chunks = []
-                current_chunk = []
-                for word in words:
-                    current_chunk.append(word)
-                    if len(current_chunk) >= 5:
-                        chunks.append(' '.join(current_chunk))
-                        current_chunk = []
-                if current_chunk:
-                    chunks.append(' '.join(current_chunk))
-
-                chunk_duration = audio_duration / len(chunks)
-                subtitle_clips = []
-                subtitle_y_position = int(TARGET_RESOLUTION[1] * 0.70)
-
-                for i, chunk_text in enumerate(chunks):
-                    start_time = i * chunk_duration
-                    end_time = (i + 1) * chunk_duration
-                    txt_clip = TextClip(
-                        chunk_text,
-                        fontsize=45,
-                        font='Arial-Bold',
-                        color=CAPTION_COLOR,
-                        bg_color='rgba(0, 0, 0, 0.25)',
-                        method='caption',
-                        align='center',
-                        stroke_width=2,
-                        stroke_color=CAPTION_COLOR,
-                        size=(TARGET_RESOLUTION[0] * 0.8, None)
-                    ).set_start(start_time).set_end(end_time)
-                    txt_clip = txt_clip.set_position(('center', subtitle_y_position))
-                    subtitle_clips.append(txt_clip)
-
-                clip = CompositeVideoClip([clip] + subtitle_clips)
-            except Exception as sub_error:
-                print(f"Subtitle error: {sub_error}")
-                txt_clip = TextClip(
-                    narration_text,
-                    fontsize=28,
-                    color=CAPTION_COLOR,
-                    align='center',
-                    size=(TARGET_RESOLUTION[0] * 0.7, None)
-                ).set_position(('center', int(TARGET_RESOLUTION[1] / 3))).set_duration(clip.duration)
-                clip = CompositeVideoClip([clip, txt_clip])
-
-        clip = clip.set_audio(audio_clip)
-        print(f"Clip created: {clip.duration:.1f}s")
-        return clip
-    except Exception as e:
-        print(f"Error in create_clip: {str(e)}")
-        return None
-
-def fix_imagemagick_policy():
-    """Fix ImageMagick security policies."""
-    try:
-        print("Attempting to fix ImageMagick security policies...")
-        policy_paths = [
-            "/etc/ImageMagick-6/policy.xml",
-            "/etc/ImageMagick-7/policy.xml",
-            "/etc/ImageMagick/policy.xml",
-            "/usr/local/etc/ImageMagick-7/policy.xml"
-        ]
-        found_policy = next((path for path in policy_paths if os.path.exists(path)), None)
-        if not found_policy:
-            print("No policy.xml found. Using alternative subtitle method.")
-            return False
-        print(f"Modifying policy file at {found_policy}")
-        os.system(f"sudo cp {found_policy} {found_policy}.bak")
-        os.system(f"sudo sed -i 's/rights=\"none\"/rights=\"read|write\"/g' {found_policy}")
-        os.system(f"sudo sed -i 's/<policy domain=\"path\" pattern=\"@\*\"[^>]*>/<policy domain=\"path\" pattern=\"@*\" rights=\"read|write\"/g' {found_policy}")
-        os.system(f"sudo sed -i 's/<policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"[^>]*>/<!-- <policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"> -->/g' {found_policy}")
-        print("ImageMagick policies updated successfully.")
-        return True
-    except Exception as e:
-        print(f"Error fixing policies: {e}")
-        return False
-
-# ---------------- Main Function with Gradio Integration ---------------- #
-def generate_video(user_input, resolution, caption_option):
-    """Generate a video based on user input via Gradio."""
