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import os | |
import streamlit as st | |
from PIL import Image | |
import google.generativeai as genai | |
from constants import gemini_key | |
# Streamlit framework configuration | |
st.set_page_config( | |
page_title="OxSecure Images", | |
page_icon="π¨", | |
layout="wide" | |
) | |
# API configuration | |
os.environ["GOOGLE_API_KEY"] = gemini_key | |
genai.configure(api_key=os.environ['GOOGLE_API_KEY']) | |
# Function to load Gemini vision model and get responses | |
def get_gemini_response(input_text, image=None): | |
model = genai.GenerativeModel('gemini-pro-vision') | |
if image is not None: | |
response = model.generate_content([input_text, image]) | |
else: | |
response = model.generate_content(input_text) | |
return response.text | |
def generate_gemini_image(prompt, num_images=1, size="1024x1024"): | |
model = genai.GenerativeModel('gemini-pro-vision') | |
# Placeholder for image generation method; replace with actual method | |
response = model.generate_content(prompt) # This line should be replaced with the correct method for image generation | |
# Assuming the API returns a list of images as URLs or base64 encoded strings | |
return response.images[:num_images] # Adjust this line based on actual API response format | |
# Streamlit Main Framework | |
st.header('OxSecure ImaGen π¨') | |
st.title('GenAI ImaGen powers β¨οΈ') | |
st.subheader('By :- Aadi π§βπ»') | |
# Text input for prompt | |
input_text = st.text_input("Input Prompt: ", key="input") | |
# File uploader for image | |
uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"]) | |
image = None | |
if uploaded_file is not None: | |
image = Image.open(uploaded_file) | |
st.image(image, caption="Uploaded Image.", use_column_width=True) | |
# Button to get response about the image | |
submit_analyze = st.button("Tell me about the image") | |
if submit_analyze: | |
if input_text and image is not None: | |
response = get_gemini_response(input_text, image) | |
elif image is not None: | |
response = get_gemini_response("", image) | |
elif input_text: | |
response = get_gemini_response(input_text) | |
else: | |
response = "Please provide an input prompt or upload an image." | |
st.subheader("The Response is") | |
st.write(response) | |
# Button to generate an image from a prompt | |
submit_generate = st.button("Generate Image from Prompt") | |
if submit_generate and input_text: | |
num_images = st.number_input("Number of Images to Generate", min_value=1, max_value=5, value=1) | |
size = st.selectbox("Select Image Size", ["512x512", "1024x1024", "2048x2048"], index=1) | |
generated_images = generate_gemini_image(input_text, num_images=num_images, size=size) | |
for img in generated_images: | |
st.image(img, caption="Generated Image", use_column_width=True) | |
else: | |
if not input_text: | |
st.write("Please provide an input prompt to generate an image.") | |