Create describe.py

describe.py

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+import gradio as gr
+import torch
+from torchvision import transforms
+from PIL import Image
+import requests
+from diffusers import StableDiffusionPipeline
+
+# Load models using diffusers
+general_model = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4")
+anime_model = StableDiffusionPipeline.from_pretrained("hakurei/waifu-diffusion")
+
+# Placeholder functions for the actual implementations
+def check_anime_image(image):
+    # Use SauceNAO or similar service to check if the image is anime
+    # and fetch similar images and tags
+    return False, [], []
+
+def describe_image_general(image):
+    # Use the general model to describe the image
+    description = general_model(image)
+    return description
+
+def describe_image_anime(image):
+    # Use the anime model to describe the image
+    description = anime_model(image)
+    return description
+
+def merge_tags(tags1, tags2):
+    # Merge tags, removing duplicates
+    return list(set(tags1 + tags2))
+
+# Gradio app functions
+def process_image(image, mode):
+    # Convert the image to a format suitable for the models
+    transform = transforms.Compose([
+        transforms.Resize((256, 256)),
+        transforms.ToTensor()
+    ])
+    image = transform(image).unsqueeze(0)
+
+    if mode == "Anime":
+        is_anime, similar_images, original_tags = check_anime_image(image)
+        if is_anime:
+            tags = describe_image_anime(image)
+            return tags, original_tags
+        else:
+            return ["Not an anime image"], []
+    else:
+        tags = describe_image_general(image)
+        return tags, []
+
+def describe(image, mode):
+    tags, original_tags = process_image(image, mode)
+    return gr.update(value="\n".join(tags)), gr.update(value="\n".join(original_tags))
+
+def merge(tags, original_tags):
+    merged_tags = merge_tags(tags.split("\n"), original_tags.split("\n"))
+    return "\n".join(merged_tags)
+
+# Gradio interface
+with gr.Blocks() as demo:
+    with gr.Row():
+        image_input = gr.Image(type="pil", tool="editor", label="Upload/Paste Image")
+        mode = gr.Dropdown(choices=["Anime", "General"], label="Mode")
+    
+    describe_button = gr.Button("Describe")
+    merge_button = gr.Button("Merge Tags")
+    
+    with gr.TabGroup() as tab_group:
+        with gr.TabItem("Described Tags"):
+            described_tags = gr.TextArea(label="Described Tags")
+        with gr.TabItem("Original Tags"):
+            original_tags = gr.TextArea(label="Original Tags")
+    
+    merged_tags = gr.TextArea(label="Merged Tags")
+    
+    describe_button.click(describe, inputs=[image_input, mode], outputs=[described_tags, original_tags])
+    merge_button.click(merge, inputs=[described_tags, original_tags], outputs=merged_tags)
+
+demo.launch()