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)