Upload 2 files
Browse files- main.py +64 -0
- requirements.txt +4 -0
main.py
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import pandas as pd
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import streamlit as st
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from PIL import Image
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# from streamlit_drawable_canvas import st_canvas
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import replicate
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from pathlib import Path
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# Import the 'replicate' module, which likely contains functions for running AI models or tasks.
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import replicate
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import urllib.request
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from pathlib import Path
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import os
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from PIL import Image
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st.title("StyleSnap")
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with st.sidebar:
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with st.form('Replicate'):
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# User selects the model (OpenAI/Cohere) and enters API keys
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rep_key = st.text_input('Enter Replicate Key', type="password")
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submitted = st.form_submit_button("Submit")
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if rep_key:
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os.environ["REPLICATE_API_TOKEN"] = rep_key
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def resize_image(image, size):
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img = Image.open(image)
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img_resized = img.resize(size, Image.LANCZOS)
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return img_resized
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def gen(path,prompt,clothing):
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output = replicate.run(
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"naklecha/fashion-ai:4e7916cc6ca0fe2e0e414c32033a378ff5d8879f209b1df30e824d6779403826",
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input={"image": open(path,'rb'),
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"clothing": clothing,
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"prompt": prompt}
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)
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urllib.request.urlretrieve(output[-1], "image.png")
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image = Image.open("image.png")
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st.image(image)
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image.save("inpainting.png")
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clothing = [
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"topwear",
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"bottomwear"
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]
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clothing = st.selectbox("Select clothing", clothing)
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prompt = st.text_input('Enter prompt')
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uploaded_file = st.file_uploader(f"Upload image:", type=['png','jpg'])
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if (st.button("Submit")):
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if uploaded_file is not None:
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st.write("File uploaded successfully!")
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file_contents = uploaded_file.read()
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save_path = uploaded_file.name
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# image = Image.open(uploaded_file)
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resized_size = (512, 512)
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resized_image = resize_image(uploaded_file, resized_size)
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st.image(resized_image, caption="Uploaded Image", use_column_width=True)
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resized_image.save(save_path)
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gen(save_path,prompt,clothing)
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requirements.txt
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streamlit==1.3.1
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Pillow==8.4.0
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replicate~=0.8.3
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utils~=1.0.1
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