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Update app (1).py
Browse files- app (1).py +99 -234
app (1).py
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# Import necessary libraries
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import soundfile as sf
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import torch
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import soundfile as sf
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import os
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from moviepy.editor import VideoFileClip, AudioFileClip, ImageClip
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from PIL import Image
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import tempfile
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import random
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import cv2
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import math
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import
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from moviepy.editor import (
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VideoFileClip, concatenate_videoclips, AudioFileClip, ImageClip,
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CompositeVideoClip, TextClip, CompositeAudioClip
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)
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import gradio as gr
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import shutil
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import os
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import moviepy.video.fx.all as vfx
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import
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from pydub import AudioSegment
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from pydub.generators import Sine
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import pysrt
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from gtts import gTTS
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import gradio as gr # Import Gradio
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#
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# ---------------- Global Configuration ---------------- #
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PEXELS_API_KEY = 'BhJqbcdm9Vi90KqzXKAhnEHGsuFNv4irXuOjWtT761U49lRzo03qBGna'
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OPENROUTER_API_KEY = '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'
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OPENROUTER_MODEL = "moonshotai/kimi-k2:free"
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OUTPUT_VIDEO_FILENAME = "final_video.mp4"
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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"
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# Additional global variables needed for the Gradio interface
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selected_voice = 'af_heart' # Default voice
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voice_speed = 0.9 # Default voice speed
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font_size = 45 # Default font size
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@@ -62,24 +65,17 @@ TARGET_RESOLUTION = None
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CAPTION_COLOR = None
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TEMP_FOLDER = None
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# ---------------- Helper Functions ---------------- #
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# (Your existing helper functions remain unchanged: generate_script, parse_script,
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# search_pexels_videos, search_pexels_images, search_google_images, download_image,
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# download_video, generate_media, generate_tts, apply_kenburns_effect,
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# resize_to_fill, find_mp3_files, add_background_music, create_clip,
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# fix_imagemagick_policy)
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# Define these globally as they were in your original code but will be set per run
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TARGET_RESOLUTION = None
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CAPTION_COLOR = None
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TEMP_FOLDER = None
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def generate_script(user_input):
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"""Generate documentary script with proper OpenRouter handling."""
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headers = {
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'Authorization': f'Bearer {OPENROUTER_API_KEY}',
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'HTTP-Referer': 'https://
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'X-Title': 'AI Documentary Maker'
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}
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- The full script should make sense as one connected narration — no randomness.
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- Use natural, formal English. No slang, no fake AI language, and no robotic tone.
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- Do not use humor, sarcasm, or casual language. This is a serious narration.
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- No emotion-sound words like
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- Do not use numbers like 1, 2, 3 — write them out as one, two, three.
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- At the end, add a [Subscribe] tag with a formal or respectful reason to follow or subscribe.
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@@ -125,9 +121,7 @@ Rising temperatures are causing coral bleaching and habitat loss.
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Follow to explore more about the changing planet we live on.
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Now here is the Topic/scrip: {user_input}
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"""
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data = {
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return None
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def parse_script(script_text):
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"""
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Parse the generated script into a list of elements.
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For each section, create two elements:
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- A 'media' element using the section title as the visual prompt.
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- A 'tts' element with the narration text, voice info, and computed duration.
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"""
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sections = {}
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current_title = None
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current_text = ""
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current_title = line[bracket_start+1:bracket_end]
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current_text = line[bracket_end+1:].strip()
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elif current_title:
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current_text +=
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if current_title:
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sections[current_title] = current_text.strip()
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def search_pexels_videos(query, pexels_api_key):
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"""Search for a video on Pexels by query and return a random HD video."""
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headers = {'Authorization': pexels_api_key}
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base_url = "https://api.pexels.com/videos/search"
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num_pages = 3
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retry_delay *= 2
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else:
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print(f"Error fetching videos: {response.status_code} {response.text}")
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print(f"Retrying in {retry_delay} seconds...")
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time.sleep(retry_delay)
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retry_delay *= 2
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else:
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break
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except requests.exceptions.RequestException as e:
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print(f"Request exception: {e}")
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print(f"Retrying in {retry_delay} seconds...")
