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| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| def imageGen(prompt): | |
| model_name="https://api-inference.huggingface.co/models/black-forest-labs/FLUX.1-dev" | |
| client=InferenceClient(model=model_name) | |
| output=client.text_to_image(prompt) | |
| #saveData(prompt,output) | |
| return output | |
| with gr.Blocks(theme=gr.themes.Citrus()) as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| prompt = gr.Textbox(label="your prompt",scale=1) | |
| describe_btn = gr.Button("Generate Image",scale=1) | |
| with gr.Column(): | |
| image=gr.Image(type="pil", label="your image") | |
| #sending the prompt to function to get an image | |
| describe_btn.click(fn=imageGen, inputs= prompt, outputs=image) | |
| demo.launch(debug=True, share=True) |