import gradio as gr
import torch
# from diffusers import DiffusionPipeline
from diffusers import StableDiffusionPipeline

def generate(prompt, negative_prompts, samples, steps,scale, seed):
    pipeline = StableDiffusionPipeline.from_pretrained("jayparmr/icbinp", use_auth_token="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", torch_dtype=torch.float16)
    pipeline.to("cuda")
    # return pipeline(prompt).images[0]
   
    generator = torch.Generator(device="cuda").manual_seed(int(seed))
    images_list = pipeline(
        [prompt] * samples,
        negative_prompt= [negative_prompts] * samples,
        num_inference_steps=steps,
        guidance_scale=scale,
        generator=generator,
    )
    images = []
    print(images_list) 
    for i, image in enumerate(images_list["images"]):
        images.append(image)
    return images

block = gr.Blocks()

with block:
    with gr.Group():
        with gr.Box():
            with gr.Row().style(mobile_collapse=False, equal_height=True):
                text = gr.Textbox(
                    label="Enter your prompt",
                    show_label=False,
                    max_lines=1,
                    placeholder="Enter your prompt",
                ).style(
                    border=(True, False, True, True),
                    rounded=(True, False, False, True),
                    container=False,
                )
                negative_text = gr.Textbox(
                    label="Enter your negative prompt",
                    show_label=False,
                    max_lines=1,
                    placeholder="Enter your negative prompt",
                ).style(
                    border=(True, False, True, True),
                    rounded=(True, False, False, True),
                    container=False,
                )
                btn = gr.Button("Generate image").style(
                    margin=False,
                    rounded=(False, True, True, False),
                )
            # with gr.Row().style(mobile_collapse=False, equal_height=True):
            #     btn = gr.Button("Generate image").style(
            #         margin=False,
            #         rounded=(False, True, True, False),
            #     )
        gallery = gr.Gallery(
            label="Generated images", show_label=False, elem_id="gallery"
        ).style(grid=[2], height="auto")

        # advanced_button = gr.Button("Advanced options", elem_id="advanced-btn")

        with gr.Row(elem_id="advanced-options"):
            samples = gr.Slider(label="Images", minimum=1, maximum=4, value=1, step=1)
            steps = gr.Slider(label="Steps", minimum=1, maximum=50, value=25, step=1)
            scale = gr.Slider(
                label="Guidance Scale", minimum=0, maximum=50, value=7.5, step=0.1
            )
            seed = gr.Slider(
                label="Seed",
                minimum=0,
                maximum=2147483647,
                step=1,
                randomize=True,
            )
        text.submit(generate, inputs=[text,negative_text, samples, steps, scale, seed], outputs=gallery)
        btn.click(generate, inputs=[text,negative_text, samples, steps, scale, seed], outputs=gallery)
        # advanced_button.click(
        #     None,
        #     [],
        #     text,
        # )
        
block.launch()

# iface = gr.Interface(fn=generate, inputs="text", outputs="image")
# iface.launch()