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time.sleep(retry_delay)
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retry_delay *= 2
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else:
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break
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if all_videos:
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random_video = random.choice(all_videos)
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def search_pexels_images(query, pexels_api_key):
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"""Search for an image on Pexels by query."""
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headers = {'Authorization': pexels_api_key}
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url = "https://api.pexels.com/v1/search"
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params = {"query": query, "per_page": 5, "orientation": "landscape"}
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retry_delay *= 2
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else:
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print(f"Error fetching images: {response.status_code} {response.text}")
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print(f"Retrying in {retry_delay} seconds...")
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time.sleep(retry_delay)
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retry_delay *= 2
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except requests.exceptions.RequestException as e:
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print(f"Request exception: {e}")
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print(f"Retrying in {retry_delay} seconds...")
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time.sleep(retry_delay)
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retry_delay *= 2
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print(f"No Pexels images found for query: {query} after all attempts")
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return None
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"""Download an image from a URL to a local file with enhanced error handling."""
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try:
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headers = {"User-Agent": USER_AGENT}
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print(f"Downloading image from: {image_url}
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response = requests.get(image_url, headers=headers, stream=True, timeout=15)
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response.raise_for_status()
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return None
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def generate_media(prompt, user_image=None, current_index=0, total_segments=1):
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"""
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Generate a visual asset by first searching for a video or using a specific search strategy.
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For news-related queries, use Google Images.
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Returns a dict: {'path': <file_path>, 'asset_type': 'video' or 'image'}.
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"""
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safe_prompt = re.sub(r'[^\w\s-]', '', prompt).strip().replace(' ', '_')
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if "news" in prompt.lower():
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if downloaded_image:
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print(f"News image saved to {downloaded_image}")
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return {"path": downloaded_image, "asset_type": "image"}
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else:
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print(f"Google Images search failed for prompt: {prompt}")
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if random.random() < video_clip_probability:
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video_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_video.mp4")
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if downloaded_video:
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print(f"Video asset saved to {downloaded_video}")
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return {"path": downloaded_video, "asset_type": "video"}
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else:
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print(f"Pexels video search failed for prompt: {prompt}")
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image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}.jpg")
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image_url = search_pexels_images(prompt, PEXELS_API_KEY)
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if downloaded_image:
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print(f"Image asset saved to {downloaded_image}")
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return {"path": downloaded_image, "asset_type": "image"}
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else:
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print(f"Pexels image download failed for prompt: {prompt}")
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fallback_terms = ["nature", "people", "landscape", "technology", "business"]
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for term in fallback_terms:
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print(f"Trying fallback image search with term: {term}")
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if downloaded_fallback:
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print(f"Fallback image saved to {downloaded_fallback}")
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return {"path": downloaded_fallback, "asset_type": "image"}
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else:
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print(f"Fallback image download failed for term: {term}")
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else:
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print(f"Fallback image search failed for term: {term}")
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print(f"Failed to generate visual asset for prompt: {prompt}")
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return None
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return silent_path
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def generate_tts(text, voice):
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"""
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Generate TTS audio using Kokoro, falling back to gTTS or silent audio if needed.
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"""
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safe_text = re.sub(r'[^\w\s-]', '', text[:10]).strip().replace(' ', '_')
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file_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.wav")
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print(f"Using cached TTS for text '{text[:10]}...'")
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return file_path
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generator = pipeline(text, voice=kokoro_voice, speed=voice_speed, split_pattern=r'\n+')
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audio_segments = []
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for i, (gs, ps, audio) in enumerate(generator):
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audio_segments.append(audio)
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full_audio = np.concatenate(audio_segments) if len(audio_segments) > 1 else audio_segments[0]
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sf.write(file_path, full_audio, 24000)
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print(f"TTS audio saved to {file_path} (Kokoro)")
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return file_path
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except Exception as e:
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print(f"Error with Kokoro TTS: {e}")
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try:
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print(f"
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return file_path
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except Exception as
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print(f"
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def apply_kenburns_effect(clip, target_resolution, effect_type=None):
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"""Apply a smooth Ken Burns effect with a single movement pattern."""
