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Update app.py
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app.py
CHANGED
@@ -14,11 +14,20 @@ import requests
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from datetime import datetime
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import tempfile
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import time
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import
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# API token setup
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api_token = os.getenv("RAPI_TOKEN")
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# Aspect ratio options
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ASPECT_RATIOS = {
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@@ -35,63 +44,89 @@ ASPECT_RATIOS = {
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DEFAULT_TEXT_PROMPT = ""
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DEFAULT_IMAGE_PROMPT = "Generate a video with smooth and natural movement. Objects should have visible motion while maintaining fluid transitions."
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def
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"""Add watermark to video using
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try:
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#
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# Get video
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#
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# Create text clip for watermark
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watermark = TextClip(
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watermark_text,
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fontsize=font_size,
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color='white',
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font='Arial',
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stroke_color='black',
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stroke_width=1,
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method='caption',
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size=(None, None)
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)
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#
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#
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return True
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except Exception as e:
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print(f"Watermark error: {str(e)}")
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import shutil
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shutil.copy2(input_video_path, output_video_path)
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return False
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def update_prompt_placeholder(mode):
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"""Update prompt placeholder based on mode"""
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@@ -263,33 +298,35 @@ def generate_video(mode, prompt, image, aspect_ratio, seed, api_key_input, progr
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tmp_file.write(video_data)
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temp_video_path = tmp_file.name
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#
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file.write(watermarked_data)
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else:
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# Fallback if watermarking failed
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with open("output.mp4", "wb") as file:
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file.write(video_data)
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final_video_path = temp_video_path
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# Clean up temp
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if temp_video_path != final_video_path and os.path.exists(temp_video_path):
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-
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progress(1.0, desc="Complete!")
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# Generation info
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info = f"""β
Video generated successfully!
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π Generation Info:
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- Seed: {seed}
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- Duration: 5 seconds
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- Resolution: 480p
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- Watermark: {
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- File: output.mp4"""
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return final_video_path, info
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@@ -376,11 +413,12 @@ with gr.Blocks(title="Bytedance Seedance Video Free", theme=gr.themes.Soft()) as
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# Fixed settings display
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### π Fixed Settings
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- **Duration**: 5 seconds
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- **Resolution**: 480p
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- **Watermark**:
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""")
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with gr.Column(scale=2):
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@@ -414,15 +452,20 @@ with gr.Blocks(title="Bytedance Seedance Video Free", theme=gr.themes.Soft()) as
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1. **Install required packages**:
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```bash
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pip install gradio replicate pillow requests
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```
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-
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```bash
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export RAPI_TOKEN="your-replicate-api-token"
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```
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```bash
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python app.py
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```
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@@ -433,7 +476,7 @@ with gr.Blocks(title="Bytedance Seedance Video Free", theme=gr.themes.Soft()) as
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- **Image to Video**: Transform uploaded image into animated video
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- **Aspect Ratios**: Choose ratios optimized for various social media platforms
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- **Seed Value**: Use same seed to reproduce identical results
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- **Watermark**: Automatically adds "ginigen.com" watermark
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### Prompt Writing Tips
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@@ -447,7 +490,7 @@ with gr.Blocks(title="Bytedance Seedance Video Free", theme=gr.themes.Soft()) as
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- **Timeout errors**: The model might be cold starting. Wait 1-2 minutes and try again.
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- **Model booting**: First requests after inactivity may take longer as the model boots up.
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- **Extended wait times**: Complex prompts or server load may cause longer generation times.
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- **Watermark
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""")
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# Examples
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from datetime import datetime
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import tempfile
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import time
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# Try to import video processing libraries
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try:
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import cv2
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import numpy as np
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VIDEO_PROCESSING_AVAILABLE = True
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except ImportError:
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VIDEO_PROCESSING_AVAILABLE = False
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print("Warning: cv2 not available. Watermark feature will be disabled.")
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# API token setup
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api_token = os.getenv("RAPI_TOKEN")
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if api_token:
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os.environ["REPLICATE_API_TOKEN"] = api_token
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# Aspect ratio options
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ASPECT_RATIOS = {
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DEFAULT_TEXT_PROMPT = ""
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DEFAULT_IMAGE_PROMPT = "Generate a video with smooth and natural movement. Objects should have visible motion while maintaining fluid transitions."
