Upload folder using huggingface_hub

.huggingface.yaml

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+sdk: gradio
+python_version: 3.12
+hardware: cpu-basic

app.py

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+import gradio as gr
+from gradio_client import Client, handle_file
+
+PROMT_GET_STYLE = 'Describe the artistic style and technique of this image in one sentence, DO NOT DESCRIBE THE PLOT. Start with: "Change the style of this picture to"'
+
+def get_joy_caption(
+    image_path: str,
+    prompt: str = PROMT_GET_STYLE,
+    temperature: float = 0.6,
+    top_p: float = 0.9,
+    max_new_tokens: int = 512,
+    log_prompt: bool = True
+) -> str:
+    client = Client("fancyfeast/joy-caption-beta-one")
+    result = client.predict(
+        input_image=handle_file(image_path),
+        prompt=prompt,
+        temperature=temperature,
+        top_p=top_p,
+        max_new_tokens=max_new_tokens,
+        log_prompt=log_prompt,
+        api_name="/chat_joycaption"
+    )
+    return result
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Flux Kontext Prompt Generator — Style Transfer")
+
+    with gr.Row():
+        image = gr.Image(type="filepath", label="Upload or Paste Image")
+        prompt_out = gr.Textbox(label="Generated Prompt", lines=2)
+    
+    with gr.Row():
+        btn = gr.Button("Get Style")
+        copy_btn = gr.Button("📋 Copy to Clipboard")
+
+    btn.click(fn=get_joy_caption, inputs=image, outputs=prompt_out)
+"() => navigator.clipboard.writeText(document.getElementById('prompt_out').value)"
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+gradio
+gradio_client