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import gradio as gr
import cv2
import numpy as np
import os
from moviepy.editor import ImageSequenceClip
def generate_video(photo, audio):
# Save temporary files
photo_path = "user_photo.jpg"
audio_path = "user_audio.wav"
cv2.imwrite(photo_path, photo)
audio.write_audiofile(audio_path)
# Create simple talking animation (face stays static)
frames = []
for i in range(30): # 1 second video at 30fps
frame = photo.copy()
# Add simple mouth movement (sin wave)
y_offset = int(10 * np.sin(i/3))
cv2.rectangle(frame,
(100, 150 + y_offset),
(200, 250 - y_offset),
(0, 0, 0), -1)
frames.append(frame)
# Save video
video_path = "output.mp4"
clip = ImageSequenceClip([cv2.cvtColor(f, cv2.COLOR_BGR2RGB) for f in frames],
fps=30)
clip.write_videofile(video_path, codec="libx264", audio=audio_path)
return video_path
# Gradio Interface
with gr.Blocks() as demo:
gr.Markdown("## 🎥 Video Resume Generator")
with gr.Row():
photo_input = gr.Image(label="Upload Your Photo", type="numpy")
audio_input = gr.Audio(label="Record/Upload Audio", type="filepath")
generate_btn = gr.Button("Generate Video")
video_output = gr.Video(label="Result")
generate_btn.click(
fn=generate_video,
inputs=[photo_input, audio_input],
outputs=video_output
)
demo.launch() |