-    global TARGET_RESOLUTION, CAPTION_COLOR, TEMP_FOLDER
-    import shutil
-
-    # Set resolution
-    if resolution == "Full":
-        TARGET_RESOLUTION = (1920, 1080)
-    elif resolution == "Short":
-        TARGET_RESOLUTION = (1080, 1920)
+def add_background_music(final_video, bgm_path=None, bgm_volume=0.15):
+    if bgm_path and os.path.exists(bgm_path):
+        bg_music = AudioFileClip(bgm_path)
+        if bg_music.duration < final_video.duration:
+            loops_needed = math.ceil(final_video.duration / bg_music.duration)
+            bg_music = concatenate_audioclips([bg_music] * loops_needed)
+        bg_music = bg_music.subclip(0, final_video.duration).volumex(bgm_volume)
+        mixed_audio = CompositeAudioClip([final_video.audio, bg_music])
+        return final_video.set_audio(mixed_audio)
+    return final_video
+
+def create_clip(media_path, asset_type, tts_path, narration_text, target_resolution, subtitles_enabled, font, font_size, outline_width, font_color, outline_color, position, zoom_pan_effect):
+    audio_clip = AudioFileClip(tts_path).audio_fadeout(0.2)
+    target_duration = audio_clip.duration + 0.2
+    if asset_type == "video":
+        clip = VideoFileClip(media_path)
+        clip = resize_to_fill(clip, target_resolution)
+        clip = clip.loop(duration=target_duration) if clip.duration < target_duration else clip.subclip(0, target_duration)
     else:
-        TARGET_RESOLUTION = (1920, 1080)  # Default
-
-    # Set caption color
-    CAPTION_COLOR = "white" if caption_option == "Yes" else "transparent"
-
-    # Create a unique temporary folder
-    TEMP_FOLDER = tempfile.mkdtemp()
-
-    # Fix ImageMagick policy
-    fix_success = fix_imagemagick_policy()
-    if not fix_success:
-        print("Will use alternative methods if needed")
-
-    print("Generating script from API...")
-    script = generate_script(user_input)
-    if not script:
-        print("Failed to generate script.")
-        shutil.rmtree(TEMP_FOLDER)
-        return None
-    print("Generated Script:\n", script)
-    elements = parse_script(script)
-    if not elements:
-        print("Failed to parse script into elements.")
-        shutil.rmtree(TEMP_FOLDER)
-        return None
-    print(f"Parsed {len(elements)//2} script segments.")
-
-    paired_elements = []
-    for i in range(0, len(elements), 2):
-        if i + 1 < len(elements):
-            paired_elements.append((elements[i], elements[i + 1]))
-
-    if not paired_elements:
-        print("No valid script segments found.")
-        shutil.rmtree(TEMP_FOLDER)
-        return None
-
+        clip = ImageClip(media_path).set_duration(target_duration).fadein(0.3).fadeout(0.3)
+        if zoom_pan_effect:
+            clip = apply_kenburns_effect(clip, target_resolution)
+        clip = resize_to_fill(clip, target_resolution)
+    if subtitles_enabled and narration_text:
+        words = narration_text.split()
+        chunks = [' '.join(words[i:i+5]) for i in range(0, len(words), 5)]
+        chunk_duration = audio_clip.duration / len(chunks)
+        subtitle_clips = []
+        y_position = target_resolution[1] * (0.1 if position == "top" else 0.8 if position == "bottom" else 0.5)
+        for i, chunk in enumerate(chunks):
+            txt_clip = TextClip(
+                chunk,
+                fontsize=font_size,
+                font=font,
+                color=font_color,
+                stroke_color=outline_color,
+                stroke_width=outline_width,
+                method='caption',
+                align='center',
+                size=(target_resolution[0] * 0.8, None)
+            ).set_start(i * chunk_duration).set_end((i + 1) * chunk_duration).set_position(('center', y_position))
+            subtitle_clips.append(txt_clip)
+        clip = CompositeVideoClip([clip] + subtitle_clips)
+    return clip.set_audio(audio_clip)
+
+# Main Video Generation Function
+def generate_video(resolution, render_speed, video_clip_percent, zoom_pan_effect, bgm_upload, bgm_volume, subtitles_enabled, font, font_size, outline_width, font_color, outline_color, position, *clip_data):
+    target_resolution = (1080, 1920) if resolution == "Short (1080x1920)" else (1920, 1080)
     clips = []
-    for idx, (media_elem, tts_elem) in enumerate(paired_elements):
-        print(f"\nProcessing segment {idx+1}/{len(paired_elements)} with prompt: '{media_elem['prompt']}'")
-        media_asset = generate_media(media_elem['prompt'], current_index=idx, total_segments=len(paired_elements))
-        if not media_asset:
-            print(f"Skipping segment {idx+1} due to missing media asset.")
