Domain > pszemraj-summarize-long-text.hf.space

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HTTP/1.1 200 OKDate: Tue, 30 Sep 2025 18:05:36 GMTContent-Type: text/html; charsetutf-8Content-Length: 33438Connection: keep-aliveserver: uvicornx-proxied-host: http://10.29.186.184x-proxied-replica: cyo97fl4-f2r12x-proxied-path: /link: https://huggingface.co/spaces/pszemraj/summarize-long-text>;relcanonicalx-request-id: _bfponvary: origin, access-control-request-method, access-control-request-headersaccess-control-allow-credentials: true

!DOCTYPE html>html	langen	style		margin: 0;		padding: 0;		min-height: 100%;		display: flex;		flex-direction: column;	>	head>		meta charsetutf-8 />		meta			nameviewport			contentwidthdevice-width, initial-scale1, shrink-to-fitno, maximum-scale1		/>				meta propertyog:url contenthttps://gradio.app/ />		meta propertyog:type contentwebsite />		meta propertyog:image content />		meta propertyog:title contentSummarize Long-Form Text />		meta			propertyog:description			content		/>		meta nametwitter:card contentsummary_large_image />		meta nametwitter:creator content@teamGradio />		meta nametwitter:title contentSummarize Long-Form Text />		meta			nametwitter:description			content		/>		meta nametwitter:image content />		script>			window.__gradio_mode__  app;		/script>		script>window.gradio_config  {version:3.32.0\n,mode:blocks,dev_mode:false,analytics_enabled:true,components:{id:1,type:markdown,props:{value:\u003ch1\u003eLong-Form Summarization: LED \u0026amp; BookSum\u003c/h1\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:2,type:markdown,props:{value:\u003cp\u003eLED models (\u003ca href\https://huggingface.co/pszemraj/led-large-book-summary\ target\_blank\\u003emodel card\u003c/a\u003e) fine-tuned to summarize long-form text. A \u003ca href\https://huggingface.co/spaces/pszemraj/document-summarization\ target\_blank\\u003espace with other models can be found here\u003c/a\u003e\u003c/p\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:3,type:column,props:{type:column,variant:default,scale:1,min_width:320,visible:true,style:{}}},{id:4,type:markdown,props:{value:\u003ch2\u003eLoad Inputs \u0026amp; Select Parameters\u003c/h2\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:5,type:markdown,props:{value:\u003cp\u003eEnter or upload text below, and it will be summarized \u003ca href\https://huggingface.co/blog/how-to-generate\ target\_blank\\u003eusing the selected parameters\u003c/a\u003e.\u003c/p\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:6,type:row,props:{type:row,variant:default,visible:true,style:{}}},{id:7,type:dropdown,props:{choices:pszemraj/led-large-book-summary,pszemraj/led-base-book-summary,value:pszemraj/led-large-book-summary,allow_custom_value:false,label:Model Name,show_label:true,name:dropdown,visible:true,style:{}},serializer:SimpleSerializable,api_info:{info:{type:string,description:Option from: \u0027pszemraj/led-large-book-summary\u0027, \u0027pszemraj/led-base-book-summary\u0027},serialized_info:false},example_inputs:{raw:pszemraj/led-large-book-summary,serialized:pszemraj/led-large-book-summary}},{id:8,type:radio,props:{choices:2,3,4,value:2,label:Beam Search: # of Beams,show_label:true,name:radio,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:2,serialized:2}},{id:9,type:form,props:{type:form,visible:true,style:{}}},{id:10,type:markdown,props:{value:\u003cp\u003eLoad a a .txt - example or your own (\u003cem\u003eYou may find \u003ca href\https://huggingface.co/spaces/pszemraj/pdf-ocr\ target\_blank\\u003ethis OCR space\u003c/a\u003e useful\u003c/em\u003e)\u003c/p\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:11,type:row,props:{type:row,variant:default,visible:true,style:{}}},{id:12,type:dropdown,props:{choices:AM Turing - The Imitation Game.txt,HFblog-An Introduction to Q-Learning Part 1.txt,HFblog-Introducing Decision Transformers.txt,HFblog-Introducing Hugging Face for Education.txt,LOTR-S-The Music of the Ainur.txt,LOTR-S-VALAQUENTA.txt,value:HFblog-Introducing Hugging