Update app.py

app.py

@@ -1,34 +1,19 @@
-import streamlit as st
-import requests
-import os
-
-# Hugging Face API Token (stored in secrets)
-HF_TOKEN = os.getenv("HF_TOKEN")
-
-# Private Space API URL (ensure it's correct)
-PRIVATE_SPACE_URL = "https://wintergw-mywebsite-private.hf.space:7860/run"
-
-st.title("🔗 Connect to Private Hugging Face Space")
-st.write("This public app calls the private Streamlit app through an API.")
-
-# Upload a file to send to the private Space
-uploaded_file = st.file_uploader("📂 Upload your Excel File", type=["xlsx"])
-
-if uploaded_file:
-    st.success("✅ File uploaded. Sending to private Space...")
-    
-    # Send file to the private Space API
-    files = {"file": uploaded_file.getvalue()}
-    headers = {"Authorization": f"Bearer {HF_TOKEN}"}
-
-    try:
-        response = requests.post(PRIVATE_SPACE_URL, files=files, headers=headers)
-
-        if response.status_code == 200:
-            st.success("✅ Private Space processed the file successfully!")
-            st.write(response.json())  # Display results
-        else:
-            st.error(f"❌ Error: {response.status_code} - {response.text}")
-
-    except requests.exceptions.RequestException as e:
-        st.error(f"🚨 Request failed: {e}")
+from huggingface_hub import hf_hub_download , snapshot_download
+import pandas as pd
+import importlib
+# snapshot_downloading your private space
+snapshot_download(
+repo_id="wintergw/assignment_opt_gurobi",
+repo_type="space",
+cache_dir="private_space_cache"
+)
+# calling the app code
+app = hf_hub_download(
+repo_id="wintergw/assignment_opt_gurobi",
+filename="app.py",
+repo_type="space"
+)
+# executing the app file 
+spec_app = importlib.util.spec_from_file_location("*",app_path)
+app = importlib.util.module_from_spec(spec_app)
+spec_app.loader.exec_module(app)