Spaces:
Running
Running
Sample Data Download Feature
Browse files- Welcome.py +30 -1
- sample_data.zip +3 -0
Welcome.py
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# Set the page config
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import streamlit as st
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st.set_page_config(
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page_title="Welcome",
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page_icon=":open_file_folder:",
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layout="wide",
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# Set the page config
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import streamlit as st
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# Set the page configuration
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st.set_page_config(
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page_title="Welcome",
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page_icon=":open_file_folder:",
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layout="wide",
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)
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# Welcome Title
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st.title("Welcome to No-Code Computer Vision Accelerator")
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# Tool Description
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st.markdown(
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"""
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### About This Tool
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**No-Code Computer Vision Accelerator** is a powerful, no-code application designed to streamline the process of automated image labeling and augmentation pipeline creation. Key features include:
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- **No-Code Interface:** Easily build and manage image labeling and augmentation pipelines without writing code.
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- **Real-Time Visualization:** Instantly visualize your pipelines to ensure they meet your project requirements.
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- **Automated Code Generation:** Seamlessly generate deployment-ready code with just a few clicks.
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- **Enhanced Model Training & Validation:** Advanced error detection and warning systems to ensure efficient and reliable pipeline operation.
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Experience the efficiency of our tool by trying out a sample dataset below.
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"""
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)
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# Add a download button for the sample dataset
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with open("sample_data.zip", "rb") as file:
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st.download_button(
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label="Download Sample Dataset",
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data=file,
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file_name="sample_data.zip",
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mime="application/zip",
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)
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sample_data.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:1130f4e42b84a20ce2cec67d5c847f81bfe0fe331f573e224e4c2e1369bc5245
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size 1737704
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