Face for Education.txt,allow_custom_value:false,label:Examples,show_label:true,name:dropdown,visible:true,style:{}},serializer:SimpleSerializable,api_info:{info:{type:string,description:Option from: \u0027AM Turing - The Imitation Game.txt\u0027, \u0027HFblog-An Introduction to Q-Learning Part 1.txt\u0027, \u0027HFblog-Introducing Decision Transformers.txt\u0027, \u0027HFblog-Introducing Hugging Face for Education.txt\u0027, \u0027LOTR-S-The Music of the Ainur.txt\u0027, \u0027LOTR-S-VALAQUENTA.txt\u0027},serialized_info:false},example_inputs:{raw:AM Turing - The Imitation Game.txt,serialized:AM Turing - The Imitation Game.txt}},{id:13,type:file,props:{file_count:single,selectable:false,label:File Upload,show_label:true,name:file,visible:true,style:{}},serializer:FileSerializable,api_info:{info:{oneOf:{type:string,description:filepath or URL to file},{type:object,properties:{name:{type:string,description:name of file},data:{type:string,description:base64 representation of file},size:{type:integer,description:size of image in bytes},is_file:{type:boolean,description:true if the file has been uploaded to the server},orig_name:{type:string,description:original name of the file}},required:name,data}},serialized_info:true},example_inputs:{raw:{is_file:false,data:{name:test/test_files/sample_file.pdf,data:data:@file/pdf;base64,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}},serialized:https://github.com/gradio-app/gradio/raw/main/test/test_files/sample_file.pdf}},{id:14,type:row,props:{type:row,variant:default,visible:true,style:{}}},{id:15,type:textbox,props:{lines:4,max_lines:12,placeholder:Enter text to summarize, the text will be cleaned and truncated on Spaces. Narrative, academic (both papers and lecture transcription), and article text work well. May take a bit to generate depending on the input text :),value:,type:text,label:Text to Summarize,show_label:true,name:textbox,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:16,type:column,props:{type:column,variant:default,scale:1,min_width:320,visible:true,style:{}}},{id:17,type:button,props:{value:Load Example,variant:secondary,interactive:true,name:button,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:18,type:button,props:{value:Upload File,variant:secondary,interactive:true,name:button,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:19,type:form,props:{type:form,visible:true,style:{}}},{id:20,type:markdown,props:{value:\u003chr\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:21,type:column,props:{type:column,variant:default,scale:1,min_width:320,visible:true,style:{}}},{id:22,type:markdown,props:{value:\u003ch2\u003eGenerate Summary\u003c/h2\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:23,type:markdown,props:{value:\u003cp\u003eSummary generation should take approximately 1-2 minutes for most settings.\u003c/p\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:24,type:button,props:{value:Summarize!,variant:primary,interactive:true,name:button,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:25,type:html,props:{value:\u003cp\u003e\u003cem\u003eOutput will appear below:\u003c/em\u003e\u003c/p\u003e,show_label:true,name:html,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:26,type:markdown,props:{value:\u003ch3\u003eSummary Output\u003c/h3\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:27,type:textbox,props:{lines:1,max_lines:20,placeholder:The generated summary will appear here,value:,type:text,label:Summary,show_label:true,name:textbox,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:28,type:markdown,props:{value:\u003cp\u003eThe summary scores can be thought of as representing the quality of the summary. less-negative numbers (closer to 0) are better:\u003c/p\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:29,type:textbox,props:{lines:1,max_lines:20,placeholder:Summary scores will appear here,value:,type:text,label:Summary 