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import os
import requests
import json
import time
import subprocess
import gradio as gr
import uuid
from dotenv import load_dotenv
from urllib.parse import urlparse
# Load environment variables
load_dotenv()
# API Keys
B_KEY = os.getenv("B_KEY")
# URLs
API_URL = "https://api.sync.so/v2/generate"
def get_media_resolution(url):
print(f"\n[DEBUG] Getting resolution for: {url}")
# Download the file to a temporary location
response = requests.get(url)
if response.status_code != 200:
print(f"[ERROR] Failed to download media. Status code: {response.status_code}")
return None
temp_path = f"temp_media_{uuid.uuid4()}"
with open(temp_path, 'wb') as f:
f.write(response.content)
# Get resolution using FFprobe
cmd = [
'ffprobe',
'-v', 'error',
'-select_streams', 'v:0',
'-show_entries', 'stream=width,height',
'-of', 'json',
temp_path
]
try:
result = subprocess.run(cmd, capture_output=True, text=True)
os.remove(temp_path) # Clean up temp file
if result.returncode == 0:
data = json.loads(result.stdout)
if 'streams' in data and data['streams']:
width = data['streams'][0].get('width')
height = data['streams'][0].get('height')
if width and height:
print(f"[DEBUG] Detected resolution: {width}x{height}")
return [width, height]
except Exception as e:
print(f"[ERROR] Failed to get resolution: {str(e)}")
if os.path.exists(temp_path):
os.remove(temp_path)
print("[DEBUG] Failed to detect resolution, using default")
return [1280, 720] # Default resolution
def lipsync_api_call(video_url, audio_url):
print(f"\n[DEBUG] Starting lipsync_api_call")
print(f"[DEBUG] Video URL: {video_url}")
print(f"[DEBUG] Audio URL: {audio_url}")
# Get the resolution of the input video/image
resolution = get_media_resolution(video_url)
headers = {
"Content-Type": "application/json",
"x-api-key": B_KEY
}
data = {
"model": "lipsync-1.8.0-beta",
"input": [
{
"type": "video",
"url": video_url
},
{
"type": "audio",
"url": audio_url
}
],
"options": {
"pads": [0, 5, 0, 0],
"speedup": 1,
"output_format": "mp4",
"sync_mode": "bounce",
"fps": 24,
"output_resolution": resolution
}
}
print(f"[DEBUG] Request payload: {json.dumps(data, indent=2)}")
try:
response = requests.post(API_URL, headers=headers, data=json.dumps(data))
print(f"[DEBUG] API Response status code: {response.status_code}")
print(f"[DEBUG] API Response: {response.text}")
return response.json()
except Exception as e:
print(f"[ERROR] API call failed: {str(e)}")
raise
def check_job_status(job_id):
print(f"\n[DEBUG] Checking job status for ID: {job_id}")
headers = {"x-api-key": B_KEY}
max_attempts = 3000
attempt = 0
while attempt < max_attempts:
try:
response = requests.get(f"{API_URL}/{job_id}", headers=headers)
print(f"[DEBUG] Status check attempt {attempt + 1}")
print(f"[DEBUG] Status response: {response.text}")
data = response.json()
status = data.get("status")
print(f"[DEBUG] Current status: {status}")
if status == "COMPLETED":
print(f"[DEBUG] Job completed. Output URL: {data.get('outputUrl')}")
return data.get("outputUrl")
elif status == "FAILED" or status == "CANCELED":
print(f"[ERROR] Job failed or was canceled. Error: {data.get('error')}")
return None
attempt += 1
time.sleep(10)
except Exception as e:
print(f"[ERROR] Status check failed: {str(e)}")
return None
print("[ERROR] Max attempts reached")
return None
def get_media_duration(file_path):
print(f"\n[DEBUG] Getting duration for: {file_path}")
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)
duration = float(result.stdout.strip())
print(f"[DEBUG] Media duration: {duration} seconds")
return duration
def combine_audio_video(video_path, audio_path, output_path):
print(f"\n[DEBUG] Combining audio and video")
print(f"[DEBUG] Video path: {video_path}")
print(f"[DEBUG] Audio path: {audio_path}")
print(f"[DEBUG] Output path: {output_path}")
video_duration = get_media_duration(video_path)
audio_duration = get_media_duration(audio_path)
if video_duration > audio_duration:
print("[DEBUG] Video longer than audio - trimming video")
cmd = [