-            continue
-        tts_path = generate_tts(tts_elem['text'], tts_elem['voice'])
-        if not tts_path:
-            print(f"Skipping segment {idx+1} due to TTS generation failure.")
-            continue
-        clip = create_clip(
-            media_path=media_asset['path'],
-            asset_type=media_asset['asset_type'],
-            tts_path=tts_path,
-            duration=tts_elem['duration'],
-            effects=media_elem.get('effects', 'fade-in'),
-            narration_text=tts_elem['text'],
-            segment_index=idx
-        )
-        if clip:
+    for i in range(0, len(clip_data), 3):
+        prompt, narration, custom_media = clip_data[i], clip_data[i+1], clip_data[i+2]
+        if prompt.strip() or narration.strip():
+            media_asset = generate_media(prompt, custom_media, video_clip_percent / 100.0)
+            if not media_asset:
+                continue
+            tts_path = generate_tts(narration, 'en')
+            clip = create_clip(
+                media_asset['path'], media_asset['asset_type'], tts_path, narration, target_resolution,
+                subtitles_enabled, font, font_size, outline_width, font_color, outline_color, position, zoom_pan_effect
+            )
             clips.append(clip)
-        else:
-            print(f"Clip creation failed for segment {idx+1}.")
-
     if not clips:
-        print("No clips were successfully created.")
-        shutil.rmtree(TEMP_FOLDER)
         return None
-
-    print("\nConcatenating clips...")
     final_video = concatenate_videoclips(clips, method="compose")
-    final_video = add_background_music(final_video, bg_music_volume=0.08)
-
-    print(f"Exporting final video to {OUTPUT_VIDEO_FILENAME}...")
-    final_video.write_videofile(OUTPUT_VIDEO_FILENAME, codec='libx264', fps=24, preset='veryfast')
-    print(f"Final video saved as {OUTPUT_VIDEO_FILENAME}")
-
-    # Clean up
-    print("Cleaning up temporary files...")
+    final_video = add_background_music(final_video, bgm_upload, bgm_volume)
+    final_video.write_videofile(OUTPUT_VIDEO_FILENAME, codec='libx264', fps=24, preset=render_speed)
     shutil.rmtree(TEMP_FOLDER)
-    print("Temporary files removed.")
-
     return OUTPUT_VIDEO_FILENAME
 
-# ---------------- Gradio Interface ---------------- #
-iface = gr.Interface(
-    fn=generate_video,
-    inputs=[
-        gr.Textbox(label="Video Concept", placeholder="Enter your video concept here..."),
-        gr.Radio(["Full", "Short"], label="Resolution", value="Full"),
-        gr.Radio(["Yes", "No"], label="Captions", value="Yes")
-    ],
-    outputs=gr.Video(label="Generated Video"),
-    title="AI Documentary Video Generator",
-    description="Create a funny documentary-style video based on your concept. Note: Generation may take several minutes on CPU."
