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### Invoice extractor (modified for pet image analysis) | |
## Importing All the modules | |
import streamlit as st | |
import os | |
from PIL import Image | |
import google.generativeai as genai | |
from dotenv import load_dotenv | |
# Load all environment Variables | |
load_dotenv() | |
## Configuring the api key | |
genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | |
## Function to load Gemini Vison Pro Vision Model and Get response | |
def get_gemini_response(image, prompt): | |
## Loading the desired Model | |
model= genai.GenerativeModel("gemini-pro-vision") | |
response=model.generate_content([image[0],prompt]) | |
return response.text | |
## Function to extract data from Image Uploaded | |
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") | |
# Initializing our Streamlit Prompt | |
st.set_page_config(page_title="Pet Image Analyzer") | |
st.header("Analyze Your Pet's Image") | |
## Removed user input for text prompt | |
uploaded_file = st.file_uploader("Choose a pet image...", type=["jpg", "jpeg", "png","webp"]) | |
image = None | |
if uploaded_file is not None: | |
image = Image.open(uploaded_file) | |
st.image(image, caption="Uploaded Image.", use_column_width=True) | |
## Defining a System Prompt (pre-defined) | |
input_prompt = f"""Image: (content of the uploaded image) | |
Text: Analyze the image and provide the following information: | |
If the uploaded image is not related to Pets then give them a Applogise message but dont give any improper respones. | |
* Breed: Identify the breed of the animal in the image (if possible). | |
* Disease Detection: If the image shows a diseased area, identify the specific disease (if possible). | |
* Severity: If a disease is detected, assess the severity of the disease. | |
* Symptoms: Describe the common symptoms associated with the detected disease. | |
* Precautions: Recommend preventative measures to avoid the disease. | |
Give response with headings, | |
Give the response in proper format with the headings. | |
Inform the user if the image is not related to pet care. | |
""" | |
submit = st.button("Analyze Image") | |
Disclaimer ="""**Disclaimer:** | |
This application uses image analysis to provide potential information about your pet's health. The results are for informational purposes only and should not be considered a replacement for professional veterinary diagnosis. | |
For any concerns about your pet's health, please consult a licensed veterinarian. They can conduct a thorough examination and provide personalized recommendations for your pet's well-being.""" | |
if submit: | |
if image: | |
image_data = input_image_setup(uploaded_file) | |
response = get_gemini_response(image_data, input_prompt) | |
st.subheader("Analysis Result:") | |
st.write(response) | |
st.warning(Disclaimer) | |
else: | |
st.error("Please upload an image to proceed.") | |
else: | |
st.info("Upload an image of your pet to get started!") | |
# st.balloons() | |