Upload folder using huggingface_hub

app.py

@@ -36,7 +36,7 @@ if st.button("Predict"):
     if response.status_code == 200:
         prediction = response.json()
         st.success("Product sales predictions completed!")
-        st.success(f"Predicted Rental Price (in dollars): {prediction}")
+        st.success(f"Predicted Sales Price (in dollars): {prediction}")
     else:
         st.error("Error making prediction.")
         st.error(f"Error code: {response.status_code}")
@@ -50,7 +50,7 @@ uploaded_file = st.file_uploader("Upload CSV file for batch prediction", type=["
 # Make batch prediction when the "Predict Batch" button is clicked
 if uploaded_file is not None:
   if st.button("Predict Batch"):
-        files = {"file": (uploaded_file.name, uploaded_file.getvalue(), "text\csv")}
+        files = {"file": (uploaded_file.name, uploaded_file.getvalue(), "text/csv")}
         response = requests.post("https://deepacsr-RentalPricePredictionBackend.hf.space/v1/ProductBatchSales",files=files) # Send file to Flask API
         if response.status_code == 200:
             predictions = response.json()