'ffmpeg', '-i', video_path, '-i', audio_path,
'-t', str(audio_duration),
'-map', '0:v', '-map', '1:a',
'-c:v', 'copy', '-c:a', 'aac',
'-y', output_path
]
else:
print("[DEBUG] Audio longer than video - looping video")
loop_count = int(audio_duration // video_duration) + 1
cmd = [
'ffmpeg', '-stream_loop', str(loop_count), '-i', video_path, '-i', audio_path,
'-t', str(audio_duration),
'-map', '0:v', '-map', '1:a',
'-c:v', 'copy', '-c:a', 'aac',
'-shortest', '-y', output_path
]
print(f"[DEBUG] FFmpeg command: {' '.join(cmd)}")
result = subprocess.run(cmd, capture_output=True, text=True)
print(f"[DEBUG] FFmpeg stdout: {result.stdout}")
print(f"[DEBUG] FFmpeg stderr: {result.stderr}")
def is_image_url(url):
parsed = urlparse(url)
path = parsed.path.lower()
result = path.endswith(('.png', '.jpg', '.jpeg', '.gif', '.bmp', '.tiff', '.webp', '.heic', '.svg', '.ico'))
print(f"\n[DEBUG] Checking if URL is image: {url}")
print(f"[DEBUG] Result: {result}")
return result
def create_video_from_image(image_url, output_path, duration=10):
print(f"\n[DEBUG] Creating video from image")
print(f"[DEBUG] Image URL: {image_url}")
print(f"[DEBUG] Output path: {output_path}")
# Get the resolution before creating the video
resolution = get_media_resolution(image_url)
response = requests.get(image_url)
if response.status_code != 200:
print(f"[ERROR] Failed to download image. Status code: {response.status_code}")
raise Exception("Failed to download the image")
temp_image_path = f"temp_image_{uuid.uuid4()}.jpg"
print(f"[DEBUG] Temporary image path: {temp_image_path}")
with open(temp_image_path, 'wb') as f:
f.write(response.content)
cmd = [
'ffmpeg', '-loop', '1', '-i', temp_image_path,
'-c:v', 'libx264', '-t', str(duration), '-pix_fmt', 'yuv420p',
'-vf', f'scale={resolution[0]}:{resolution[1]}',
'-y', output_path
]
print(f"[DEBUG] FFmpeg command: {' '.join(cmd)}")
result = subprocess.run(cmd, capture_output=True, text=True)
print(f"[DEBUG] FFmpeg stdout: {result.stdout}")
print(f"[DEBUG] FFmpeg stderr: {result.stderr}")
os.remove(temp_image_path)
print(f"[DEBUG] Temporary image removed")
return output_path
def upload_file(file_path):
print(f"\n[DEBUG] Uploading file: {file_path}")
with open(file_path, 'rb') as file:
files = {'fileToUpload': (os.path.basename(file_path), file)}
data = {'reqtype': 'fileupload'}
try:
response = requests.post(UPLOAD_URL, files=files, data=data)
print(f"[DEBUG] Upload response status code: {response.status_code}")
print(f"[DEBUG] Upload response: {response.text}")
if response.status_code == 200:
return response.text.strip()
return None
except Exception as e:
print(f"[ERROR] File upload failed: {str(e)}")
return None
def process_video(video_url, audio_url, progress=gr.Progress()):
print(f"\n[DEBUG] Starting video processing")
print(f"[DEBUG] Video URL: {video_url}")
print(f"[DEBUG] Audio URL: {audio_url}")
if not audio_url:
print("[ERROR] No audio URL provided")
return None, "No audio URL provided"
if not video_url:
print("[ERROR] No video URL provided")
return None, "No video URL provided"
session_id = str(uuid.uuid4())
print(f"[DEBUG] Session ID: {session_id}")
progress(0.2, desc="Processing media...")
try:
if is_image_url(video_url):
progress(0.3, desc="Converting image to video...")
video_path = f"temp_video_{session_id}.mp4"
create_video_from_image(video_url, video_path)
progress(0.4, desc="Uploading converted video...")
video_url = upload_file(video_path)
if not video_url:
raise Exception("Failed to upload converted video")
os.remove(video_path)
progress(0.5, desc="Initiating lipsync...")
job_data = lipsync_api_call(video_url, audio_url)
# Check if we have a valid job ID
if "id" not in job_data:
print("[ERROR] No job ID in response")
raise Exception("No job ID received from API")
# Only treat as error if error field has actual error message
if job_data.get("error") not in [None, ""]:
error_msg = job_data["error"]
print(f"[ERROR] API error: {error_msg}")
raise Exception(error_msg)
job_id = job_data["id"]
print(f"[DEBUG] Job ID: {job_id}")
progress(0.6, desc="Processing lipsync...")
result_url = check_job_status(job_id)
if result_url:
progress(0.9, desc="Downloading result...")
print(f"[DEBUG] Downloading from: {result_url}")
response = requests.get(result_url)
output_path = f"output_{session_id}.mp4"
with open(output_path, "wb") as f:
f.write(response.content)
print(f"[DEBUG] Result saved to: {output_path}")
progress(1.0, desc="Complete!")
return output_path, "Lipsync completed successfully!"
else:
raise Exception("Lipsync processing failed or timed out")
except Exception as e:
print(f"[ERROR] Main process failed: {str(e)}")
progress(0.8, desc="Falling back to simple combination...")
try:
print("[DEBUG] Attempting fallback method")
video_response = requests.get(video_url)
temp_video_path = f"temp_video_{session_id}.mp4"
with open(temp_video_path, "wb") as f:
f.write(video_response.content)
audio_response = requests.get(audio_url)
temp_audio_path = f"temp_audio_{session_id}.mp3"
with open(temp_audio_path, "wb") as f:
f.write(audio_response.content)
output_path = f"output_{session_id}.mp4"
combine_audio_video(temp_video_path, temp_audio_path, output_path)
os.remove(temp_video_path)
os.remove(temp_audio_path)
progress(1.0, desc="Complete!")
return output_path, f"Used fallback method. Original error: {str(e)}"
except Exception as fallback_error:
print(f"[ERROR] Fallback method failed: {str(fallback_error)}")
return None, f"All methods failed. Error: {str(fallback_error)}"
def create_interface():
# ํ…Œ๋งˆ์™€ ์Šคํƒ€์ผ ์ •์˜
theme = gr.themes.Soft(
primary_hue="blue",
secondary_hue="gray",
)
css = """
#component-0 > :not(.prose) {display: none !important;}
footer {display: none !important;}
.container {max-width: 1000px; margin: auto;}
.header {text-align: center; margin-bottom: 2rem;}
.input-section {background: #f7f7f7; padding: 2rem; border-radius: 10px;}
.output-section {background: #f0f0f0; padding: 2rem; border-radius: 10px;}
.button-primary {background: #2196F3 !important;}
"""
with gr.Blocks(theme=theme, css=css) as app:
with gr.Column(elem_classes="container"):
# ํ—ค๋” ์„น์…˜
with gr.Column(elem_classes="header"):
gr.Markdown("# ๐ŸŽฌ AI Lipsync Video Generator")
gr.Markdown("Upload a video/image and audio to create a lip-synced video")
# ๋ฉ”์ธ ์ปจํ…์ธ 
with gr.Row(equal_height=True):
# ์ž…๋ ฅ ์„น์…˜
with gr.Column(elem_classes="input-section"):
gr.Markdown("### ๐Ÿ“ฅ Input")
video_url_input = gr.Textbox(
label="Video or Image URL",
placeholder="Enter URL of video or image...",
info="Supported formats: MP4, JPG, PNG, etc."
)
audio_url_input = gr.Textbox(
label="Audio URL",
placeholder="Enter URL of audio file...",
info="Supported formats: MP3, WAV, etc."
)
generate_btn = gr.Button(
"๐Ÿš€ Generate Video",
variant="primary",
elem_classes="button-primary"
)
# ์ถœ๋ ฅ ์„น์…˜
with gr.Column(elem_classes="output-section"):
gr.Markdown("### ๐Ÿ“ค Output")
video_output = gr.Video(
label="Generated Video",
height=400
)
status_output = gr.Textbox(
label="Status",
interactive=False,
placeholder="Processing status will appear here..."
)
# ์„ค๋ช… ์„น์…˜
with gr.Accordion("โ„น๏ธ Instructions", open=False):
gr.Markdown("""
### How to use:
1. Paste the URL of your video or image in the first input box
2. Paste the URL of your audio file in the second input box
3. Click 'Generate Video' and wait for processing
4. The generated video will appear in the output section
### Notes:
- Processing may take several minutes
- For best results, use high-quality input files
- Supported video formats: MP4
- Supported image formats: JPG, PNG
- Supported audio formats: MP3, WAV
""")
generate_btn.click(
fn=process_video,
inputs=[video_url_input, audio_url_input],
outputs=[video_output, status_output]
)
return app
if __name__ == "__main__":
print("[DEBUG] Starting application")
app = create_interface()
app.launch()