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import gradio as gr | |
import io | |
from PIL import Image | |
API_URL = "https://api-inference.huggingface.co/models/hc1608/diffusion" | |
headers = {"Authorization": "Bearer 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"} | |
def query(payload): | |
response = requests.post(API_URL, headers=headers, json=payload) | |
image_bytes = response.content | |
image = Image.open(io.BytesIO(image_bytes)) | |
return image | |
demo = gr.Interface(fn=query, inputs="text", outputs="image") | |
if __name__ == "__main__": | |
demo.launch(debug = True) |