Update app.py

app.py

@@ -3,10 +3,10 @@ import requests
 import pandas as pd
 
 # App Title
-st.title(" Superkart Product Store Sales Prediction")
+st.title("Superkart Product Store Sales Prediction")
 
 # --- Online (Single) Prediction ---
-st.subheader(" Online Prediction")
+st.subheader("Online Prediction")
 
 # Input Fields
 store_id = st.number_input("Store ID", min_value=1, step=1, value=1)
@@ -27,37 +27,37 @@ input_data = {
 }
 
 # Predict Button
-if st.button(" Predict"):
+if st.button("Predict"):
     try:
         response = requests.post(
-            "https://namita2025-superkart-backend.hf.space/predict",  # 🔁 Replace with your backend URL if needed
+            "https://namita2025-superkart-backend.hf.space/predict",  # Replace with your backend URL if needed
             json=input_data
         )
         if response.status_code == 200:
             result = response.json()
-            st.success(f" Predicted Sales: {result['predicted_sales']} units")
+            st.success(f"Predicted Sales: {result['predicted_sales']} units")
         else:
-            st.error(f" Error from API: Status Code {response.status_code}")
+            st.error(f"Error from API: Status Code {response.status_code}")
     except Exception as e:
-        st.error(f" Failed to connect to the API. Error: {e}")
+        st.error(f"Failed to connect to the API. Error: {e}")
 
 # --- Batch Prediction ---
-st.subheader(" Batch Prediction (CSV Upload)")
+st.subheader("Batch Prediction (CSV Upload)")
 
 file = st.file_uploader("Upload a CSV file with multiple records", type=["csv"])
 if file is not None:
-    if st.button(" Predict Batch"):
+    if st.button("Predict Batch"):
         try:
             response = requests.post(
-                "https://namita2025-superkart-backend.hf.space/predict_batch",  # 🔁 Replace if needed
+                "https://namita2025-superkart-backend.hf.space/predict_batch",  # Replace if needed
                 files={"file": file}
             )
             if response.status_code == 200:
                 result = response.json()
                 df = pd.DataFrame.from_dict(result, orient='index', columns=["Predicted Sales"])
-                st.success(" Batch Prediction Done!")
+                st.success("Batch Prediction Done!")
                 st.dataframe(df)
             else:
-                st.error(f" API returned status code {response.status_code}")
+                st.error(f"API returned status code {response.status_code}")
         except Exception as e:
-            st.error(f" Failed to perform bat
+            st.error(f"Failed to perform batch prediction. Error: {e}")