update

app.py

@@ -2,9 +2,9 @@ import streamlit as st
 import requests
 import pandas as pd
 
-# Backend API URL
 BACKEND_API_URL = "https://your-username-tds-ph-backend.hf.space/predict"
 
+
 # Set up the main title and subtitle
 st.title("🔍 TDS and pH Level Predictor")
 st.markdown("Get predictions for hourly **pH** and **TDS** levels based on selected date. Perfect for water quality monitoring!")
@@ -20,20 +20,23 @@ with st.sidebar.expander("🔧 Input Parameters"):
 col1, col2 = st.columns([1, 3])
 with col1:
     if st.button("🚀 Predict"):
-        # Send request to backend API
         response = requests.post(BACKEND_API_URL, json={"day": day, "month": month, "year": year})
 
-        # Process and display the results
+
+        # Refined DataFrame for predictions
+        if response.status_code == 200:
+            # Process and display the results
+            results = response.json()
+            results_df = pd.DataFrame(results)
+            st.write("### Predictions")
+            st.dataframe(results_df)
+        else:
+            st.error("Error: Could not retrieve predictions. Please check the backend service.")
+
+        # Display predictions with a header and a styled table
         with col2:
-            if response.status_code == 200:
-                results = response.json()
-                results_df = pd.DataFrame(results)
-                
-                # Display styled DataFrame with predictions
-                st.markdown("### 📊 Prediction Results")
-                st.dataframe(results_df.style.set_properties(**{
-                    'background-color': 'lavender',
-                    'font-size': '14px'
-                }).highlight_max(axis=0, color='lightblue'))
-            else:
-                st.error("Error: Could not retrieve predictions. Please check the backend service.")
+            st.markdown("### 📊 Prediction Results")
+            st.dataframe(results_df.style.set_properties(**{
+                'background-color': 'lavender',
+                'font-size': '14px'
+            }).highlight_max(axis=0, color='lightblue'))

random_forest_ph_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c2c5ad14396bf5e42f7cb858ce0df6d0ffb55b1218e06273a239e806e0647ae
+size 593665

random_forest_tds_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:706e77a4f82f6a3fb65af960dbf10009f1cfedfb4249e2d34037ddcf3792f039
+size 942593

requirements.txt

@@ -1,3 +1,5 @@
 streamlit
-pandas
-requests
+joblib
+numpy==1.26.4
+scikit-learn==1.2.2
+pandas