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streamlit-paste-button
Advanced tools
Streamlit component that allows you to paste images from your clipboard into your app with a button click
Streamlit component that allows you to paste images from your clipboard into your app with a button click.
pip install streamlit-paste-button
paste_image_button
Create a button that can be used to paste an image from the clipboard.
streamlit_paste_button.paste_image_button(
label: str,
text_color: Optional[str] = "#ffffff",
background_color: Optional[str] = "#3498db",
hover_background_color: Optional[str] = "#2980b9",
key: Optional[str] = 'paste_button',
errors: Optional[str] = 'ignore'
) -> PasteResult
label
: str, required
text_color
: str, optional
#ffffff
background_color
: str, optional
#3498db
hover_background_color
: str, optional
#2980b9
key
: str, optional
paste_button
errors
: str, optional
ignore
ignore
: Ignores errors.raise
: Display errors as st.error
messages.PasteResult
The result of a paste operation.
image_data
: PIL.Image.Image or None
None
.Create a paste button that displays the pasted image when clicked.
import streamlit as st
from streamlit_paste_button import paste_image_button as pbutton
paste_result = pbutton("📋 Paste an image")
if paste_result.image_data is not None:
st.write('Pasted image:')
st.image(paste_result.image_data)
Create a paste button with a custom label and colors.
from streamlit_paste_button import paste_image_button as pbutton
paste_result = pbutton(
label="📋 Paste an image",
text_color="#ffffff",
background_color="#FF0000",
hover_background_color="#380909",
)
Create a paste button that displays errors as st.error
messages.
from streamlit_paste_button import paste_image_button as pbutton
paste_result = pbutton(
label="📋 Paste an image",
errors="raise",
)
PasteResult is a PIL.Image.Image object. It can be manipulated as such.
from streamlit_paste_button import paste_image_button as pbutton
import io
import base64
import numpy as np
paste_result = pbutton("📋 Paste an image")
if paste_result.image_data is not None:
# Convert to bytes
img_bytes = io.BytesIO()
paste_result.image_data.save(img_bytes, format='PNG')
img_bytes = img_bytes.getvalue() # Image as bytes
# Convert to base64
img_b64 = base64.b64encode(img_bytes).decode('utf-8') # Image as base64
# Convert to numpy array
img_np = np.array(paste_result.image_data) # Image as numpy array
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