movie.py

import openai

from dalle_pytorch import dalle_v2
import io
import os
from google.cloud import texttospeech
from google.oauth2 import service_account
from moviepy.editor import *

def generate_movie(topic):
    prompt = f"Create a movie script and image descriptions with the topic: {topic}. Use the format 'SCENE: <scene_description> IMAGE: <image_description>' for each scene."

    response = openai.Completion.create(
        engine="davinci-codex",
        prompt=prompt,
        max_tokens=2048,
        n=1,
        stop=None,
        temperature=0.7,
    )

    text = response.choices[0].text.strip()
    scenes = [{"scene": s.split(" IMAGE: ")[0].strip(), "image": s.split(" IMAGE: ")[1].strip()} for s in text.split("SCENE: ")[1:]]

    # TODO: Initialize DALLE-2, Google Text-to-Speech and MoviePy

    movie_clips = []

    for scene in scenes:
        # TODO: Generate image with DALLE-2 using scene['image'] as prompt
        generated_image = generate_image_with_dalle(scene['image'])

        # TODO: Generate voice with Google Text-to-Speech using scene['scene'] as input text
        generated_voice = generate_voice_with_google_tts(scene['scene'])

        # TODO: Create an AudioClip using the generated_voice
        audio_clip = create_audio_clip_with_voice(generated_voice)

        # TODO: Create a video slide with the generated_image and audio_clip
        video_slide = create_video_slide(generated_image, audio_clip)

        # Add the video slide to the movie_clips list
        movie_clips.append(video_slide)

    # Concatenate all movie clips
    final_movie = concatenate_videoclips(movie_clips)

    # TODO: Save and return the final movie file
    movie_file = os.path.join("output", f"{topic}_movie.mp4")
    final_movie.write_videofile(movie_file)
    return movie_file


generate_movie("a dolphin befriending an octopus")