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return clip
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def find_mp3_files():
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"""Search for any MP3 files in the current directory and subdirectories."""
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mp3_files = []
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for root, dirs, files in os.walk('.'):
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for file in files:
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if file.endswith('.mp3'):
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mp3_path = os.path.join(root, file)
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mp3_files.append(mp3_path)
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print(f"Found MP3 file: {mp3_path}")
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return mp3_files[0] if mp3_files else None
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def add_background_music(final_video, bg_music_volume=0.10):
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"""Add background music to the final video using any MP3 file found."""
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try:
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else:
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return None
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try:
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words = narration_text.split()
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chunks = []
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current_chunk = []
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for word in words:
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current_chunk.append(word)
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if len(current_chunk) >= 5:
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chunks.append(' '.join(current_chunk))
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current_chunk = []
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if current_chunk:
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chunks.append(' '.join(current_chunk))
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chunk_duration = audio_duration / len(chunks)
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subtitle_clips = []
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subtitle_y_position = int(TARGET_RESOLUTION[1] * 0.70)
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for i, chunk_text in enumerate(chunks):
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start_time = i * chunk_duration
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end_time = (i + 1) * chunk_duration
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txt_clip = TextClip(
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chunk_text,
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fontsize=45,
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font='Arial-Bold',
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color=CAPTION_COLOR,
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bg_color='rgba(0, 0, 0, 0.25)',
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method='caption',
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align='center',
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stroke_width=2,
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stroke_color=CAPTION_COLOR,
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size=(TARGET_RESOLUTION[0] * 0.8, None)
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).set_start(start_time).set_end(end_time)
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txt_clip = txt_clip.set_position(('center', subtitle_y_position))
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subtitle_clips.append(txt_clip)
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clip = CompositeVideoClip([clip] + subtitle_clips)
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except Exception as sub_error:
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print(f"Subtitle error: {sub_error}")
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txt_clip = TextClip(
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narration_text,
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fontsize=font_size,
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color=CAPTION_COLOR,
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align='center',
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size=(TARGET_RESOLUTION[0] * 0.7, None)
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).set_position(('center', int(TARGET_RESOLUTION[1] / 3))).set_duration(clip.duration)
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clip = CompositeVideoClip([clip, txt_clip])
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clip = clip.set_audio(audio_clip)
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print(f"Clip created: {clip.duration:.1f}s")
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return clip
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except Exception as e:
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print(f"Error in create_clip: {str(e)}")
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return None
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def fix_imagemagick_policy():
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"""Fix ImageMagick security policies."""
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try:
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print("Attempting to fix ImageMagick security policies...")
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policy_paths = [
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"/etc/ImageMagick-6/policy.xml",
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"/etc/ImageMagick-7/policy.xml",
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"/etc/ImageMagick/policy.xml",
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"/usr/local/etc/ImageMagick-7/policy.xml"
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]
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found_policy = next((path for path in policy_paths if os.path.exists(path)), None)
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if not found_policy:
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print("No policy.xml found. Using alternative subtitle method.")
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return False
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print(f"Modifying policy file at {found_policy}")
|
| 733 |
-
os.system(f"sudo cp {found_policy} {found_policy}.bak")
|
| 734 |
-
os.system(f"sudo sed -i 's/rights=\"none\"/rights=\"read|write\"/g' {found_policy}")
|
| 735 |
-
os.system(f"sudo sed -i 's/<policy domain=\"path\" pattern=\"@\*\"[^>]*>/<policy domain=\"path\" pattern=\"@*\" rights=\"read|write\"/g' {found_policy}")
|
| 736 |
-
os.system(f"sudo sed -i 's/<policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"[^>]*>/<!-- <policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"> -->/g' {found_policy}")
|
| 737 |
-
print("ImageMagick policies updated successfully.")
