Qurn/Image-Exif-Parser
1
1import gradio as gr2import piexif3import piexif.helper4import json5from PIL import Image6 7IGNORED_INFO_KEYS = {8 'jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'dpi', 'exif',9 'loop', 'background', 'timestamp', 'duration', 'progressive', 'progression',10 'icc_profile', 'chromaticity', 'photoshop',11}12 13def read_info_from_image(image: Image.Image) -> tuple[str |None, dict]:14 if image is None:15 return "Please upload an image.", {} # Return an empty dict instead of None16 17 items = (image.info or {}).copy()18 geninfo = items.pop('parameters', None)19 20 if "exif" in items:21 exif_data = items["exif"]22 try:23 exif = piexif.load(exif_data)24 except OSError:25 exif = None26 exif_comment = (exif or {}).get("Exif", {}).get(piexif.ExifIFD.UserComment, b'')27 try:28 exif_comment = piexif.helper.UserComment.load(exif_comment)29 except ValueError:30 exif_comment = exif_comment.decode('utf8', errors="ignore")31 32 if exif_comment:33 items['exif comment'] = exif_comment34 geninfo = exif_comment35 elif "comment" in items:36 geninfo = items["comment"].decode('utf8', errors="ignore")37 38 for field in IGNORED_INFO_KEYS:39 items.pop(field, None)40 41 if items.get("Software", None) == "NovelAI":42 try:43 json_info = json.loads(items["Comment"])44 sampler = "Euler a" # Removed sd_samplers import45 46 geninfo = f"""{items["Description"]}47 Negative prompt: {json_info["Negative Prompt"]}48 Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""49 except Exception as e:50 print(f"Error parsing NovelAI image generation parameters:")51 52 return geninfo, items53 54with gr.Blocks() as demo:55 gr.Markdown(56 """57 # Image Exif Parser58 [ref webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)\n59 support png jpeg webp image format from images generated by AI tools.60 """61 )62 63 with gr.Row():64 with gr.Column():65 input_image = gr.Image(sources=["upload", "clipboard"], label="Input Image", type="pil", height=680)66 67 with gr.Column():68 # output_metadata = gr.JSON(label="format metadata")69 output_metadata = gr.Textbox(label="format metadata")70 with gr.Accordion(open=True):71 # output_exif = gr.JSON(label="exif comments")72 output_exif = gr.Textbox(label="exif comments")73 74 input_image.change(75 fn=read_info_from_image,76 inputs=input_image,77 outputs=[output_metadata, output_exif],78 )79 80 gr.Examples(81 examples=[82 ["ex/0.png"],83 ["ex/5.jpeg"],84 ["ex/7.webp"],85 ["ex/s.png"],86 ],87 inputs=input_image,88 outputs=[output_metadata, output_exif],89 fn=read_info_from_image,90 cache_examples=False,91 label="Exmaple format: png, jpeg, webp"92 )93 94demo.launch()