-)
-
-# Launch the interface
-iface.launch(share=True)
+# Load Clips Function
+def load_clips(topic, script):
+    raw_script = script.strip() if script.strip() else generate_script(topic)
+    clips = parse_script(raw_script)[:MAX_CLIPS]
+    updates = [gr.update(value=raw_script)]
+    for i in range(MAX_CLIPS):
+        if i < len(clips):
+            updates.extend([
+                gr.update(value=clips[i]["title"]),
+                gr.update(value=clips[i]["narration"]),
+                gr.update(value=None),
+                gr.update(visible=True)
+            ])
+        else:
+            updates.extend([gr.update(value=""), gr.update(value=""), gr.update(value=None), gr.update(visible=False)])
+    return updates
+
+# Gradio Interface
+with gr.Blocks(title="🚀 Orbit Video Engine") as app:
+    with gr.Row():
+        # Column 1: Content Input & Script Generation
+        with gr.Column():
+            gr.Markdown("### 1. Content Input")
+            topic_input = gr.Textbox(label="Video Topic", placeholder="e.g., Funny Cat Facts")
+            script_input = gr.Textbox(label="Or Paste Full Script", lines=10, placeholder="[Title]\nNarration...")
+            generate_script_btn = gr.Button("📝 Generate Script & Load Clips")
+            generated_script_display = gr.Textbox(label="Generated Script", interactive=False)
+
+        # Column 2: Clip Editor
+        with gr.Column():
+            gr.Markdown("### 2. Edit Clips")
+            gr.Markdown("Modify prompts, narration, and upload custom media for each clip.")
+            clip_rows, prompts, narrations, custom_medias = [], [], [], []
+            for i in range(MAX_CLIPS):
+                with gr.Row(visible=False) as row:
+                    prompt = gr.Textbox(label="Visual Prompt")
+                    narration = gr.Textbox(label="Narration", lines=3)
+                    custom_media = gr.File(label="Upload Custom Media (Image/Video)", file_types=["image", "video"])
+                clip_rows.append(row)
+                prompts.append(prompt)
+                narrations.append(narration)
+                custom_medias.append(custom_media)
+
+        # Column 3: Settings & Output
+        with gr.Column():
+            gr.Markdown("### 3. Video Settings")
+            resolution = gr.Radio(["Short (1080x1920)", "Full HD (1920x1080)"], label="Resolution", value="Full HD (1920x1080)")
+            render_speed = gr.Dropdown(["ultrafast", "veryfast", "fast", "medium", "slow", "veryslow"], label="Render Speed", value="fast")
+            video_clip_percent = gr.Slider(0, 100, value=25, label="Video Clip Percentage")
+            zoom_pan_effect = gr.Checkbox(label="Add Zoom/Pan Effect (Images)", value=True)
+            with gr.Accordion("Background Music", open=False):
+                bgm_upload = gr.Audio(label="Upload Background Music", type="filepath")
+                bgm_volume = gr.Slider(0.0, 1.0, value=0.15, label="BGM Volume")
+            with gr.Accordion("Subtitle Settings", open=True):
+                subtitles_enabled = gr.Checkbox(label="Enable Subtitles", value=True)
+                font = gr.Dropdown(["Impact", "Arial", "Times New Roman"], label="Font", value="Arial")
+                font_size = gr.Number(label="Font Size", value=45)
+                outline_width = gr.Number(label="Outline Width", value=2)
+                font_color = gr.ColorPicker(label="Font Color", value="#FFFFFF")
+                outline_color = gr.ColorPicker(label="Outline Color", value="#000000")
+                position = gr.Radio(["top", "center", "bottom"], label="Position", value="bottom")
+            generate_video_btn = gr.Button("🎬 Generate Video")
+            gr.Markdown("### 4. Output")
+            video_output = gr.Video(label="Generated Video")
+
+    # Event Handlers
+    generate_script_btn.click(
+        load_clips,
+        inputs=[topic_input, script_input],
+        outputs=[generated_script_display] + prompts + narrations + custom_medias + clip_rows
+    )
+    generate_video_btn.click(
+        generate_video,
+        inputs=[resolution, render_speed, video_clip_percent, zoom_pan_effect, bgm_upload, bgm_volume, subtitles_enabled, font, font_size, outline_width, font_color, outline_color, position] + prompts + narrations + custom_medias,
+        outputs=video_output
+    )
+
+app.launch(share=True)