app.py

import os
import json
import urllib.request
from PIL import Image
from gtts import gTTS
import cv2
import moviepy.editor as mp
import logging
from openai import AzureOpenAI
import uuid
import time
import gradio as gr
# Configure logging
log_dir = os.getenv('LOG_DIRECTORY', './')
LOGGER_FILE_PATH = os.path.join(str(log_dir), 'utils.log')

logging.basicConfig(
    filename=LOGGER_FILE_PATH,
    filemode='a',
    format='[%(asctime)s] [%(levelname)s] [%(filename)s] [%(lineno)s:%(funcName)s()] %(message)s',
    datefmt='%Y-%b-%d %H:%M:%S'
)
LOGGER = logging.getLogger(__name__)

log_level_env = os.getenv('LOG_LEVEL', 'INFO')
log_level_dict = {
    'DEBUG': logging.DEBUG,
    'INFO': logging.INFO,
    'WARNING': logging.WARNING,
    'ERROR': logging.ERROR,
    'CRITICAL': logging.CRITICAL
}
if log_level_env in log_level_dict:
    log_level = log_level_dict[log_level_env]
else:
    log_level = log_level_dict['INFO']
LOGGER.setLevel(log_level)


class Text2Video:
    """A class to generate videos from text prompts."""

    def __init__(self) -> None:
        """
        Initialize the Text2Video class.

        Args:
            file_path (str): Path to the configuration file.
        """
        self.client = AzureOpenAI()

    def get_image(self, img_prompt: str) -> str:
        """
        Generate an image based on the provided text prompt.

        Args:
            img_prompt (str): Text prompt for generating the image.

        Returns:
            str: URL of the generated image.
        """
        try:
            # Generate image using Azure OpenAI client
            result = self.client.images.generate(
                model="Dalle3",
                prompt=f"text: ``` {img_prompt}```. add this backticked text in the image as comics.",
                n=1,
                quality="standard",
                size="1792x1024",
                style="vivid"
            )

            # Extract URL from the result
            image_url = json.loads(result.model_dump_json())['data'][0]['url']
            return image_url

        except Exception as e:
            # Log any errors encountered during image generation
            LOGGER.error(f"Error generating image: {e}")
            return ""

    def download_img_from_url(self, image_url: str, image_path: str) -> str:
        """
        Download an image from a URL.

        Args:
            image_url (str): URL of the image to download.
            image_path (str): Path to save the downloaded image.

        Returns:
            str: Path of the downloaded image.
        """
        try:
            # Download the image from the provided URL and save it to the specified path
            urllib.request.urlretrieve(image_url, image_path)
            return image_path # Return the path of the downloaded image if successful

        except Exception as e:
            # Log any errors encountered during image download
            LOGGER.error(f"Error downloading image from URL: {e}")
            return ""   # Return an empty string if an error occurs

    def text_to_audio(self, img_prompt: str, audio_path: str) -> str:
        """
        Convert text to speech and save it as an audio file.

        Args:
            img_prompt (str): Text to convert to speech.
            audio_path (str): Path to save the audio file.

        Returns:
            str: Path of the saved audio file.
        """
        try:
            language = 'en'

            # Create a gTTS object to convert text to speech
            myobj = gTTS(text=img_prompt, lang=language, slow=False)

            # Save the audio file at the specified path
            myobj.save(audio_path)

            # Return the path of the saved audio file if successful
            return audio_path
        except Exception as e:

            # Log any errors encountered during text-to-audio conversion
            LOGGER.error(f"Error converting text to audio: {e}")
            return ""

    def get_images_and_audio(self, list_prompts: list) -> tuple:
        """
        Generate images and corresponding audio files from a list of prompts.

        Args:
            list_prompts (list): List of text prompts.

