Spaces:
Sleeping
Sleeping
Add some urls, modify documentation and the structure
Browse files- .gitignore +1 -0
- app.py +47 -30
.gitignore
CHANGED
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*.env
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.env
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__pycache__
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.DS_Store
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*.DS_Store
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*.env
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.env
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venv
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__pycache__
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.DS_Store
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*.DS_Store
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app.py
CHANGED
@@ -21,7 +21,6 @@ st.sidebar.caption("Tidy Tabs - Title")
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user_input_url = st.sidebar.text_input('Enter your url:')
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error_message_url = None
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-
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def load_tab():
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if(user_input_url):
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# Error message state
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else:
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**<title>: **{title}')
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time.sleep(1)
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**T5-small: **{predict_model_t5(text)}')
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**Pegasus xsum: **{predict_model_pegasus(text)}')
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**Bart-Large-Cnn: **{predict_model_bart(text)}')
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else:
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error_message = st.sidebar.error(f'Is not a valid URL. Please enter a valid URL.')
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button_clicked = st.sidebar.button("Rename the tab", on_click=load_tab())
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st.sidebar.divider()
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###
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# Content
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###
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st.image('./assets/banner_tabs.png', width=350, caption='Navigate Through Powerful Features with Intuitive Tabs')
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with st.status("Loading models...", expanded=True, state="complete") as models:
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st.write("Loading https://huggingface.co/wgcv/tidy-tab-model-t5-small")
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get_tidy_tab_t5()
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st.write("Loaded T5-Small...")
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-
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st.write("Loading from https://huggingface.co/wgcv/tidy-tab-model-pegasus-xsum")
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get_tidy_tab_pegasus()
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st.write("Loaded Pegasus xsum...")
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st.write("Loading from https://huggingface.co/wgcv/tidy-tab-model-bart-large-cnn")
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load_model_bart()
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st.write("Loaded Pegasus Bart-Large...")
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models.update(label="All models loaded!", state="complete", expanded=False)
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st.info("All three models are deployed in a single Hugging Face Space using the free tier. Specifications: CPU-based (no GPU), 2 vCPU cores, 16 GB RAM, and 50 GB storage.",icon="ℹ️")
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###
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@@ -82,14 +66,27 @@ Here are some examples you can try that aren't included in the training or test
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# Examples
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```
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Urls:
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```
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@@ -166,12 +163,17 @@ Given the substantial volume of data, training a model from scratch was deemed i
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- 406M params
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### Potential avenues for performance enhancement include:
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- Data preprocessing optimization
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- Dataset expansion
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- Comprehensive hyperparameter tuning
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- These strategies could significantly improve model efficacy.
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## co2_eq_emissions
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- emissions: 0.16 grams of CO2)
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""", unsafe_allow_html=False, help=None)
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user_input_url = st.sidebar.text_input('Enter your url:')
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error_message_url = None
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def load_tab():
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if(user_input_url):
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# Error message state
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else:
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**<title>: ** {title}')
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time.sleep(1)
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**T5-small: ** {predict_model_t5(text)}')
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**Pegasus xsum: ** {predict_model_pegasus(text)}')
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with st.spinner('Wait for it...'):
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st.sidebar.write(f'**Bart-Large-Cnn: ** {predict_model_bart(text)}')
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else:
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error_message = st.sidebar.error(f'Is not a valid URL. Please enter a valid URL.')
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button_clicked = st.sidebar.button("Rename the tab", on_click=load_tab())
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st.sidebar.divider()
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###
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# Content
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###
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st.image('./assets/banner_tabs.png', width=350, caption='Navigate Through Powerful Features with Intuitive Tabs')
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st.info("All three models are deployed in a single Hugging Face Space using the free tier. Specifications: CPU-based (no GPU), 2 vCPU cores, 16 GB RAM, and 50 GB storage.",icon="ℹ️")
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###
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# Examples
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```
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Urls:
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High Similarity to Training Data:
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https://www.nytimes.com/2007/01/10/technology/10apple.html
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https://www.nytimes.com/2021/04/15/arts/design/Met-museum-roof-garden-da-corte.html
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https://github.com/torvalds
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Less than 2% Overlap with Training Data:
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https://substack.com/browse/staff-picks/post/145699191
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https://brentcates.substack.com/p/julian-assange-is-now-free-to-collapse
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Moderate Similarity to Training Data:
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https://techcrunch.com/2024/07/05/openai-breach-is-a-reminder-that-ai-companies-are-treasure-troves-for-hackers/
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https://www.forbes.com/sites/davidphelan/2024/07/09/apple-iphone-16-pro-major-design-upgrade-coming-new-report-claims/
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https://www.crn.com/news/channel-programs/18828789/microsoft-to-release-windows-xp-service-pack-1
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https://www.rickbayless.com/recipe/pastor-style-tacos/
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No Similarity to Training Data:
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https://www.notioneverything.com/blog/notion-note-taking-templates
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https://www.eluniverso.com/noticias/ecuador/quito-prohibido-circular-dos-personas-moto-seguridad-nota/
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https://www.swift.org/blog/swift-on-windows/
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Some websites, like x.com or instagram.com, are not accessible because they use JavaScript engines to load content, which is beyond the scope of this project.
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```
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- 406M params
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+
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### Potential avenues for performance enhancement include:
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- Data preprocessing optimization
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- Dataset expansion
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- Comprehensive hyperparameter tuning
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- These strategies could significantly improve model efficacy.
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- Add more language in the dataset
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### Access to the Models
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`https://huggingface.co/wgcv/tidy-tab-model-t5-small`
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`https://huggingface.co/wgcv/tidy-tab-model-pegasus-xsum`
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`https://huggingface.co/wgcv/tidy-tab-model-bart-large-cnn`
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## co2_eq_emissions
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- emissions: 0.16 grams of CO2)
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""", unsafe_allow_html=False, help=None)
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with st.sidebar.status("Loading models...", expanded=True, state="complete") as models:
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st.write("Loading 1/3 (https://huggingface.co/wgcv/tidy-tab-model-t5-small)")
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get_tidy_tab_t5()
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st.write("Loaded T5-Small...")
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st.write("Loading 2/3 (https://huggingface.co/wgcv/tidy-tab-model-pegasus-xsum)")
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get_tidy_tab_pegasus()
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st.write("Loaded Pegasus xsum...")
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st.write("Loading 3/3 (https://huggingface.co/wgcv/tidy-tab-model-bart-large-cnn)")
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load_model_bart()
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st.write("Loaded Pegasus Bart-Large...")
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models.update(label="All models loaded!", state="complete", expanded=False)
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