|
| 738 |
-
return True
|
| 739 |
-
except Exception as e:
|
| 740 |
-
print(f"Error fixing policies: {e}")
|
| 741 |
-
return False
|
| 742 |
-
|
| 743 |
-
|
| 744 |
-
|
| 745 |
-
|
| 746 |
-
|
| 747 |
-
|
| 748 |
-
|
| 749 |
-
|
| 750 |
-
|
| 751 |
-
|
| 752 |
-
|
| 753 |
-
|
| 754 |
-
|
| 755 |
-
|
| 756 |
-
|
| 757 |
-
|
| 758 |
-
|
| 759 |
-
|
| 760 |
-
|
| 761 |
-
|
| 762 |
-
|
| 763 |
-
|
| 764 |
-
|
| 765 |
-
|
| 766 |
-
|
| 767 |
-
|
| 768 |
|
| 769 |
# ---------------- Main Video Generation Function ---------------- #
|
| 770 |
def generate_video(user_input, resolution, caption_option):
|
| 771 |
"""Generate a video based on user input via Gradio."""
|
| 772 |
global TARGET_RESOLUTION, CAPTION_COLOR, TEMP_FOLDER
|
| 773 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 774 |
# Set resolution
|
| 775 |
if resolution == "Full":
|
| 776 |
TARGET_RESOLUTION = (1920, 1080)
|
|
@@ -785,11 +651,6 @@ def generate_video(user_input, resolution, caption_option):
|
|
| 785 |
# Create a unique temporary folder
|
| 786 |
TEMP_FOLDER = tempfile.mkdtemp()
|
| 787 |
|
| 788 |
-
# Fix ImageMagick policy
|
| 789 |
-
fix_success = fix_imagemagick_policy()
|
| 790 |
-
if not fix_success:
|
| 791 |
-
print("Will use alternative methods if needed")
|
| 792 |
-
|
| 793 |
print("Generating script from API...")
|
| 794 |
script = generate_script(user_input)
|
| 795 |
if not script:
|
|
@@ -894,6 +755,10 @@ VOICE_CHOICES = {
|
|
| 894 |
def generate_video_with_options(user_input, resolution, caption_option, music_file, voice, vclip_prob, bg_vol, video_fps, video_preset, v_speed, caption_size):
|
| 895 |
global selected_voice, voice_speed, font_size, video_clip_probability, bg_music_volume, fps, preset
|
| 896 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 897 |
# Update global variables with user selections
|
| 898 |
selected_voice = VOICE_CHOICES[voice]
|
| 899 |
voice_speed = v_speed
|
|
@@ -916,7 +781,7 @@ def generate_video_with_options(user_input, resolution, caption_option, music_fi
|
|
| 916 |
iface = gr.Interface(
|
| 917 |
fn=generate_video_with_options,
|
| 918 |
inputs=[
|
| 919 |
-
gr.Textbox(label="Video Concept", placeholder="Enter your video concept here..."),
|
| 920 |
gr.Radio(["Full", "Short"], label="Resolution", value="Full"),
|
| 921 |
gr.Radio(["No"], label="Captions (Coming Soon)", value="No"),
|
| 922 |
gr.File(label="Upload Background Music (MP3)", file_types=[".mp3"]),
|
|
@@ -931,9 +796,9 @@ iface = gr.Interface(
|
|
| 931 |
],
|
| 932 |
outputs=gr.Video(label="Generated Video"),
|
| 933 |
title="AI Documentary Video Generator",
|
| 934 |
-
description="Create short documentary videos with AI. Upload music, choose voice, and customize settings."
