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import sys | |
sys.path.append("pixray/text2image") | |
from os import path | |
from PIL import Image | |
from PIL import ImageFont | |
from PIL import Image | |
from PIL import ImageFont | |
from PIL import Image | |
from PIL import ImageFont | |
from PIL import Image | |
from PIL import ImageDraw | |
from PIL import ImageFont | |
from PIL import Image | |
from PIL import ImageFont | |
from PIL import ImageDraw | |
from PIL import ImageDraw | |
from PIL import ImageFont | |
from PIL import ImageDraw | |
from PIL import ImageFont | |
from PIL import ImageDraw | |
from PIL import ImageFont | |
from PIL import ImageDraw | |
from PIL import ImageFont | |
import os | |
import replicate | |
import st | |
## make a catch 404 statement if there is a bug | |
import streamlit.components.v1 as components | |
## now make a streamalit app gui for pixray text2image | |
import streamlit as st | |
import numpy as np | |
import PIL | |
import PIL.Image | |
import PIL.ImageDraw | |
import PIL.ImageFont | |
import PIL.ImageOps | |
def main(): | |
import replicate | |
model = replicate.models.get("pixray/text2image") | |
model.predict(prompts=input("Enter text: ")) | |
## make a streamlit app | |
## fix import replicate | |
## make a streamlit app gui for pixray text2image | |
import streamlit as st | |
import numpy as np | |
import PIL | |
import PIL.Image | |
import PIL.ImageDraw | |
import streamlit.components.v1 as components | |
## now make a streamalit app gui for pixray text2image | |
import streamlit as st | |
import numpy as np | |
import PIL | |
import PIL.Image | |
import PIL.ImageDraw | |
import PIL.ImageFont | |
import PIL.ImageOps | |
def main(): | |
st.title("Pixray Text2Image") | |
st.markdown(""" | |
This app converts text to images. | |
""") | |
st.markdown(""" | |
**How to use:** | |
1. Enter text in the text box below. | |
2. Click the button to convert text to an image. | |
3. Click the button to save the image. | |
""") | |
text = st.text_area("Enter text here:", "") | |
if st.button("Convert text to image"): | |
image = model.predict(prompts=text) | |
st.image(image, use_column_width=True) | |
if st.button("Save image"): | |
st.write("Saving image...") | |
image.save("image.png") | |
st.success("Image saved.") | |
## v0.1x INFDEV [HALTMANN AGI] | |