import gradio as gr
import requests
import base64
from moviepy.editor import *
from datetime import datetime
import tempfile

ELEVENLABS_API_KEY = "YOUR_API_KEY_HERE"
VOICE_ID = "EXAVITQu4vr4xnSDxMaL"  # Rachel

def generate_voiceover(script):
    url = f"https://api.elevenlabs.io/v1/text-to-speech/{VOICE_ID}"
    headers = {
        "xi-api-key": sk_2b6737d21819816d70cf165384cfd5b2d4a44e49c8f8ffb8Y,
        "Content-Type": "application/json"
    }
    payload = {
        "text": script,
        "model_id": "eleven_monolingual_v1",
        "voice_settings": {"stability": 0.4, "similarity_boost": 0.9}
    }
    response = requests.post(url, headers=headers, json=payload)
    if response.status_code == 200:
        with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as f:
            f.write(response.content)
            return f.name
    else:
        raise Exception("Failed to generate voiceover.")

def create_video_with_audio(code_text, voiceover_path):
    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as out:
        image_path = "/usr/share/icons/gnome/256x256/apps/utilities-terminal.png"
        clip = ImageClip(image_path, duration=10).resize(width=720)
        audio = AudioFileClip(voiceover_path).subclip(0, clip.duration)
        final = clip.set_audio(audio)
        final.write_videofile(out.name, fps=24)
        return out.name

def main(code_input):
    script = f"This is a short explanation of the following code: {code_input[:300]}..."
    voiceover_file = generate_voiceover(script)
    video_path = create_video_with_audio(code_input, voiceover_file)
    return video_path

demo = gr.Interface(fn=main, inputs=gr.Textbox(lines=15, label="Paste Your Code"),
                    outputs=gr.Video(label="Generated Video with Voiceover"),
                    title="AI Code to Video Bot")

demo.launch()