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import gradio as gr
from huggingface_hub import ModelCard
from config import Config
def selected_lora_from_gallery(evt: gr.SelectData):
return (
gr.update(
value=evt.index
)
)
def update_selected_lora(custom_lora):
link = custom_lora.split("/")
if len(link) == 2:
model_card = ModelCard.load(custom_lora)
trigger_word = model_card.data.get("instance_prompt", "")
image_url = f"""https://huggingface.co/{custom_lora}/resolve/main/{model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None)}"""
custom_lora_info_css = """
<style>
.custom-lora-info {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif;
background: linear-gradient(135deg, #4a90e2, #7b61ff);
color: white;
padding: 16px;
border-radius: 8px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
margin: 16px 0;
}
.custom-lora-header {
font-size: 18px;
font-weight: 600;
margin-bottom: 12px;
}
.custom-lora-content {
display: flex;
align-items: center;
background-color: rgba(255, 255, 255, 0.1);
border-radius: 6px;
padding: 12px;
}
.custom-lora-image {
width: 80px;
height: 80px;
object-fit: cover;
border-radius: 6px;
margin-right: 16px;
}
.custom-lora-text h3 {
margin: 0 0 8px 0;
font-size: 16px;
font-weight: 600;
}
.custom-lora-text small {
font-size: 14px;
opacity: 0.9;
}
.custom-trigger-word {
background-color: rgba(255, 255, 255, 0.2);
padding: 2px 6px;
border-radius: 4px;
font-weight: 600;
}
</style>
"""
custom_lora_info_html = f"""
<div class="custom-lora-info">
<div class="custom-lora-header">Custom LoRA: {custom_lora}</div>
<div class="custom-lora-content">
<img class="custom-lora-image" src="{image_url}" alt="LoRA preview">
<div class="custom-lora-text">
<h3>{link[1].replace("-", " ").replace("_", " ")}</h3>
<small>{"Using: <span class='custom-trigger-word'>"+trigger_word+"</span> as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}</small>
</div>
</div>
</div>
"""
custom_lora_info_html = f"{custom_lora_info_css}{custom_lora_info_html}"
return (
gr.update( # selected_lora
value=custom_lora,
),
gr.update( # custom_lora_info
value=custom_lora_info_html,
visible=True
)
)
else:
return (
gr.update( # selected_lora
value=custom_lora,
),
gr.update( # custom_lora_info
value=custom_lora_info_html if len(link) == 0 else "",
visible=False
)
)
def update_lora_sliders(enabled_loras):
sliders = []
remove_buttons = []
for lora in enabled_loras:
sliders.append(
gr.update(
label=lora.get("repo_id", ""),
info=f"Trigger Word: {lora.get('trigger_word', '')}",
visible=True,
interactive=True
)
)
remove_buttons.append(
gr.update(
visible=True,
interactive=True
)
)
if len(sliders) < 6:
for i in range(len(sliders), 6):
sliders.append(
gr.update(
visible=False
)
)
remove_buttons.append(
gr.update(
visible=False
)
)
return *sliders, *remove_buttons
def remove_from_enabled_loras(enabled_loras, index):
enabled_loras.pop(index)
return (
gr.update(
value=enabled_loras
)
)
def update_custom_embedding(custom_embedding):
link = custom_embedding.split("/")
if len(link) == 2:
model_card = ModelCard.load(custom_embedding)
trigger_word = model_card.data.get("instance_prompt", "")
image_url = f"""https://huggingface.co/{custom_embedding}/resolve/main/{model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None)}"""
custom_embedding_info_css = """
<style>
.custom-embedding-info {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', sans-serif;
background: linear-gradient(135deg, #4a90e2, #7b61ff);
color: white;
padding: 16px;
border-radius: 8px;
box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
margin: 16px 0;
}
.custom-embedding-header {
font-size: 18px;
font-weight: 600;
margin-bottom: 12px;
}
.custom-embedding-content {
display: flex;
align-items: center;
background-color: rgba(255, 255, 255, 0.1);
border-radius: 6px;
padding: 12px;
}
.custom-embedding-image {
width: 80px;
height: 80px;
object-fit: cover;
border-radius: 6px;
margin-right: 16px;
}
.custom-embedding-text h3 {
margin: 0 0 8px 0;
font-size: 16px;
font-weight: 600;
}
.custom-embedding-text small {
font-size: 14px;
opacity: 0.9;
}
.custom-trigger-word {
background-color: rgba(255, 255, 255, 0.2);
padding: 2px 6px;
border-radius: 4px;
font-weight: 600;
}
</style>
"""
custom_embedding_info_html = f"""
<div class="custom-embedding-info">
<div class="custom-embedding-header">Custom Embed Model: {custom_embedding}</div>
<div class="custom-embedding-content">
<img class="custom-embedding-image" src="{image_url}" alt="Embedding model preview">
<div class="custom-embedding-text">
<h3>{link[1].replace("-", " ").replace("_", " ")}</h3>
<small>{"Using: <span class='custom-trigger-word'>"+trigger_word+"</span> as the trigger word" if trigger_word else "No trigger word found. If there's a trigger word, include it in your prompt"}</small>
</div>
</div>
</div>
"""
custom_embedding_info_html = f"{custom_embedding_info_css}{custom_embedding_info_html}"
return gr.update( # custom_embedding_info
value=custom_embedding_info_html,
visible=True
)
def add_to_embeddings(custom_embedding, embeddings):
link = custom_embedding.split("/")
if len(link) == 2:
model_card = ModelCard.load(custom_embedding)
trigger_word = model_card.data.get("instance_prompt", "")
image_url = f"""https://huggingface.co/{custom_embedding}/resolve/main/{model_card.data.get("widget", [{}])[0].get("output", {}).get("url", None)}"""
embeddings.append({
"repo_id": custom_embedding,
"trigger_word": trigger_word
})
return (
gr.update( # custom_embedding
value=""
),
gr.update( # custom_embedding_info
value="",
visible=False
),
gr.update( # embeddings
value=embeddings
)
)
def remove_from_embeddings(embeddings, index):
embeddings.pop(index)
return (
gr.update(
value=embeddings
)
)
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