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Settings\u003c/h3\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:35,type:row,props:{type:row,variant:default,visible:true,style:{}}},{id:36,type:slider,props:{minimum:0.5,maximum:1.0,step:0.05,value:0.7,label:length penalty,show_label:true,name:slider,visible:true,style:{}},serializer:NumberSerializable,api_info:{info:{type:number,description:numeric value between 0.5 and 1.0},serialized_info:false},example_inputs:{raw:0.5,serialized:0.5}},{id:37,type:radio,props:{choices:512,768,1024,1536,value:1024,label:token batch length,show_label:true,name:radio,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:512,serialized:512}},{id:38,type:form,props:{type:form,visible:true,style:{}}},{id:39,type:row,props:{type:row,variant:default,visible:true,style:{}}},{id:40,type:slider,props:{minimum:1.0,maximum:5.0,step:0.1,value:3.5,label:repetition penalty,show_label:true,name:slider,visible:true,style:{}},serializer:NumberSerializable,api_info:{info:{type:number,description:numeric value between 1.0 and 5.0},serialized_info:false},example_inputs:{raw:1.0,serialized:1.0}},{id:41,type:radio,props:{choices:2,3,4,value:3,label:no repeat ngram size,show_label:true,name:radio,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:2,serialized:2}},{id:42,type:form,props:{type:form,visible:true,style:{}}},{id:43,type:column,props:{type:column,variant:default,scale:1,min_width:320,visible:true,style:{}}},{id:44,type:markdown,props:{value:\u003ch3\u003eAbout the Model\u003c/h3\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:45,type:markdown,props:{value:\u003cul\u003e\n\u003cli\u003e\u003ca href\https://huggingface.co/pszemraj/led-large-book-summary\ target\_blank\\u003eThis model\u003c/a\u003e is a fine-tuned checkpoint of \u003ca href\https://huggingface.co/allenai/led-large-16384\ target\_blank\\u003eallenai/led-large-16384\u003c/a\u003e on the \u003ca href\https://arxiv.org/abs/2105.08209\ target\_blank\\u003eBookSum dataset\u003c/a\u003e.The goal was to create a model that can generalize well and is useful in summarizing lots of text in academic and daily usage.\u003c/li\u003e\n\u003c/ul\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:46,type:markdown,props:{value:\u003cul\u003e\n\u003cli\u003eThe model can be used with tag \u003ca href\https://huggingface.co/pszemraj/led-large-book-summary\ target\_blank\\u003epszemraj/led-large-book-summary\u003c/a\u003e. See the model card for details on usage \u0026amp; a Colab notebook for a tutorial.\u003c/li\u003e\n\u003c/ul\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:47,type:markdown,props:{value:\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eUpdate May 1, 2023:\u003c/strong\u003e Enabled faster inference times via \u003ccode\u003euse_cacheTrue\u003c/code\u003e, the number of words the model will processed has been increased! Not on this demo, but there is a \u003ca href\https://huggingface.co/pszemraj/led-large-book-summary-continued\ target\_blank\\u003etest model\u003c/a\u003e available: an extension of \u003ccode\u003eled-large-book-summary\u003c/code\u003e.\u003c/li\u003e\n\u003c/ul\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},{id:48,type:markdown,props:{value:\u003chr\u003e\n,name:markdown,visible:true,style:{}},serializer:StringSerializable,api_info:{info:{type:string},serialized_info:false},example_inputs:{raw:Howdy!,serialized:Howdy!}},css:null,title:Summarize Long-Form Text,is_space:true,enable_queue:true,show_error:false,show_api:true,is_colab:false,stylesheets:https://fonts.googleapis.com/css2?familySource+Sans+Pro:wght@400;600\u0026displayswap,https://fonts.googleapis.com/css2?familyIBM+Plex+Mono:wght@400;600\u0026displayswap,theme:default,layout:{id:0,children:{id:1},{id:2},{id:3,children:{id:4},{id:5},{id:6,children:{id:7},{id:9,children:{id:8}}},{id:10},{id:11,children:{id:12},{id:13}},{id:14,children:{id:19,children:{id:15}},{id:16,children:{id:17},{id:18}}}},{id:20},{id:21,children:{id:22},{id:23},{id:24},{id:25},{id:26},{id:30,children:{id:27}},{id:28},{id:31,children:{id:29}}},{id:32},{id:33,children:{id:34},{id:35,children