        Returns:
            tuple: A tuple containing lists of image paths and audio paths.
        """
        img_list = []              # Initialize an empty list to store image paths
        audio_paths = []           # Initialize an empty list to store audio paths
        for img_prompt in list_prompts:
            try:
                # Generate a unique identifier for this file
                unique_id = uuid.uuid4().hex

                # Construct the image path using the unique identifier
                image_path = f"{img_prompt[:9]}_{unique_id}.png"

                # Generate image URL based on the prompt
                img_url = self.get_image(img_prompt)

                # Download and save the image
                image = self.download_img_from_url(img_url, image_path)

                # Add the image path to the list
                img_list.append(image)

                # Construct the audio path using the unique identifier
                audio_path = f"{img_prompt[:9]}_{unique_id}.mp3"

                # Convert text to audio and save it
                audio = self.text_to_audio(img_prompt, audio_path)

                # Add the audio path to the list
                audio_paths.append(audio)

            except Exception as e:
                LOGGER.error(f"Error processing prompt: {img_prompt}, {e}")

        # Return lists of image paths and audio paths as a tuple
        return img_list, audio_paths

    def create_video_from_images_and_audio(self, image_files: list, audio_files: list, output_path: str) -> None:
        """
        Create a video from images and corresponding audio files.

        Args:
            image_files (list): List of image files.
            audio_files (list): List of audio files.
            output_path (str): Path to save the output video file.
        """
        try:
            # Check if the number of images matches the number of audio files
            if len(image_files) != len(audio_files):
                LOGGER.error("Error: Number of images doesn't match the number of audio files.")
                return

            # Initialize an empty list to store video clips
            video_clips = []


            for image_file, audio_file in zip(image_files, audio_files):

                # Read the image frame
                frame = cv2.imread(image_file)

                # Load the audio clip
                audio_clip = mp.AudioFileClip(audio_file)

                # Create video clip with image
                video_clip = mp.ImageClip(image_file).set_duration(audio_clip.duration)

                # Set audio for the video clip
                video_clip = video_clip.set_audio(audio_clip)

                # Append the video clip to the list
                video_clips.append(video_clip)

            # Concatenate all video clips into a single clip
            final_clip = mp.concatenate_videoclips(video_clips)

            # Write the final video to the output path
            final_clip.write_videofile(output_path, codec='libx264', fps=24)
            print("Video created successfully.")

        except Exception as e:
            # Log any errors encountered during video creation
            LOGGER.error(f"Error creating video: {e}")

    def generate_video(self, text: list) -> None:
        """
        Generate a video from a list of text prompts.

        Args:
            list_prompts (list): List of text prompts.
        """
        try:
            list_prompts = [sentence.strip() for sentence in text.split(",,") if sentence.strip()]

            # Set the output path for the generated video
            output_path = "output_video1.mp4"

            # Generate images and corresponding audio files
            img_list, audio_paths = self.get_images_and_audio(list_prompts)

            # Create video from images and audio
            self.create_video_from_images_and_audio(img_list, audio_paths, output_path)

            return output_path
        except Exception as e:

            # Log any errors encountered during video generation
            LOGGER.error(f"Error generating video: {e}")

    def gradio_interface(self):

        with gr.Blocks(css ="style.css", theme='abidlabs/dracula_revamped') as demo:
          example_txt = """once upon a time there was a village. It was a nice place to live, except for one thing. people did not like to share.,, One day a visitor came to town. 
          'Hello. Does anybody have food to share?' He asked. 'No', said everyone.,,
          That's okay', said the visitor. 'I will make stone soup for everyone'.Then he took a stone and dropped it into a giant pot,,"""

          gr.HTML("""
                <center><h1 style="color:#fff">Comics Video Generator</h1></center>""")

          with gr.Row(elem_id = "col-container"):
              input_text = gr.Textbox(label="Comics Text",placeholder="Enter the comics by double comma separated")

          with gr.Row(elem_id = "col-container"):
              button = gr.Button("Generate Video")

          with gr.Row(elem_id = "col-container"):
              output = gr.PlayableVideo()


          with gr.Row(elem_id = "col-container"):
              example = gr.Examples([example_txt], input_text)

          button.click(self.generate_video,[input_text],output)
          demo.launch(debug =True)

if __name__ == "__main__":
    text2video = Text2Video()
    text2video.gradio_interface()