Upload folder using huggingface_hub

app.py

@@ -47,9 +47,26 @@ if st.button("Predict", type='primary'):
 st.subheader("Batch Prediction")
 
 file = st.file_uploader("Upload CSV file", type=["csv"])
+
+# batch_input = {
+#     'file': batch_churn_dataset.to_csv(header=True, index=False).encode('utf-8')
+# }
+
 if file is not None:
     if st.button("Predict for Batch", type='primary'):
-        response = requests.post("https://MainiSandeep1987-BackEndFlaskAPITelecomChurnPrediction.hf.space/v1/customerbatch", files={"file": file.getvalue()})    # enter user name and space name before running the cell
+         headers = {
+                # "Authorization": "Bearer YOUR_API_KEY",  # Replace with actual API key if needed
+                "Content-Type": "multipart/form-data"
+            }
+            file_data = {"file": ("batch.csv", file.getvalue(), "text/csv")}  # Properly format file
+
+            response = requests.post(
+                "https://MainiSandeep1987-BackEndFlaskAPITelecomChurnPrediction.hf.space/v1/customerbatch",
+                files=file_data,
+                headers=headers
+            )
+             
+        ##response = requests.post("https://MainiSandeep1987-BackEndFlaskAPITelecomChurnPrediction.hf.space/v1/customerbatch", files={"file": file.getvalue()})    # enter user name and space name before running the cell
         if response.status_code == 200:
             result = response.json()
             st.header("Batch Prediction Results")