TIKTOK SINTETICO MYM-A MODO SCALA




 import tkinter as tk

from selenium import webdriver

from selenium.webdriver.firefox.service import Service as FirefoxService

from webdriver_manager.firefox import GeckoDriverManager

from bs4 import BeautifulSoup

import time

import numpy as np

import cv2

import pyttsx3

import os

import moviepy.editor as mpe

from PIL import Image, ImageTk

import io

# Function to scrape the news using Selenium and BeautifulSoup

def fetch_news():

    print("Fetching news...")

    try:

        driver = webdriver.Firefox(service=FirefoxService(GeckoDriverManager().install()))

        driver.get("https://www.bbc.com/news")

        time.sleep(20)

        soup = BeautifulSoup(driver.page_source, "html.parser")

        articles = soup.find_all('h2', {"data-testid": "card-headline"}, limit=3)

        news = []

        for article in articles:

            title = article.text if article else "No title available."

            description = article.find_next('p').text if article.find_next('p') else "No description available."

            image_tag = article.find_previous('img')

            image_data = None

            if image_tag and 'src' in image_tag.attrs:

                image_url = image_tag['src']

                driver.get(image_url)

                image_data = driver.get_screenshot_as_png()

            news.append((title, description, image_data))

        driver.quit()

        return news

    except Exception as e:

        print(f"Failed to fetch news: {e}")

        return [("Error", f"Failed to fetch news: {e}", None)]

def data_to_image(image_data):

    try:

        img = Image.open(io.BytesIO(image_data))

        return img

    except Exception as e:

        print(f"Failed to convert image data: {e}")

        return None

def text_to_speech(news):

    engine = pyttsx3.init()

    audio_files = []

    for i, (title, description, _) in enumerate(news):

        text = f"{title}. {description}"

        audio_path = f"news_{i + 1}.wav"

        engine.save_to_file(text, audio_path)

        audio_files.append(audio_path)

    engine.runAndWait()

    return audio_files

def generate_video(news, audio_files):

    fourcc = cv2.VideoWriter_fourcc(*'mp4v')

    fps = 24

    frame_size = (1080, 1920)  # Adjusted resolution for TikTok

    word_duration = 14

    num_frames_per_word = fps * word_duration

    num_frames = num_frames_per_word * len(news)

    video_path = 'news_video.mp4'

    out = cv2.VideoWriter(video_path, fourcc, fps, frame_size)

    for i in range(num_frames):

        paragraph_index = i // num_frames_per_word

        frame = np.zeros((1920, 1080, 3), dtype=np.uint8)  # Black background by default

        title, description, image_data = news[paragraph_index]

        text = f"{title}: {description}"

        font = cv2.FONT_HERSHEY_SIMPLEX

        font_scale = 1.5

        font_thickness = 3

        max_line_width = frame_size[0] - 40

        wrapped_text = wrap_text(text, font, font_scale, max_line_width)

        if image_data:

            img = data_to_image(image_data)

            if img:

                img = img.resize((800, 800), Image.ANTIALIAS)  # Resize image to 100x100 for debugging

                img_np = np.array(img)

                if img_np.shape[2] == 4:

                    img_np = cv2.cvtColor(img_np, cv2.COLOR_RGBA2RGB)

               

                img_y, img_x, _ = img_np.shape

                # Calculate the center position for the image

                center_x = (frame_size[0] - img_x) // 2

                center_y = (frame_size[1] - img_y) // 2

                # Place the image at the center

                frame[center_y:center_y + img_y, center_x:center_x + img_x] = img_np

        y0, dy = 1500, 60  # Adjusted y-position for high-resolution text overlay

        for j, line in enumerate(wrapped_text):

            text_size = cv2.getTextSize(line, font, font_scale, font_thickness)[0]

            text_x = int((frame_size[0] - text_size[0]) / 2)

            text_y = y0 + j * dy

            cv2.putText(frame, line, (text_x, text_y), font, font_scale, (255, 255, 255), font_thickness, lineType=cv2.LINE_AA)

        out.write(frame)

    out.release()

    video_clip = mpe.VideoFileClip(video_path)

    audio_clips = [mpe.AudioFileClip(audio) for audio in audio_files]

    audio_start_times = [i * word_duration for i in range(len(news))]

    final_audio = mpe.CompositeAudioClip([

        audio_clips[i].set_start(audio_start_times[i])

        for i in range(len(news))

    ])

    final_clip = video_clip.set_audio(final_audio)

    final_clip.write_videofile("final_news_video_with_audio.mp4", codec="libx264", fps=fps)

    for audio in audio_files:

        os.remove(audio)

    print("Video with synchronized audio saved successfully.")

def wrap_text(text, font, font_scale, max_width):

    words = text.split(' ')

    lines = []

    current_line = ''

    for word in words:

        test_line = current_line + word + ' '

        text_size = cv2.getTextSize(test_line, font, font_scale, 1)[0]

        if text_size[0] <= max_width:

            current_line = test_line

        else:

            lines.append(current_line)

            current_line = word + ' '

    lines.append(current_line.strip())

    return lines

def display_news():

    for widget in news_frame.winfo_children():

        widget.destroy()

    news_data = fetch_news()

    audio_files = text_to_speech(news_data)

    generate_video(news_data, audio_files)

    for i, (title, description, image_data) in enumerate(news_data):

        title_label = tk.Label(news_frame, text=title, font=("Arial", 14, "bold"))

        title_label.grid(row=i*3, column=0, sticky="w", padx=10, pady=5)

        desc_label = tk.Label(news_frame, text=description, wraplength=600, justify="left")

        desc_label.grid(row=i*3+1, column=0, sticky="w", padx=10, pady=5)

        if image_data:

            img = data_to_image(image_data)

            if img:

                img.thumbnail((300, 200))

                img_tk = ImageTk.PhotoImage(img)

                img_label = tk.Label(news_frame, image=img_tk)

                img_label.image = img_tk

                img_label.grid(row=i*3+2, column=0, sticky="w", padx=10, pady=5)

root = tk.Tk()

root.title("Top News")

root.geometry("250x100")

news_frame = tk.Frame(root)

news_frame.pack(fill="both", expand=True)

connect_button = tk.Button(root, text="Connect", command=display_news, font=("Arial", 12))

connect_button.pack(pady=20)

root.mainloop()