AI_skin doctor.py

from langchain_groq import ChatGroq
import streamlit as st

from langchain.prompts import PromptTemplate

st.title('Plant Disease Classifier')#TITLE
st.subheader("HERE YOU WILL FIND CAUSES AND SOLUTION FOR YOUR PROBLEM....")


LLM=ChatGroq(temperature=0.6,
             groq_api_key='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')#GEN AI MODEL


from PIL import Image

# Create a file uploader widget
uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])

# Check if a file has been uploaded
if uploaded_file is not None:
    # Open the image file
    image = Image.open(uploaded_file)
    
    # Display the image
    st.image(image, caption='Uploaded Image.', use_column_width=True)

SUB=st.button('SUBMIT')#BUTTON

B=PromptTemplate(input=['image'],
                 template="""you are a phytopathologistsr with 20 years of experience in this field, please go through the {image}uploaded image and classify to which it belongs and also tell me wheather it is effect to which disease and display it and also provide me the solutions and reasons for that disease""")

if SUB:
    D=B.format(image=uploaded_file)
    E=LLM.invoke(D)
    st.write(E.content)