Update app.py

app.py

@@ -3,8 +3,6 @@ import requests
 import os
 import json
 import pandas as pd
-import folium
-from streamlit_folium import folium_static
 import matplotlib.pyplot as plt
 
 # Function to call the Together AI model
@@ -59,11 +57,11 @@ if st.button("Generate Prediction"):
         f"Temperature {temperature}°C, Humidity {humidity}%, Wind Speed {wind_speed} km/h, UV Index {uv_index}, "
         f"Air Quality Index {air_quality_index}, Precipitation {precipitation} mm, Atmospheric Pressure {atmospheric_pressure} hPa. "
         f"Location: Latitude {latitude}, Longitude {longitude}."
-        f"After analysing that i want you to visualize the data in the best way possible, might be in a table, using a chart or any other way so that it could be easy to understand"
+        f"After analyzing that I want you to visualize the data in the best way possible, might be in a table, using a chart or any other way so that it could be easy to understand"
     )
 
     try:
-        with st.spinner("Generating response..."):
+        with st.spinner("Analyzing climate conditions... Generating predictions... Preparing visualizations..."):
             response = call_ai_model(all_message)
 
             generated_text = ""
@@ -105,13 +103,6 @@ if st.button("Generate Prediction"):
             ax.set_title('Climate Conditions Impact')
             st.pyplot(fig)
 
-            # Generate static map using Folium
-            map_center = [latitude, longitude]
-            sport_map = folium.Map(location=map_center, zoom_start=12)
-            folium.Marker(location=map_center, popup="User Location").add_to(sport_map)
-            st.subheader("Geographical Visualization")
-            folium_static(sport_map)
-
     except ValueError as ve:
         st.error(f"Configuration error: {ve}")
     except requests.exceptions.RequestException as re: