app.py

import requests
import json
import time
import subprocess
import gradio as gr
import uuid
import os
from dotenv import load_dotenv

# Load environment variables
load_dotenv()

# API Keys
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
REPLICATE_API_TOKEN = os.getenv("REPLICATE_API_TOKEN")

# URLs
REPLICATE_API_URL = "https://api.replicate.com/v1/predictions"
UPLOAD_URL = os.getenv("UPLOAD_URL")

def get_voices():
    # OpenAI TTS voices
    return [
        ("alloy", "alloy"),
        ("echo", "echo"),
        ("fable", "fable"),
        ("onyx", "onyx"),
        ("nova", "nova"),
        ("shimmer", "shimmer")
    ]

def text_to_speech(voice, text, session_id):
    url = "https://api.openai.com/v1/audio/speech"

    headers = {
        "Authorization": f"Bearer {OPENAI_API_KEY}",
        "Content-Type": "application/json"
    }

    data = {
        "model": "tts-1",
        "input": text,
        "voice": voice
    }

    response = requests.post(url, json=data, headers=headers)
    if response.status_code != 200:
        return None

    # Save temporary audio file with session ID
    audio_file_path = f'tempvoice{session_id}.mp3'
    with open(audio_file_path, 'wb') as audio_file:
        audio_file.write(response.content)
    return audio_file_path

def upload_file(file_path):
    with open(file_path, 'rb') as file:
        files = {'fileToUpload': (os.path.basename(file_path), file)}
        data = {'reqtype': 'fileupload'}
        response = requests.post(UPLOAD_URL, files=files, data=data)

    if response.status_code == 200:
        return response.text.strip()
    return None

def lipsync_api_call(video_url, audio_url):
    headers = {
        "Authorization": f"Bearer {REPLICATE_API_TOKEN}",
        "Content-Type": "application/json",
        "Prefer": "wait"
    }

    data = {
        "version": "db5a650c807b007dc5f9e5abe27c53e1b62880d1f94d218d27ce7fa802711d67",
        "input": {
            "face": video_url,
            "input_audio": audio_url
        }
    }

    response = requests.post(REPLICATE_API_URL, headers=headers, json=data)
    return response.json()

def check_job_status(prediction_id):
    headers = {"Authorization": f"Bearer {REPLICATE_API_TOKEN}"}
    max_attempts = 30  # Limit the number of attempts

    for _ in range(max_attempts):
        response = requests.get(f"{REPLICATE_API_URL}/{prediction_id}", headers=headers)
        data = response.json()

        if data["status"] == "succeeded":
            return data["output"]
        elif data["status"] == "failed":
            return None

        time.sleep(10)
    return None

def get_media_duration(file_path):
    # Fetch media duration using ffprobe
    cmd = ['ffprobe', '-v', 'error', '-show_entries', 'format=duration', '-of', 'default=noprint_wrappers=1:nokey=1', file_path]
    result = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    return float(result.stdout.strip())

def combine_audio_video(video_path, audio_path, output_path):
    # Get durations of both video and audio
    video_duration = get_media_duration(video_path)
    audio_duration = get_media_duration(audio_path)

    if video_duration > audio_duration:
        # Trim video to match the audio length
        cmd = [
            'ffmpeg', '-i', video_path, '-i', audio_path,
            '-t', str(audio_duration),  # Trim video to audio duration
            '-map', '0:v', '-map', '1:a',
            '-c:v', 'copy', '-c:a', 'aac',
            '-y', output_path
        ]
    else:
        # Loop video if it's shorter than audio
        loop_count = int(audio_duration // video_duration) + 1  # Calculate how many times to loop
        cmd = [
            'ffmpeg', '-stream_loop', str(loop_count), '-i', video_path, '-i', audio_path,
            '-t', str(audio_duration),  # Match the duration of the final video with the audio
            '-map', '0:v', '-map', '1:a',
            '-c:v', 'copy', '-c:a', 'aac',
            '-shortest', '-y', output_path
        ]

    subprocess.run(cmd, check=True)

def create_video_from_image(image_url, session_id):
    # Download the image
    response = requests.get(image_url)
    image_path = f"tempimage{session_id}.jpg"
    with open(image_path, "wb") as f:
        f.write(response.content)
    
    # Create a 10-second video from the image
    video_path = f"tempvideo{session_id}.mp4"
    cmd = [
        'ffmpeg', '-loop', '1', '-i', image_path,
        '-vf', 'scale=trunc(iw/2)*2:trunc(ih/2)*2',  # Ensure width and height are divisible by 2
        '-c:v', 'libx264', '-t', '10', '-pix_fmt', 'yuv420p',
        video_path
    ]
    subprocess.run(cmd, check=True)
    
    # Clean up the temporary image file
    os.remove(image_path)
    
    return video_path

def process_video(voice, url, text, progress=gr.Progress()):
    session_id = str(uuid.uuid4())  # Generate a unique session ID
    progress(0, desc="Generating speech...")
    audio_path = text_to_speech(voice, text, session_id)
    if not audio_path:
        return None, "Failed to generate speech audio."

    progress(0.2, desc="Processing media...")

    try:
        # Check if the URL is an image
        response = requests.head(url)
        content_type = response.headers.get('Content-Type', '')
        
        if content_type.startswith('image'):
            progress(0.3, desc="Converting image to video...")
            video_path = create_video_from_image(url, session_id)
            video_url = upload_file(video_path)
        else:
            video_url = url

        progress(0.4, desc="Uploading audio...")
        audio_url = upload_file(audio_path)

        if not audio_url or not video_url:
            raise Exception("Failed to upload audio or video file")

        progress(0.5, desc="Initiating lipsync...")
        job_data = lipsync_api_call(video_url, audio_url)

        if "error" in job_data:
            raise Exception(job_data.get("error", "Unknown error"))

        prediction_id = job_data["id"]

        progress(0.6, desc="Processing lipsync...")
        result_url = check_job_status(prediction_id)

        if result_url:
            progress(0.9, desc="Downloading result...")
            response = requests.get(result_url)
            output_path = f"output{session_id}.mp4"
            with open(output_path, "wb") as f:
                f.write(response.content)
            progress(1.0, desc="Complete!")
            return output_path, "Lipsync completed successfully!"
        else:
            raise Exception("Lipsync processing failed or timed out")

    except Exception as e:
        progress(0.8, desc="Falling back to simple combination...")
        try:
            if 'video_path' not in locals():
                # Download the video from the URL if it wasn't created from an image
                video_response = requests.get(video_url)
                video_path = f"tempvideo{session_id}.mp4"
                with open(video_path, "wb") as f:
                    f.write(video_response.content)

            output_path = f"output{session_id}.mp4"
            combine_audio_video(video_path, audio_path, output_path)
            progress(1.0, desc="Complete!")
            return output_path, f"Used fallback method. Original error: {str(e)}"
        except Exception as fallback_error:
            return None, f"All methods failed. Error: {str(fallback_error)}"
    finally:
        # Cleanup
        if os.path.exists(audio_path):
            os.remove(audio_path)
        if os.path.exists(f"tempvideo{session_id}.mp4"):
            os.remove(f"tempvideo{session_id}.mp4")

def create_interface():
    voices = get_voices()
    
    with gr.Blocks() as app:
        gr.Markdown("# Generator")
        with gr.Row():
            with gr.Column():
                voice_dropdown = gr.Dropdown(choices=[v[0] for v in voices], label="Select Voice", value=voices[0][0] if voices else None)
                url_input = gr.Textbox(label="Enter Video or Image URL")
                text_input = gr.Textbox(label="Enter text", lines=3)
                generate_btn = gr.Button("Generate Video")
            with gr.Column():
                video_output = gr.Video(label="Generated Video")
                status_output = gr.Textbox(label="Status", interactive=False)
        def on_generate(voice_name, url, text):
            voice_id = next((v[1] for v in voices if v[0] == voice_name), None)
            if not voice_id:
                return None, "Invalid voice selected."
            return process_video(voice_id, url, text)
        generate_btn.click(
            fn=on_generate,
            inputs=[voice_dropdown, url_input, text_input],
            outputs=[video_output, status_output]
        )
    return app

if __name__ == "__main__":
    app = create_interface()
    app.launch()