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app.py
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app.py
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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_dotenv()
# genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
# def get_gemini_repsonse(input,image,prompt):
# model=genai.GenerativeModel('gemini-pro-vision')
# response=model.generate_content([input,image[0],prompt])
# return response.text
# def input_image_setup(uploaded_file):
# # Check if a file has been uploaded
# if uploaded_file is not None:
# # Read the file into bytes
# bytes_data = uploaded_file.getvalue()
# image_parts = [
# {
# "mime_type": uploaded_file.type, # Get the mime type of the uploaded file
# "data": bytes_data
# }
# ]
# return image_parts
# else:
# raise FileNotFoundError("No file uploaded")
# st.set_page_config(page_title="Analyze")
# st.sidebar.header("Image Descriptor")
# uploaded_file = st.sidebar.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
# image=""
# input=""
# submit=0
# if uploaded_file is not None:
# st.subheader("Your Uploaded image")
# image = Image.open(uploaded_file)
# st.image(image, caption="Uploaded Image.", use_column_width=True)
# input=st.text_input("Ask the question related to uploaded image only*: ",key="input")
# submit=st.button("Start Analyzing")
# else:
# st.header("Smart Image Descriptor System")
# st.markdown("---")
# st.markdown("Welcome to our Image Descriptor System! This cutting-edge tool is designed to analyze and provide detailed descriptions of images you upload. Whether you're curious about the contents of a photo or need a comprehensive analysis , just Go for it.")
# st.markdown("Neeraj Kumar")
# col1, col2, col3 = st.columns([1,1,1])
# with col1:
# st.link_button("Linkdin", "https://www.linkedin.com/in/neeraj-kumar-9a75811a2")
# with col2:
# st.link_button("Github", "https://github.com/neerajcodes888")
# with col3:
# st.link_button("Kaggle", "https://www.kaggle.com/neerajdata")
# st.markdown("---")
# st.info('Smart Image Descriptor - Describe your image now', icon=None)
# st.warning(' Upload images in (.jpg , .jpeg , .png)format Only')
# input_prompt="""
# You are an expert in giving description where you need to see the items from the image
# and also provide the details of every items with
# is below format
# 1. Item 1 -
# 2. Item 2 -
# ----
# ----
# give 1 recommendation regarding items
# and if question is not related to uploaded picture then simply tell out of context , do not provide wrong information. just say out of context
# """
# if submit:
# image_data=input_image_setup(uploaded_file)
# response=get_gemini_repsonse(input_prompt,image_data,input)
# st.subheader("The Response is")
# st.write(response)
import streamlit as st
import os
import google.generativeai as genai
from PIL import Image
from dotenv import load_dotenv
load_dotenv()
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
def get_gemini_response(input_text, image_data, prompt):
# Use the updated model name
model = genai.GenerativeModel('gemini-1.5-flash')
response = model.generate_content([input_text, image_data[0], prompt])
return response.text
def input_image_setup(uploaded_file):
if uploaded_file is not None:
bytes_data = uploaded_file.getvalue()
image_parts = [
{
"mime_type": uploaded_file.type,
"data": bytes_data
}
]
return image_parts
else:
raise FileNotFoundError("No file uploaded")
# Streamlit page configuration
st.set_page_config(page_title="Analyze")
st.sidebar.header("Image Descriptor")
uploaded_file = st.sidebar.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
image = ""
input_text = ""
submit = 0
if uploaded_file is not None:
st.subheader("Your Uploaded Image")
image = Image.open(uploaded_file)
st.image(image, caption="Uploaded Image.", use_column_width=True)
input_text = st.text_input("Ask a question related to the uploaded image:", key="input")
submit = st.button("Start Analyzing")
else:
st.header("Smart Image Descriptor System")
st.markdown("---")
st.markdown("Welcome to our Image Descriptor System! This cutting-edge tool is designed to analyze and provide detailed descriptions of images you upload. Whether you're curious about the contents of a photo or need a comprehensive analysis, just give it a try.")
st.markdown("Neeraj Kumar")
col1, col2, col3 = st.columns([1, 1, 1])
with col1:
st.button("LinkedIn", on_click=lambda: st.write("[LinkedIn](https://www.linkedin.com/in/neeraj-kumar-9a75811a2)"))
with col2:
st.button("GitHub", on_click=lambda: st.write("[GitHub](https://github.com/neerajcodes888)"))
with col3:
st.button("Kaggle", on_click=lambda: st.write("[Kaggle](https://www.kaggle.com/neerajdata)"))
st.markdown("---")
st.info('Smart Image Descriptor - Describe your image now', icon=None)
st.warning('Upload images in (.jpg, .jpeg, .png) format only.')
input_prompt = """
You are an expert in describing images. Analyze the items in the image and provide details in the following format:
1. Item 1 -
2. Item 2 -
----
Give 1 recommendation regarding the items.
If the question is not related to the uploaded picture, simply say "Out of context."
"""
if submit:
try:
image_data = input_image_setup(uploaded_file)
response = get_gemini_response(input_text, image_data, input_prompt)
st.subheader("The Analysis says")
st.write(response)
except Exception as e:
st.error(f"An error occurred: {str(e)}")