|
| 935 |
)
|
| 936 |
|
| 937 |
# Launch the interface
|
| 938 |
if __name__ == "__main__":
|
| 939 |
-
iface.launch(
|
|
|
|
|
|
|
|
|
|
| 1 |
# Import necessary libraries
|
| 2 |
+
import os
|
|
|
|
| 3 |
import soundfile as sf
|
| 4 |
import torch
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
import tempfile
|
| 6 |
import random
|
| 7 |
import cv2
|
| 8 |
import math
|
| 9 |
+
import time
|
| 10 |
+
import re
|
| 11 |
+
import requests
|
| 12 |
+
import io
|
| 13 |
+
import shutil
|
| 14 |
+
import numpy as np
|
| 15 |
+
from bs4 import BeautifulSoup
|
| 16 |
+
from urllib.parse import quote
|
| 17 |
+
import pysrt
|
| 18 |
+
from gtts import gTTS
|
| 19 |
+
import gradio as gr
|
| 20 |
+
|
| 21 |
+
# Import Kokoro
|
| 22 |
+
from kokoro import KPipeline
|
| 23 |
+
|
| 24 |
+
# Import moviepy components
|
| 25 |
from moviepy.editor import (
|
| 26 |
VideoFileClip, concatenate_videoclips, AudioFileClip, ImageClip,
|
| 27 |
+
CompositeVideoClip, TextClip, CompositeAudioClip, concatenate_audioclips
|
| 28 |
)
|
|
|
|
|
|
|
|
|
|
| 29 |
import moviepy.video.fx.all as vfx
|
| 30 |
+
from PIL import Image, ImageDraw, ImageFont
|
| 31 |
from pydub import AudioSegment
|
| 32 |
from pydub.generators import Sine
|
| 33 |
|
| 34 |
+
# ---------------- Secret Management ---------------- #
|
| 35 |
+
# Get secrets from environment variables (set in Gradio Space settings)
|
| 36 |
+
PEXELS_API_KEY = os.getenv('PEXELS_API_KEY', '')
|
| 37 |
+
OPENROUTER_API_KEY = os.getenv('OPENROUTER_API_KEY', '')
|
| 38 |
+
OPENROUTER_MODEL = os.getenv('OPENROUTER_MODEL', 'moonshotai/kimi-k2:free')
|
|
|
|
|
|
|
|
|
|
| 39 |
|
| 40 |
+
# Check if secrets are loaded
|
| 41 |
+
if not PEXELS_API_KEY or not OPENROUTER_API_KEY:
|
| 42 |
+
print("WARNING: API keys not found in environment variables!")
|
| 43 |
+
print("Please set PEXELS_API_KEY and OPENROUTER_API_KEY in your Gradio Space secrets.")
|
| 44 |
|
| 45 |
# ---------------- Global Configuration ---------------- #
|
|
|
|
|
|
|
|
|
|
| 46 |
OUTPUT_VIDEO_FILENAME = "final_video.mp4"
|
| 47 |
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"
|
| 48 |
|
| 49 |
+
# Initialize Kokoro TTS pipeline (using American English)
|
| 50 |
+
try:
|
| 51 |
+
pipeline = KPipeline(lang_code='a')
|
| 52 |
+
except Exception as e:
|
| 53 |
+
print(f"Warning: Kokoro initialization failed: {e}")
|
| 54 |
+
pipeline = None
|
| 55 |
|
| 56 |
+
# Global variables for video generation
|
|
|
|
| 57 |
selected_voice = 'af_heart' # Default voice
|
| 58 |
voice_speed = 0.9 # Default voice speed
|
| 59 |
font_size = 45 # Default font size
|
|
|
|
| 65 |
CAPTION_COLOR = None
|
| 66 |
TEMP_FOLDER = None
|
| 67 |
|
|
|
|
| 68 |
# ---------------- Helper Functions ---------------- #
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 69 |
|
| 70 |
def generate_script(user_input):
|
| 71 |
"""Generate documentary script with proper OpenRouter handling."""
|
| 72 |
+
if not OPENROUTER_API_KEY:
|
| 73 |
+
print("OpenRouter API key not configured")
|
| 74 |
+
return None
|
| 75 |
+
|
| 76 |
headers = {
|
| 77 |
'Authorization': f'Bearer {OPENROUTER_API_KEY}',
|
| 78 |
+
'HTTP-Referer': 'https://huggingface.co', # Use HuggingFace as referer
|
| 79 |
'X-Title': 'AI Documentary Maker'
|
| 80 |
}
|
| 81 |
|
|
|
|
| 89 |
- The full script should make sense as one connected narration — no randomness.
|
| 90 |
- Use natural, formal English. No slang, no fake AI language, and no robotic tone.
|
| 91 |
- Do not use humor, sarcasm, or casual language. This is a serious narration.
|
| 92 |
+
- No emotion-sound words like "aww," "eww," "whoa," etc.
