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import streamlit as st
import os
import google.generativeai as genai
from PIL import Image
from dotenv import load_dotenv
#Load environment variables from .env file
load_dotenv()
# Configure api
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
# Function to load Gemini Pro model and get responses
model = genai.GenerativeModel("gemini-1.5-flash")
def get_gemini_response(input, image):
if input:
response=model.generate_content([input,image], stream=True)
response.resolve()
else:
response=model.generate_content([image])
return response.text
##initialize streamlit app
st.set_page_config(page_title="PicQuery")
# App name
st.markdown("<h4 style='text-align: center;'>PicQuery</h4>", unsafe_allow_html=True)
# Upload image
uploaded_file= st.file_uploader("Choose an image...", type=['jpg', 'jpeg', 'png'])
image=''
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption="Uploaded Image.", use_column_width=True)
# Input and Submit button
input=st.text_input(" ", key="input", placeholder="Ask about the image")
submit=st.button("Submit")
## if submit is clicked
if submit:
response=get_gemini_response(input,image)
st.write(response)
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