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from dotenv import load_dotenv
import streamlit as st
import os
from groq import Groq
# Load environment variables from the .env fil
load_dotenv()
# Securely get the GROQ API key from environment variables
groq_api_key = os.getenv("GROQ_API_KEY")
if not groq_api_key:
raise ValueError("GROQ_API_KEY environment variable not set.")
# Initialize the client with the API key
client = Groq(api_key=groq_api_key)
# Function to get a response from Groq API
def get_groq_response(prompt):
try:
chat_completion = client.chat.completions.create(
messages=[{"role": "user", "content": prompt}],
model="llama3-8b-8192"
)
return chat_completion.choices[0].message.content
except Exception as e:
return f"Error: {str(e)}"
# Streamlit app layout
st.title("Crop Advisory Chatbot")
st.write("Provide your details to get personalized crop advice.")
# Multiple-choice options for soil type
soil_type = st.selectbox("Soil Type:", [
"Select", "Alluvial Soil (Loamy and Clay)", "Sandy Soil",
"Mountain Soil", "Clay Soil", "Saline and Alkaline Soil"
])
# Multiple-choice options for climate
climate = st.selectbox("Climate:", [
"Select", "Hot", "Moderate", "Cold"
])
# Input for area size and season selection
area_size = st.number_input("Area size in acres:", min_value=0.1, step=0.1)
season = st.selectbox("Current Season:", ["Select", "Summer", "Winter", "Rainy", "Autumn", "Spring"])
# Button to get advisory
if st.button("Get Advisory"):
# Check if all fields are filled
if soil_type != "Select" and climate != "Select" and area_size > 0 and season != "Select":
# Prompts for different advisory features
crop_recommendation_prompt = (
f"Suggest suitable crops for soil type '{soil_type}', climate '{climate}', "
f"area size '{area_size}' acres, and season '{season}'."
)
fertilizer_prompt = (
f"Provide fertilizer recommendations for crops suitable in soil '{soil_type}' "
f"and climate '{climate}'."
)
irrigation_prompt = (
f"Suggest irrigation methods and water requirements for crops in "
f"'{soil_type}' soil with '{climate}' climate."
)
harvest_prompt = (
f"When is the best harvesting time for crops in '{climate}' climate during the '{season}' season?"
)
# Fetch responses from Groq API
with st.spinner("Fetching advisory..."):
crop_recommendation = get_groq_response(crop_recommendation_prompt)
fertilizer_advice = get_groq_response(fertilizer_prompt)
irrigation_advice = get_groq_response(irrigation_prompt)
harvest_advice = get_groq_response(harvest_prompt)
# Display results
st.subheader("Crop Recommendations")
st.write(crop_recommendation)
st.subheader("Fertilizer Recommendations")
st.write(fertilizer_advice)
st.subheader("Irrigation Advice")
st.write(irrigation_advice)
st.subheader("Harvesting Advice")
st.write(harvest_advice)
else:
st.warning("Please fill in all the details to get the advisory.")
# To run the app in Colab, you need to use ngrok or run it locally with:
# `streamlit run app.py`
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