Spaces:
Building
Building
import os | |
import subprocess | |
from fastapi import FastAPI, File, UploadFile, HTTPException | |
from fastapi.responses import JSONResponse | |
from fastapi.staticfiles import StaticFiles | |
import uvicorn | |
UPLOAD_FOLDER = 'uploads_gradio' | |
OUTPUT_FOLDER = 'outputs_gradio' | |
# Ensure directories exist | |
os.makedirs(UPLOAD_FOLDER, exist_ok=True) | |
os.makedirs(OUTPUT_FOLDER, exist_ok=True) | |
def animate_image(file_path): | |
""" | |
Process the uploaded image and generate an animated GIF. | |
""" | |
if not file_path: | |
raise ValueError("No file uploaded.") | |
input_path = file_path | |
filename = os.path.basename(input_path) | |
base, ext = os.path.splitext(filename) | |
# Validate extension | |
allowed_extensions = ['.png', '.jpg', '.jpeg', '.bmp'] | |
if ext.lower() not in allowed_extensions: | |
raise ValueError("Unsupported file type. Please upload png, jpg, jpeg, or bmp.") | |
# Create output directory for this specific image | |
char_anno_dir = os.path.join(OUTPUT_FOLDER, f"{base}_out") | |
os.makedirs(char_anno_dir, exist_ok=True) | |
# Run the image_to_animation script | |
try: | |
subprocess.run([ | |
'python', 'examples/image_to_animation.py', | |
input_path, char_anno_dir | |
], check=True) | |
gif_path = os.path.join(char_anno_dir, "video.gif") | |
if not os.path.exists(gif_path): | |
raise FileNotFoundError("Failed to generate animation. Ensure the input image contains clear humanoid drawings.") | |
return gif_path | |
except subprocess.CalledProcessError as e: | |
raise RuntimeError(f"Error during processing: {e}") | |
except Exception as e: | |
raise RuntimeError(f"Unexpected error: {e}") | |
app = FastAPI() | |
# Serve the outputs directory statically so that generated GIFs can be accessed via URL | |
app.mount("/outputs", StaticFiles(directory=OUTPUT_FOLDER), name="outputs") | |
async def animate_endpoint(file: UploadFile = File(...)): | |
try: | |
# Save uploaded file | |
file_path = os.path.join(UPLOAD_FOLDER, file.filename) | |
with open(file_path, "wb") as f: | |
f.write(await file.read()) | |
gif_path = animate_image(file_path) | |
# Construct a URL to the generated GIF | |
relative_gif_dir = os.path.basename(os.path.dirname(gif_path)) | |
gif_filename = os.path.basename(gif_path) | |
gif_url = f"/outputs/{relative_gif_dir}/{gif_filename}" | |
return JSONResponse({"gif_url": gif_url}) | |
except ValueError as ve: | |
raise HTTPException(status_code=400, detail=str(ve)) | |
except FileNotFoundError as fnfe: | |
raise HTTPException(status_code=404, detail=str(fnfe)) | |
except RuntimeError as re: | |
raise HTTPException(status_code=500, detail=str(re)) | |
except Exception as e: | |
raise HTTPException(status_code=500, detail=f"Unexpected error: {e}") | |
if __name__ == "__main__": | |
# Use the PORT environment variable provided by Hugging Face Spaces | |
port = int(os.getenv("PORT", "7860")) | |
uvicorn.run(app, host="0.0.0.0", port=port) |