:{id:38,children:{id:36},{id:37}}},{id:39,children:{id:42,children:{id:40},{id:41}}}},{id:43,children:{id:44},{id:45},{id:46},{id:47},{id:48}}},dependencies:{targets:17,trigger:click,inputs:12,outputs:15,backend_fn:true,js:null,queue:null,api_name:null,scroll_to_output:false,show_progress:true,every:null,batch:false,max_batch_size:4,cancels:,types:{continuous:false,generator:false},collects_event_data:false,trigger_after:null,trigger_only_on_success:false},{targets:18,trigger:click,inputs:13,outputs:15,backend_fn:true,js:null,queue:null,api_name:null,scroll_to_output:false,show_progress:true,every:null,batch:false,max_batch_size:4,cancels:,types:{continuous:false,generator:false},collects_event_data:false,trigger_after:null,trigger_only_on_success:false},{targets:24,trigger:click,inputs:15,7,8,37,36,40,41,outputs:25,27,29,backend_fn:true,js:null,queue:null,api_name:null,scroll_to_output:false,show_progress:true,every:null,batch:false,max_batch_size:4,cancels:,types:{continuous:false,generator:false},collects_event_data:false,trigger_after:null,trigger_only_on_success:false},root:};/script>		link relpreconnect hrefhttps://fonts.googleapis.com />		link			relpreconnect			hrefhttps://fonts.gstatic.com			crossoriginanonymous		/>		script srchttps://cdnjs.cloudflare.com/ajax/libs/iframe-resizer/4.3.1/iframeResizer.contentWindow.min.js>/script>		script typemodule crossorigin src./assets/index-607392ea.js>/script>			/head>	body		style			width: 100%;			margin: 0;			padding: 0;			display: flex;			flex-direction: column;			flex-grow: 1;			>		gradio-app			control_page_titletrue			embedfalse			eagertrue			styledisplay: flex; flex-direction: column; flex-grow: 1		>		/gradio-app>		script>			const ce  document.getElementsByTagName(gradio-app);			if (ce0) {				ce0.addEventListener(domchange, () > {					document.body.style.padding  0;				});				document.body.style.padding  0;			}		/script>	/body>/html>

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veb-101-uwmgi-medical-image-segmentation.hf.space	2025-02-13	44.220.97.6
notha99y-timetable-selection.hf.space	2025-09-30	54.145.224.52
kahraman42-animal-species-detection.hf.space	2025-02-10	34.237.237.210
fffiloni-image2sfx-comparison.hf.space	2025-09-27	54.145.224.52
bhaskartripathi-pdfgpt-turbo.hf.space	2025-02-16	35.174.94.150
yuntian-deng-chatgpt4turbo.hf.space	2025-02-24	52.54.116.144
orderlymirror-text-to-video.hf.space	2025-09-30	3.221.99.236
wrdias-comfyui-advanced-video2video.hf.space	2025-09-19	34.225.178.167
andzhk-pnginfo.hf.space	2025-02-14	52.3.84.195
vishalmysore-a2amcpmongo.hf.space	2025-09-30	3.221.99.236
gradio-chatinterface-streaming-echo.hf.space	2025-09-26	3.221.99.236
kargaranamir-selenium-screenshot-gradio.hf.space	2025-09-30	44.219.145.144
wushuang98-direct3d-s2-v1-0-demo.hf.space	2025-09-04	44.219.8.222
qwen-qwen3-demo.hf.space	2025-09-30	44.219.145.144
qwen-qwen2-5-omni-7b-demo.hf.space	2025-09-30	3.221.99.236
stevhliu-gradio-pipeline-demo.hf.space	2025-09-30	3.221.99.236
paddlepaddle-ernie-x1-turbo-demo.hf.space	2025-09-30	3.221.99.236
resembleai-chatterbox-tts-demo.hf.space	2025-09-30	44.219.145.144
cmu-gil-legogpt-demo.hf.space	2025-09-30	54.145.224.52
qwen-qwen2-5-max-demo.hf.space	2025-08-20	54.208.116.228
vishalmysore-a2amcpdemo.hf.space	2025-09-30	54.145.224.52
multichem-pd-mlb-dfs-roo.hf.space	2025-09-22	34.225.178.167
kerimmkirac-vavoo.hf.space	2025-09-21	34.225.178.167
alibaba-pai-easyphoto.hf.space	2025-02-12	34.237.237.210
llmhacker-realtime-flux-modified-flux-schnell-for-ja-p.hf.space	2025-09-30	3.221.99.236
felixrosberg-face-swap.hf.space	2025-09-30	3.221.99.236
tonyassi-face-swap.hf.space	2025-02-14	52.3.84.195
coxapi-faceswap.hf.space	2025-09-21	18.233.176.84
pminervini-tmp.hf.space	2025-02-12	34.237.237.210
redradios-f5-tts-sp.hf.space	2025-09-30	54.145.224.52
sumit7864-image-enhancer.hf.space	2025-02-17	3.215.212.165

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Domain > pszemraj-summarize-long-text.hf.space

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