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from dotenv import load_dotenv | |
load_dotenv() ## load all the environment variables | |
import streamlit as st | |
import os | |
import google.generativeai as genai | |
from PIL import Image | |
genai.configure(api_key=os.getenv("GOOGLE_API_KEY")) | |
## Function to load Google Gemini Pro Vision API And get response | |
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") | |
##initialize our streamlit app | |
st.set_page_config(page_title="Crop Disease Detection App") | |
st.header("Gemini Crop Disease App") | |
input=st.text_input("Input Prompt: ",key="input") | |
uploaded_file = st.file_uploader("Choose 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("Predict Crop/Plant Health") | |
input_prompt=""" | |
"You are an expert in computer vision and agriculture who can easily predict the disease of the plant. " | |
"Analyze the following image and provide 6 outputs in a structured table format: " | |
"1. Crop in the image, " | |
"2. Whether it is infected or healthy, " | |
"3. Type of disease (if any), " | |
"4. How confident out of 100% whether image is healthy or infected " | |
"5. Reason for the disease such as whether it is happening due to fungus, bacteria, insect bite, poor nutrition, etc., " | |
"6. Precautions for it." | |
""" | |
## If submit button is clicked | |
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) | |