Delete Crop_Advisory_Chatbot.py

Crop_Advisory_Chatbot.py

@@ -1,86 +0,0 @@
-from dotenv import load_dotenv
-import streamlit as st
-import os
-from groq import Groq 
-
-# Load environment variables from the .env file
-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.")
-
-# Input fields for user details
-soil_type = st.text_input("Soil type (e.g., sandy, clay, loamy):")
-climate = st.text_input("Climate (e.g., hot, moderate, cold):")
-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"])
-
-if st.button("Get Advisory"):
-    # Check if all fields are filled
-    if soil_type and climate and area_size 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`