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def add_watermark_cv2(input_video_path, output_video_path):
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"""Add watermark to video using OpenCV"""
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if not VIDEO_PROCESSING_AVAILABLE:
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return False
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try:
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# Open the video
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cap = cv2.VideoCapture(input_video_path)
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# Get video properties
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fps = int(cap.get(cv2.CAP_PROP_FPS))
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width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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# Define codec and create VideoWriter
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fourcc = cv2.VideoWriter_fourcc(*'mp4v')
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out = cv2.VideoWriter(output_video_path, fourcc, fps, (width, height))
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# Watermark settings
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watermark_text = "ginigen.com"
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font = cv2.FONT_HERSHEY_SIMPLEX
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font_scale = max(0.4, height * 0.001) # Scale based on video height
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font_thickness = max(1, int(height * 0.002))
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# Get text size
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(text_width, text_height), baseline = cv2.getTextSize(watermark_text, font, font_scale, font_thickness)
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# Position (bottom right with padding)
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padding = int(width * 0.02)
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x = width - text_width - padding
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y = height - padding
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# Process each frame
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while True:
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ret, frame = cap.read()
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if not ret:
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break
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# Add semi-transparent background for text
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overlay = frame.copy()
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cv2.rectangle(overlay,
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(x - 5, y - text_height - 5),
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(x + text_width + 5, y + 5),
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(0, 0, 0),
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-1)
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frame = cv2.addWeighted(frame, 0.7, overlay, 0.3, 0)
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# Add text
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cv2.putText(frame, watermark_text, (x, y), font, font_scale, (255, 255, 255), font_thickness, cv2.LINE_AA)
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# Write frame
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out.write(frame)
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# Release everything
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cap.release()
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out.release()
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cv2.destroyAllWindows()
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return True
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except Exception as e:
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print(f"Watermark error: {str(e)}")
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return False
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def add_watermark_simple(input_video_path, output_video_path):
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"""Simple fallback - just copy the video without watermark"""
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import shutil
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shutil.copy2(input_video_path, output_video_path)
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return False
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except Exception as e:
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print(f"Copy error: {str(e)}")
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return False
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def add_watermark(input_video_path, output_video_path):
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"""Add watermark to video - tries cv2 first, then fallback"""
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if VIDEO_PROCESSING_AVAILABLE:
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success = add_watermark_cv2(input_video_path, output_video_path)
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if success:
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return True
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# Fallback - just copy without watermark
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return add_watermark_simple(input_video_path, output_video_path)
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def update_prompt_placeholder(mode):
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"""Update prompt placeholder based on mode"""
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tmp_file.write(video_data)
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temp_video_path = tmp_file.name
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# Try to add watermark
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watermark_added = False
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final_video_path = temp_video_path
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if VIDEO_PROCESSING_AVAILABLE:
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progress(0.8, desc="Adding watermark...")
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final_video_path = tempfile.mktemp(suffix='.mp4')
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watermark_added = add_watermark(temp_video_path, final_video_path)
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if not watermark_added or not os.path.exists(final_video_path):
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final_video_path = temp_video_path
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# Save final video
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with open(final_video_path, "rb") as f:
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final_video_data = f.read()
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with open("output.mp4", "wb") as file:
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file.write(final_video_data)
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# Clean up temp files
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if temp_video_path != final_video_path and os.path.exists(temp_video_path):
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try:
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os.unlink(temp_video_path)
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except:
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pass
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progress(1.0, desc="Complete!")
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# Generation info
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watermark_status = "Added" if watermark_added else "Not available (cv2 not installed)" if not VIDEO_PROCESSING_AVAILABLE else "Failed"
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info = f"""β
Video generated successfully!
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π Generation Info:
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- Seed: {seed}
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- Duration: 5 seconds
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- Resolution: 480p
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- Watermark: {watermark_status}
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- File: output.mp4"""
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return final_video_path, info
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)
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# Fixed settings display
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watermark_info = "ginigen.com" if VIDEO_PROCESSING_AVAILABLE else "ginigen.com (requires cv2)"
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gr.Markdown(f"""
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### π Fixed Settings
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- **Duration**: 5 seconds
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- **Resolution**: 480p
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- **Watermark**: {watermark_info}
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""")
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with gr.Column(scale=2):
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1. **Install required packages**:
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```bash
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pip install gradio replicate pillow requests
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```
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2. **For watermark support (optional)**:
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```bash
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pip install opencv-python
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```
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3. **Set environment variable** (optional):
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```bash
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export RAPI_TOKEN="your-replicate-api-token"
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```
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4. **Run**:
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```bash
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python app.py
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```
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- **Image to Video**: Transform uploaded image into animated video
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- **Aspect Ratios**: Choose ratios optimized for various social media platforms
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- **Seed Value**: Use same seed to reproduce identical results
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- **Watermark**: Automatically adds "ginigen.com" watermark (requires opencv-python)
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### Prompt Writing Tips
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- **Timeout errors**: The model might be cold starting. Wait 1-2 minutes and try again.
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- **Model booting**: First requests after inactivity may take longer as the model boots up.
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- **Extended wait times**: Complex prompts or server load may cause longer generation times.
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- **Watermark not showing**: Install opencv-python for watermark support.
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""")
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# Examples
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