Initial commit

README.md

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+---
+title: Test Private 2
+emoji: 📚
+colorFrom: green
+colorTo: purple
+sdk: streamlit
+sdk_version: 1.2.0
+app_file: app.py
+pinned: false
+license: mit
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

app.py

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+import streamlit as st
+from streamlit_image_comparison import image_comparison
+
+
+IMAGE_TO_URL = {
+    "sample_image_1": "https://user-images.githubusercontent.com/34196005/143309873-c0c1f31c-c42e-4a36-834e-da0a2336bb19.jpg",
+    "sample_image_2": "https://user-images.githubusercontent.com/34196005/143309867-42841f5a-9181-4d22-b570-65f90f2da231.jpg",
+}
+
+
+st.set_page_config(
+    page_title="Streamlit Image Comparison",
+    page_icon="🔥",
+    layout="centered",
+    initial_sidebar_state="auto",
+)
+
+st.markdown(
+    """
+    <h2 style='text-align: center'>
+    Streamlit Image Comparison Demo
+    </h2>
+    """,
+    unsafe_allow_html=True,
+)
+st.markdown(
+    """
+    <p style='text-align: center'>
+    <a href='https://github.com/fcakyon/streamlit-image-comparison' target='_blank'>https://github.com/fcakyon/streamlit-image-comparison</a>
+    <br />
+    Follow me for more! <a href='https://twitter.com/fcakyon' target='_blank'> <img src="https://img.icons8.com/color/48/000000/twitter--v1.png" height="30"></a><a href='https://github.com/fcakyon' target='_blank'><img src="https://img.icons8.com/fluency/48/000000/github.png" height="27"></a><a href='https://www.linkedin.com/in/fcakyon/' target='_blank'><img src="https://img.icons8.com/fluency/48/000000/linkedin.png" height="30"></a> <a href='https://fcakyon.medium.com/' target='_blank'><img src="https://img.icons8.com/ios-filled/48/000000/medium-monogram.png" height="26"></a>
+    </p>
+    """,
+    unsafe_allow_html=True,
+)
+
+st.write("##")
+
+with st.form(key="Streamlit Image Comparison"):
+    # image one inputs
+    col1, col2 = st.columns([3, 1])
+    with col1:
+        img1_url = st.text_input("Image one URL:", value=IMAGE_TO_URL["sample_image_1"])
+    with col2:
+        img1_text = st.text_input("Image one text:", value="YOLOX7")
+
+    # image two inputs
+    col1, col2 = st.columns([3, 1])
+    with col1:
+        img2_url = st.text_input("Image two URL:", value=IMAGE_TO_URL["sample_image_2"])
+    with col2:
+        img2_text = st.text_input("Image two text:", value="SAHI+YOLOX")
+
+    # continious parameters
+    col1, col2 = st.columns([1, 1])
+    with col1:
+        starting_position = st.slider(
+            "Starting position of the slider:", min_value=0, max_value=100, value=50
+        )
+    with col2:
+        width = st.slider(
+            "Component width:", min_value=400, max_value=1000, value=700, step=100
+        )
+
+    # boolean parameters
+    col1, col2, col3, col4 = st.columns([1, 3, 3, 3])
+    with col2:
+        show_labels = st.checkbox("Show labels", value=True)
+    with col3:
+        make_responsive = st.checkbox("Make responsive", value=True)
+    with col4:
+        in_memory = st.checkbox("In memory", value=True)
+
+    # centered submit button
+    col1, col2, col3 = st.columns([6, 4, 6])
+    with col2:
+        submit = st.form_submit_button("Update Render 🔥")
+
+static_component = image_comparison(
+    img1=img1_url,
+    img2=img2_url,
+    label1=img1_text,
+    label2=img2_text,
+    width=width,
+    starting_position=starting_position,
+    show_labels=show_labels,
+    make_responsive=make_responsive,
+    in_memory=in_memory,
+)

packages.txt

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+libgl1

requirements.txt

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+streamlit
+streamlit-image-comparison==0.0.1