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Update app.py
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app.py
CHANGED
@@ -11,7 +11,7 @@ dataset = load_dataset("Gustavosta/Stable-Diffusion-Prompts")
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prompt_df = dataset["train"].to_pandas()
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def get_samples():
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prompt_list = prompt_df.sample(n = 5)["Prompt"].map(lambda x: x).values.tolist()
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return prompt_list
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def get_params(request: gr.Request):
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@@ -241,6 +241,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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with gr.Column():
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exps = gr.Examples(
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get_samples(),
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inputs = text_prompt,
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@@ -253,11 +254,10 @@ with gr.Blocks(css=css) as demo:
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label="Prompt Examples",
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samples=exps_l,
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)
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exp_refresh = gr.Button(value="Click Refresh to get newly prompt examples")
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exp_refresh.click(get_samples, None, exps)
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exps.select(lambda x: x[0], exps, text_prompt)
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text_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output)
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demo.load(get_params, None, [current_model, exps])
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prompt_df = dataset["train"].to_pandas()
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def get_samples():
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prompt_list = prompt_df.sample(n = 5)["Prompt"].map(lambda x: [x]).values.tolist()
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return prompt_list
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def get_params(request: gr.Request):
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with gr.Row():
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with gr.Column():
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'''
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exps = gr.Examples(
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get_samples(),
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inputs = text_prompt,
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label="Prompt Examples",
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samples=exps_l,
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)
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#exp_refresh = gr.Button(value="Click Refresh to get newly prompt examples")
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#exp_refresh.click(get_samples, None, exps)
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exps.select(lambda x: x[0], exps, text_prompt)
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text_button.click(generate_txt2img, inputs=[current_model, text_prompt, negative_prompt, image_style], outputs=image_output)
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demo.load(get_params, None, [current_model, exps])
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