|
| 93 |
- Do not use numbers like 1, 2, 3 — write them out as one, two, three.
|
| 94 |
- At the end, add a [Subscribe] tag with a formal or respectful reason to follow or subscribe.
|
| 95 |
|
|
|
|
| 121 |
|
| 122 |
Follow to explore more about the changing planet we live on.
|
| 123 |
|
| 124 |
+
Now here is the Topic/script: {user_input}
|
|
|
|
|
|
|
| 125 |
"""
|
| 126 |
|
| 127 |
data = {
|
|
|
|
| 155 |
return None
|
| 156 |
|
| 157 |
def parse_script(script_text):
|
| 158 |
+
"""Parse the generated script into a list of elements."""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 159 |
sections = {}
|
| 160 |
current_title = None
|
| 161 |
current_text = ""
|
|
|
|
| 172 |
current_title = line[bracket_start+1:bracket_end]
|
| 173 |
current_text = line[bracket_end+1:].strip()
|
| 174 |
elif current_title:
|
| 175 |
+
current_text += " " + line
|
| 176 |
|
| 177 |
if current_title:
|
| 178 |
sections[current_title] = current_text.strip()
|
|
|
|
| 196 |
|
| 197 |
def search_pexels_videos(query, pexels_api_key):
|
| 198 |
"""Search for a video on Pexels by query and return a random HD video."""
|
| 199 |
+
if not pexels_api_key:
|
| 200 |
+
print("Pexels API key not configured")
|
| 201 |
+
return None
|
| 202 |
+
|
| 203 |
headers = {'Authorization': pexels_api_key}
|
| 204 |
base_url = "https://api.pexels.com/videos/search"
|
| 205 |
num_pages = 3
|
|
|
|
| 240 |
retry_delay *= 2
|
| 241 |
else:
|
| 242 |
print(f"Error fetching videos: {response.status_code} {response.text}")
|
| 243 |
+
break
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 244 |
|
| 245 |
except requests.exceptions.RequestException as e:
|
| 246 |
print(f"Request exception: {e}")
|
| 247 |
+
break
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 248 |
|
| 249 |
if all_videos:
|
| 250 |
random_video = random.choice(all_videos)
|
|
|
|
| 256 |
|
| 257 |
def search_pexels_images(query, pexels_api_key):
|
| 258 |
"""Search for an image on Pexels by query."""
|
| 259 |
+
if not pexels_api_key:
|
| 260 |
+
print("Pexels API key not configured")
|
| 261 |
+
return None
|
| 262 |
+
|
| 263 |
headers = {'Authorization': pexels_api_key}
|
| 264 |
url = "https://api.pexels.com/v1/search"
|
| 265 |
params = {"query": query, "per_page": 5, "orientation": "landscape"}
|
|
|
|
| 288 |
retry_delay *= 2
|
| 289 |
else:
|
| 290 |
print(f"Error fetching images: {response.status_code} {response.text}")
|
| 291 |
+
break
|
|
|
|
|
|
|
|
|
|
| 292 |
|
| 293 |
except requests.exceptions.RequestException as e:
|
| 294 |
print(f"Request exception: {e}")
|
| 295 |
+
break
|
|
|
|
|
|
|
|
|
|
| 296 |
|
| 297 |
print(f"No Pexels images found for query: {query} after all attempts")
|
| 298 |
return None
|
|
|
|
| 325 |
"""Download an image from a URL to a local file with enhanced error handling."""
|
| 326 |
try:
|
| 327 |
headers = {"User-Agent": USER_AGENT}
|
| 328 |
+
print(f"Downloading image from: {image_url}")
|
| 329 |
response = requests.get(image_url, headers=headers, stream=True, timeout=15)
|
| 330 |
response.raise_for_status()
|
| 331 |
|
|
|
|
| 378 |
return None
|
| 379 |
|
| 380 |
def generate_media(prompt, user_image=None, current_index=0, total_segments=1):
|
| 381 |
+
"""Generate a visual asset by searching for videos or images."""
