Update app.py
Browse files
app.py
CHANGED
@@ -2,11 +2,36 @@ import gradio as gr
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from gradio_client import Client
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import os
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from dotenv import load_dotenv
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# Load environment variables
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load_dotenv()
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HF_TOKEN = os.getenv("HF_TOKEN")
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# Enhanced examples with more detailed prompts and specific styling
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EXAMPLES = [
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{
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@@ -202,22 +227,7 @@ EXAMPLES = [
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}
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]
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"""Generate a diagram using FLUX AI"""
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try:
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client = Client("black-forest-labs/FLUX.1-schnell", hf_token=HF_TOKEN)
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result = client.predict(
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prompt,
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1872187377, # seed
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False, # randomize_seed
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width,
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height,
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4, # num_inference_steps
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api_name="/infer"
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)
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return result
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except Exception as e:
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raise gr.Error(f"Error generating diagram: {str(e)}")
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# Convert examples to Gradio format
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GRADIO_EXAMPLES = [
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@@ -251,61 +261,39 @@ demo = gr.Interface(
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],
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outputs=gr.Image(type="filepath", label="Generated Diagram"),
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title="π¨ FLUX Diagram Generator",
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description="
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Create intricate mind maps with custom themes and detailed iconography.""",
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article="""
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### Tips for Better Results
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- Use
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- Include
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- Use consistent
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- Combine both functional and decorative elements
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### Template Structure
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```
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MAIN TOPIC
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βββ
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β βββ SUB-D [Custom Icon]
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βββ TERTIARY
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βββ SUB-E [Dynamic Icon]
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βββ SUB-F [Unique Icon]
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```
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""",
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examples=
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cache_examples=True,
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theme=gr.themes.Soft()
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css="""
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.gradio-container {
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font-family: 'Inter', sans-serif;
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}
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.gr-prose {
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max-width: 850px;
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margin: auto;
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}
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.gr-prose code {
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background-color: #f3f4f6;
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padding: 0.2em 0.4em;
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border-radius: 0.3em;
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font-size: 0.95em;
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}
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.gr-prose h3 {
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margin-top: 1.5em;
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color: #2563eb;
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}
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"""
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)
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# Launch app
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if __name__ == "__main__":
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from gradio_client import Client
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import os
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from dotenv import load_dotenv
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import torch
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# Load environment variables
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load_dotenv()
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HF_TOKEN = os.getenv("HF_TOKEN")
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# Check CUDA availability and set device
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DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
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def generate_diagram(prompt, width=1024, height=1024):
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"""Generate a diagram using FLUX AI"""
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try:
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client = Client(
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"black-forest-labs/FLUX.1-schnell",
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hf_token=HF_TOKEN,
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)
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result = client.predict(
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prompt,
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1872187377, # seed
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False, # randomize_seed
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width,
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height,
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4, # num_inference_steps
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api_name="/infer"
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)
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return result
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except Exception as e:
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raise gr.Error(f"Error generating diagram: {str(e)}")
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# Enhanced examples with more detailed prompts and specific styling
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EXAMPLES = [
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{
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}
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]
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# Convert examples to Gradio format
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GRADIO_EXAMPLES = [
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],
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outputs=gr.Image(type="filepath", label="Generated Diagram"),
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title="π¨ FLUX Diagram Generator",
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description="Generate beautiful hand-drawn style diagrams using FLUX AI",
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article="""
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### Tips for Better Results
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- Use clear hierarchical structures
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- Include icon descriptions in brackets
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- Keep text concise and meaningful
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- Use consistent formatting
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### Template Structure
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```
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MAIN TOPIC
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βββ SUBTOPIC 1 [Icon]
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βββ SUBTOPIC 2 [Icon]
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βββ SUBTOPIC 3
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βββ DETAIL 1 [Icon]
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βββ DETAIL 2 [Icon]
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```
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""",
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examples=EXAMPLES,
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cache_examples=True,
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theme=gr.themes.Soft()
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)
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# Launch app with error handling
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if __name__ == "__main__":
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try:
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demo.queue(max_size=10)
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860,
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share=False,
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show_error=True,
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enable_queue=True
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)
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except Exception as e:
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print(f"Error launching app: {str(e)}")
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