Update app.py

app.py

@@ -30,15 +30,25 @@ def get_groq_response(prompt):
 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):")
+# 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"])
+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 and climate and area_size and season != "Select":
+    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}', "
@@ -83,4 +93,4 @@ if st.button("Get Advisory"):
         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`
+# `streamlit run app.py`