|
|
|
|
|
|
|
|
|
|
|
|
|
| 382 |
safe_prompt = re.sub(r'[^\w\s-]', '', prompt).strip().replace(' ', '_')
|
| 383 |
|
| 384 |
if "news" in prompt.lower():
|
|
|
|
| 390 |
if downloaded_image:
|
| 391 |
print(f"News image saved to {downloaded_image}")
|
| 392 |
return {"path": downloaded_image, "asset_type": "image"}
|
|
|
|
|
|
|
| 393 |
|
| 394 |
if random.random() < video_clip_probability:
|
| 395 |
video_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_video.mp4")
|
|
|
|
| 399 |
if downloaded_video:
|
| 400 |
print(f"Video asset saved to {downloaded_video}")
|
| 401 |
return {"path": downloaded_video, "asset_type": "video"}
|
|
|
|
|
|
|
| 402 |
|
| 403 |
image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}.jpg")
|
| 404 |
image_url = search_pexels_images(prompt, PEXELS_API_KEY)
|
|
|
|
| 407 |
if downloaded_image:
|
| 408 |
print(f"Image asset saved to {downloaded_image}")
|
| 409 |
return {"path": downloaded_image, "asset_type": "image"}
|
|
|
|
|
|
|
| 410 |
|
| 411 |
+
# Fallback to generic images
|
| 412 |
fallback_terms = ["nature", "people", "landscape", "technology", "business"]
|
| 413 |
for term in fallback_terms:
|
| 414 |
print(f"Trying fallback image search with term: {term}")
|
|
|
|
| 419 |
if downloaded_fallback:
|
| 420 |
print(f"Fallback image saved to {downloaded_fallback}")
|
| 421 |
return {"path": downloaded_fallback, "asset_type": "image"}
|
|
|
|
|
|
|
|
|
|
|
|
|
| 422 |
|
| 423 |
print(f"Failed to generate visual asset for prompt: {prompt}")
|
| 424 |
return None
|
|
|
|
| 433 |
return silent_path
|
| 434 |
|
| 435 |
def generate_tts(text, voice):
|
| 436 |
+
"""Generate TTS audio using Kokoro, falling back to gTTS or silent audio if needed."""
|
|
|
|
|
|
|
| 437 |
safe_text = re.sub(r'[^\w\s-]', '', text[:10]).strip().replace(' ', '_')
|
| 438 |
file_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.wav")
|
| 439 |
|
|
|
|
| 441 |
print(f"Using cached TTS for text '{text[:10]}...'")
|
| 442 |
return file_path
|
| 443 |
|
| 444 |
+
# Try Kokoro if available
|
| 445 |
+
if pipeline:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 446 |
try:
|
| 447 |
+
kokoro_voice = selected_voice if voice == 'en' else voice
|
| 448 |
+
generator = pipeline(text, voice=kokoro_voice, speed=voice_speed, split_pattern=r'\n+')
|
| 449 |
+
audio_segments = []
|
| 450 |
+
for i, (gs, ps, audio) in enumerate(generator):
|
| 451 |
+
audio_segments.append(audio)
|
| 452 |
+
full_audio = np.concatenate(audio_segments) if len(audio_segments) > 1 else audio_segments[0]
|
| 453 |
+
sf.write(file_path, full_audio, 24000)
|
| 454 |
+
print(f"TTS audio saved to {file_path} (Kokoro)")
|
| 455 |
return file_path
|
| 456 |
+
except Exception as e:
|
| 457 |
+
print(f"Error with Kokoro TTS: {e}")
|
| 458 |
+
|
| 459 |
+
# Fallback to gTTS
|
| 460 |
+
try:
|
| 461 |
+
print("Falling back to gTTS...")
|
| 462 |
+
tts = gTTS(text=text, lang='en')
|
| 463 |
+
mp3_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.mp3")
|
| 464 |
+
tts.save(mp3_path)
|
| 465 |
+
audio = AudioSegment.from_mp3(mp3_path)
|
| 466 |
+
audio.export(file_path, format="wav")
|
| 467 |
+
os.remove(mp3_path)
|
| 468 |
+
print(f"Fallback TTS saved to {file_path} (gTTS)")
|
| 469 |
+
return file_path
|
| 470 |
+
except Exception as fallback_error:
|
| 471 |
+
print(f"Both TTS methods failed: {fallback_error}")
|
| 472 |
+
return generate_silent_audio(duration=max(3, len(text.split()) * 0.5))
|
| 473 |
|
| 474 |
def apply_kenburns_effect(clip, target_resolution, effect_type=None):
|
| 475 |
"""Apply a smooth Ken Burns effect with a single movement pattern."""
