Upload folder using huggingface_hub

app.py

@@ -45,6 +45,29 @@ if st.button("Predict Sales"):
 
 #Batch Prediction
 uploaded_file = st.file_uploader("Upload CSV file", type=["csv"])
-st.write("All good")
 
+if st.button("Predict for Batch"):
+    if uploaded_file is not None:
+        try:
+            # Convert uploaded file to a DataFrame
+            df = pd.read_csv(uploaded_file)
 
+            # Convert DataFrame to CSV bytes like your working script
+            csv_bytes = df.to_csv(index=False).encode('utf-8')
+
+            # Send POST request with raw bytes
+            response = requests.post(
+                "https://harasar-SuperKartBackend.hf.space/v1/customerbatch",
+                files={"file": ("SuperKart.csv", csv_bytes, "text/csv")}
+            )
+
+            if response.status_code == 200:
+                st.success("Batch prediction successful!")
+                st.write(response.json())
+            else:
+                st.error(f"Error {response.status_code}: {response.text}")
+
+        except Exception as e:
+            st.error(f"Upload failed: {e}")
+    else:
+        st.warning("Please upload a CSV file first.")