text_image.py

# from dotenv import load_dotenv
# load_dotenv()  

# import streamlit as st
# import os
# import pathlib
# import textwrap
# from PIL import Image


# import google.generativeai as genai


# os.getenv("GOOGLE_API_KEY")
# genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))

# ## Function to load OpenAI model and get respones

# 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

# ##initialize our streamlit app

# st.set_page_config(page_title="Gemini Image Demo")

# st.header("You and Me ! Here we go !! ")

# input = st.text_input("Enter your question here", key="unique_input_key")
# uploaded_file = st.file_uploader("select 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)


# submit=st.button("Tell me about the image")

# ## If ask button is clicked

# if submit:
    
#     response=get_gemini_response(input,image)
#     st.subheader("The Response is")
#     st.write(response)