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from dotenv import load_dotenv | ||
load_dotenv() | ||
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import streamlit as st | ||
import os | ||
import pathlib | ||
import textwrap | ||
from PIL import Image | ||
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import google.generativeai as genai | ||
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os.getenv("GOOGLE_API_KEY") | ||
genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | ||
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## Function to load OpenAI model and get respones | ||
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def get_gemini_response(input,image): | ||
model = genai.GenerativeModel('gemini-pro-vision') | ||
if input!="": | ||
response = model.generate_content([input,image]) | ||
else: | ||
response = model.generate_content(image) | ||
return response.text | ||
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##initialize our streamlit app | ||
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st.set_page_config(page_title="Gemini Image Demo") | ||
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st.header("You and Me ! Here we go !! ") | ||
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input=st.text_input("Input Prompt: ",key="input") | ||
uploaded_file = st.file_uploader("select an image...", type=["jpg", "jpeg", "png"]) | ||
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image="" | ||
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if uploaded_file is not None: | ||
image = Image.open(uploaded_file) | ||
st.image(image, caption="Uploaded Image.", use_column_width=True) | ||
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submit=st.button("Tell me about the image") | ||
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## If ask button is clicked | ||
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if submit: | ||
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response=get_gemini_response(input,image) | ||
st.subheader("The Response is") | ||
st.write(response) |