app.py

import gradio as gr
import tempfile, requests, os, subprocess
from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate
from langchain.chat_models import ChatOpenAI
from gtts import gTTS
from bs4 import BeautifulSoup
from PIL import Image, ImageDraw, ImageFont, ImageEnhance
import ffmpeg
import textwrap
import random
from urllib.request import urlretrieve

UNSPLASH_KEY = "-7tFgMCy_pwrouZrC8mmEIBpyskEyP25e3_Y4vWSvBs"

llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0.3)
summary_prompt = PromptTemplate.from_template("""
Provide a crisp, promotional-style summary (under 50 words) of the following:

{text}

Summary:
""")
summary_chain = LLMChain(llm=llm, prompt=summary_prompt)

def extract_main_content(url):
    resp = requests.get(url, timeout=10)
    soup = BeautifulSoup(resp.content, "html.parser")
    for tag in soup(["nav", "header", "footer", "aside", "script", "style", "noscript"]): tag.decompose()
    paras = [p.get_text() for p in soup.find_all("p") if len(p.get_text()) > 60]
    return "\n".join(paras[:20]) or None

def fetch_unsplash_image(query):
    url = f"https://api.unsplash.com/photos/random?query={query}&orientation=landscape&client_id={UNSPLASH_KEY}"
    try:
        resp = requests.get(url).json()
        return resp['urls']['regular']
    except:
        return "https://img.freepik.com/free-photo/blue-abstract-gradient-wave-wallpaper_53876-102605.jpg"

ASSETS = {
    "logo": "https://huggingface.co/spaces/csccorner/Link-to-video/resolve/main/csharplogo.png",
    "illustration": "https://img.freepik.com/free-vector/startup-launch-concept-with-rocket_23-2147866180.jpg"
}

def download_asset(url):
    local_path = tempfile.NamedTemporaryFile(delete=False, suffix=".png").name
    urlretrieve(url, local_path)
    return local_path

def create_slides(text, duration, output_folder, max_lines=6):
    font_path = "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf"
    font = ImageFont.truetype(font_path, 48)
    logo_path = download_asset(ASSETS["logo"])
    graphic_path = download_asset(ASSETS["illustration"])

    query_keywords = random.choice(["blockchain", "AI", "programming", "startup"])
    bg_path = download_asset(fetch_unsplash_image(query_keywords))

    chunks = textwrap.wrap(text, width=36)
    slides = ["\n".join(chunks[i:i+max_lines]) for i in range(0, len(chunks), max_lines)]
    per_slide_time = duration / len(slides)
    slide_paths = []

    for i, slide_text in enumerate(slides):
        bg = Image.open(bg_path).resize((1280, 720)).convert("RGBA")
        enhancer = ImageEnhance.Brightness(bg)
        bg = enhancer.enhance(0.3)
        draw = ImageDraw.Draw(bg)

        lines = slide_text.split("\n")
        total_height = sum([font.getbbox(line)[3] - font.getbbox(line)[1] for line in lines]) + (len(lines)-1)*20
        y = max((720 - total_height) // 2, 20)
        for line in lines:
            w = font.getbbox(line)[2] - font.getbbox(line)[0]
            draw.text(((1280 - w) // 2, y), line.encode('utf-8', 'replace').decode('utf-8'), font=font, fill="white")
            y += font.getbbox(line)[3] - font.getbbox(line)[1] + 20

        logo = Image.open(logo_path).convert("RGBA")
        logo = logo.resize((160, int(160 * logo.size[1] / logo.size[0])))
        bg.paste(logo, (30, 630 - logo.size[1]), logo)

        graphic = Image.open(graphic_path).convert("RGBA")
        graphic = graphic.resize((200, 200))
        bg.paste(graphic, (1040, 40), graphic)

        frame_path = os.path.join(output_folder, f"slide_{i}.png")
        bg.convert("RGB").save(frame_path)
        slide_paths.append((frame_path, per_slide_time))

    return slide_paths

def url_to_av_summary(url, duration):
    content = extract_main_content(url)
    if not content:
        return "Failed to extract article content.", None
    summary = summary_chain.invoke({"text": content[:3000]})["text"].replace('"','')[:300]

    audio_path = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3").name
    gTTS(text=summary).save(audio_path)

    frame_dir = tempfile.mkdtemp()
    slides = create_slides(summary, duration, frame_dir)

    concat_txt_path = os.path.join(frame_dir, "slides.txt")
    with open(concat_txt_path, "w") as f:
        for path, t in slides:
            f.write(f"file '{path}'\n")
            f.write(f"duration {t}\n")
        f.write(f"file '{slides[-1][0]}'\n")

    concat_img = os.path.join(frame_dir, "video_input.mp4")
    subprocess.run([
        "ffmpeg", "-y", "-f", "concat", "-safe", "0", "-i", concat_txt_path,
        "-vsync", "vfr", "-pix_fmt", "yuv420p", concat_img
    ], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)

    final_video = tempfile.NamedTemporaryFile(delete=False, suffix=".mp4").name
    video_input = ffmpeg.input(concat_img)
    audio_input = ffmpeg.input(audio_path)

    ffmpeg.output(video_input, audio_input, final_video,
                  vcodec='libx264', acodec='aac', pix_fmt='yuv420p', shortest=None
    ).run(overwrite_output=True, quiet=True)

    return summary, final_video

iface = gr.Interface(
    fn=url_to_av_summary,
    inputs=[
        gr.Textbox(label="Article URL"),
        gr.Radio([5, 10], label="Video Duration (sec)", value=5)
    ],
    outputs=[
        gr.Textbox(label="Summary"),
        gr.Video(label="Generated AV Summary")
    ],
    title="🎞️ AV Summary Generator (Visual Promo Style)",
    description="Generates a 5/10 sec video summary from article URL with clean typography, visuals, logo and illustration."
)

if __name__ == '__main__':
    iface.launch()