Update app.py

app.py

@@ -2,34 +2,36 @@ import os
 import requests
 from huggingface_hub import HfApi
 
-# 1. Get Token from Secrets
+# 1. Configuration
 token = os.getenv("HF_TOKEN")
 dest_repo = "AIDev07/AIModelsLoaded"
 filename = "starcoder2-15b-instruct-v0.1-Q4_K_M.gguf"
-# Use the direct download URL
-source_url = f"https://huggingface.co{filename}"
+
+# Manually defined clean URL to avoid f-string errors
+source_url = "https://huggingface.co"
 
 if not token:
-    print("❌ Error: Add your 'HF_TOKEN' to the Space Secrets!")
+    print("❌ ERROR: Set 'HF_TOKEN' in Space Secrets!")
 else:
     api = HfApi(token=token)
-    print(f"🚀 Starting Stream Transfer for: {filename}")
+    print(f"🚀 Starting Transfer for: {filename}")
 
     try:
-        # 2. Open a streaming connection to the source file
+        # 2. Use the 'run_as_future' or standard upload with the stream
         with requests.get(source_url, stream=True) as r:
             r.raise_for_status()
             
-            # 3. Upload the stream directly to your dataset
-            # This doesn't save to your phone; it stays on HF servers.
+            # 3. Upload using the raw stream
             api.upload_file(
-                path_or_fileobj=r.raw, 
+                path_or_fileobj=r.raw,
                 path_in_repo=filename,
                 repo_id=dest_repo,
                 repo_type="dataset",
-                commit_message=f"Streamed upload of {filename}"
+                commit_message=f"Direct cloud transfer of {filename}"
             )
             
-        print(f"✅ SUCCESS! {filename} is now in {dest_repo}")
+        print(f"✅ DONE! File is now in {dest_repo}")
+        
     except Exception as e:
         print(f"❌ Transfer Failed: {e}")
+        print("Tip: If it says 'Connection Reset', the file is too big for a basic stream.")