|
|
|
|
| 563 |
|
| 564 |
return clip
|
| 565 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 566 |
def add_background_music(final_video, bg_music_volume=0.10):
|
| 567 |
"""Add background music to the final video using any MP3 file found."""
|
| 568 |
try:
|
|
|
|
| 620 |
else:
|
| 621 |
return None
|
| 622 |
|
| 623 |
+
# Skip subtitles for now since captions are disabled
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 624 |
clip = clip.set_audio(audio_clip)
|
| 625 |
print(f"Clip created: {clip.duration:.1f}s")
|
| 626 |
return clip
|
| 627 |
except Exception as e:
|
| 628 |
print(f"Error in create_clip: {str(e)}")
|
| 629 |
return None
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 630 |
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| 631 |
# ---------------- Main Video Generation Function ---------------- #
|
| 632 |
def generate_video(user_input, resolution, caption_option):
|
| 633 |
"""Generate a video based on user input via Gradio."""
|
| 634 |
global TARGET_RESOLUTION, CAPTION_COLOR, TEMP_FOLDER
|
| 635 |
|
| 636 |
+
# Check if API keys are configured
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| 637 |
+
if not PEXELS_API_KEY or not OPENROUTER_API_KEY:
|
| 638 |
+
return None
|
| 639 |
+
|
| 640 |
# Set resolution
|
| 641 |
if resolution == "Full":
|
| 642 |
TARGET_RESOLUTION = (1920, 1080)
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| 651 |
# Create a unique temporary folder
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| 652 |
TEMP_FOLDER = tempfile.mkdtemp()
|
| 653 |
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| 654 |
print("Generating script from API...")
|
| 655 |
script = generate_script(user_input)
|
| 656 |
if not script:
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|
| 755 |
def generate_video_with_options(user_input, resolution, caption_option, music_file, voice, vclip_prob, bg_vol, video_fps, video_preset, v_speed, caption_size):
|
| 756 |
global selected_voice, voice_speed, font_size, video_clip_probability, bg_music_volume, fps, preset
|
| 757 |
|
| 758 |
+
# Check if API keys are configured
|
| 759 |
+
if not PEXELS_API_KEY or not OPENROUTER_API_KEY:
|
| 760 |
+
return gr.Error("API keys not configured. Please set PEXELS_API_KEY and OPENROUTER_API_KEY in Space secrets.")
|
| 761 |
+
|
| 762 |
# Update global variables with user selections
|
| 763 |
selected_voice = VOICE_CHOICES[voice]
|
| 764 |
voice_speed = v_speed
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|
| 781 |
iface = gr.Interface(
|
| 782 |
fn=generate_video_with_options,
|
| 783 |
inputs=[
|
| 784 |
+
gr.Textbox(label="Video Concept", placeholder="Enter your video concept here...", lines=3),
|
| 785 |
gr.Radio(["Full", "Short"], label="Resolution", value="Full"),
|
| 786 |
gr.Radio(["No"], label="Captions (Coming Soon)", value="No"),
|
| 787 |
gr.File(label="Upload Background Music (MP3)", file_types=[".mp3"]),
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|
| 796 |
],
|
| 797 |
outputs=gr.Video(label="Generated Video"),
|
| 798 |
title="AI Documentary Video Generator",
|
| 799 |
+
description="Create short documentary videos with AI. Upload music, choose voice, and customize settings.\n\n⚠️ **Important**: Make sure to set your API keys in the Space secrets!"
|
| 800 |
)
|
| 801 |
|
| 802 |
# Launch the interface
|
| 803 |
if __name__ == "__main__":
|
| 804 |
+
iface.launch()
|