Update Gradio demo, inference factory, and evaluation results

scripts/delete_hf_repo.py

@@ -1,17 +0,0 @@
-"""Delete Hugging Face repository."""
-from huggingface_hub import HfApi
-
-# Login uses HF_TOKEN environment variable automatically
-
-# Initialize API
-api = HfApi()
-
-# Delete the OliverPerrin/LexiMind model repository
-repo_id = "OliverPerrin/LexiMind"
-
-try:
-    print(f"Deleting model repository {repo_id}...")
-    api.delete_repo(repo_id=repo_id, repo_type="model")
-    print(f"✓ Successfully deleted {repo_id}")
-except Exception as e:
-    print(f"Error deleting repository: {e}")

scripts/upload_model_to_hf.py

@@ -1,32 +0,0 @@
-"""Upload model checkpoint to Hugging Face Hub."""
-import os
-from huggingface_hub import HfApi, create_repo
-
-# Login uses HF_TOKEN environment variable automatically
-
-# Initialize API
-api = HfApi()
-
-# Model repository
-repo_id = "OliverPerrin/LexiMind-Model"
-model_file = "checkpoints/best.pt"
-
-# Create repository if it doesn't exist
-try:
-    print(f"Creating model repository {repo_id}...")
-    create_repo(repo_id=repo_id, repo_type="model", exist_ok=True, private=False)
-    print("✓ Repository created/verified")
-except Exception as e:
-    print(f"Repository creation: {e}")
-
-print(f"Uploading {model_file} to {repo_id}...")
-
-# Upload the model file
-api.upload_file(
-    path_or_fileobj=model_file,
-    path_in_repo="best.pt",
-    repo_id=repo_id,
-    repo_type="model",
-)
-
-print("✓ Model uploaded successfully!")