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import io | |
import os | |
from tempfile import NamedTemporaryFile | |
import replicate | |
import streamlit as st | |
from PIL import Image | |
from dotenv import load_dotenv | |
load_dotenv() | |
os.environ["REPLICATE_API_TOKEN"] = os.getenv("REPLICATE_API_TOKEN") | |
MODEL = "daanelson/minigpt-4:b96a2f33cc8e4b0aa23eacfce731b9c41a7d9466d9ed4e167375587b54db9423" | |
st.title("Brighten Up My Day") | |
username = st.text_input("What's your name") | |
uploaded_file = st.file_uploader("Choose a file") | |
if uploaded_file is not None and username is not None: | |
# To read file as bytes: | |
image_data = uploaded_file.getvalue() | |
image = Image.open(io.BytesIO(image_data)) | |
with NamedTemporaryFile(suffix=".jpg") as temp_file: | |
image.save(temp_file.name) | |
output = replicate.run( | |
MODEL, | |
input={ | |
"image": open(temp_file.name, "rb"), | |
"temperature": 1.3, | |
"prompt": f"This is {username}. Write something nice about {username} to brighten up their " | |
f"day. And give them compliments." | |
} | |
) | |
st.divider() | |
col1, col2 = st.columns(2) | |
with col1: | |
st.image(image) | |
with col2: | |
with st.container(): | |
st.write(output) | |