Codeassitant / app.py
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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()