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| #import os | |
| # temp_dir = './temp/' | |
| # os.environ["CUDA_VISIBLE_DEVICES"] = "0" | |
| # os.environ['TMPDIR'] = temp_dir | |
| # import shutil | |
| import gradio as gr | |
| from summagery_pipline import Summagery | |
| # if os.path.exists(temp_dir): | |
| # try: | |
| # shutil.rmtree(temp_dir) | |
| # print(f"The directory at {temp_dir} has been removed successfully along with its contents.") | |
| # except OSError as e: | |
| # print(f"Error: {temp_dir} - {e}") | |
| # os.makedirs(temp_dir, exist_ok=True) | |
| def generate(text, batch_size, model_type, abstractness): | |
| model = Summagery(model_type,batch_size=int(batch_size),abstractness=abstractness) | |
| images=model.ignite(text) | |
| return images | |
| with gr.Blocks(theme=gr.themes.Soft(),) as demo: | |
| gr.Markdown( | |
| """ | |
| <h1 style="text-align:center;">Welcome to Summagery: Document Summarization through Images</h1> | |
| <h3 style="text-align:center;">Summarize long and short documents on any topic as images</h3> | |
| <p style="text-align:left;">1. <b>Document:</b> Enter the text of the document you want to summarize.</p> | |
| <p style="text-align:left;">2. <b>Batch Size:</b> Adjust the batch size for processing very long documents (e.g., 500 pages)</p> | |
| <p style="text-align:left;">3. <b>T5_Model_Checkpoint:</b> Choose the model checkpoint (e.g., "t5-large", "t5-base", "t5-small"). Smaller models require less memory.</p> | |
| <p style="text-align:left;">4. <b>Abstractness:</b> Slide to select the level of abstractness of your document, vary this attribute to explore different images.</p> | |
| <p style="text-align:left;"> <b>For more details:</b> check out my <a href="https://fittar.me/post/summagary/" target="_blank">blog post</a> for a comprehensive explanation of the Summagery project.</p> | |
| """) | |
| inputs = [ | |
| gr.Textbox(label="Document", lines=10,interactive=True), | |
| gr.Number(label="Batch Size", value=5), | |
| gr.Dropdown(label="T5_Model_Checkpoint", choices=["t5-large", "t5-base", "t5-small"], value='t5-large'), | |
| gr.Slider(label="Abstractness", minimum=0, maximum=1, value=.2) | |
| ] | |
| outputs = gr.Gallery( | |
| label="Generated images", show_label=False, elem_id="gallery" | |
| , columns=[2], rows=[2], object_fit="contain", height="auto") | |
| clear = gr.ClearButton([inputs[0]]) | |
| greet_btn = gr.Button("Submit") | |
| greet_btn.click(fn=generate, inputs=inputs, outputs=outputs, api_name="Summagery") | |
| demo.launch() |