fix: resolve HfFolder import error by pinning dependencies and update README links

README.md

@@ -18,11 +18,12 @@ pinned: false
 [![CI](https://github.com/hodfa840/-RetailMind-Self-Healing-LLM-for-Store-Intelligence/actions/workflows/ci.yml/badge.svg)](https://github.com/hodfa840/-RetailMind-Self-Healing-LLM-for-Store-Intelligence/actions)
 [![Python 3.10+](https://img.shields.io/badge/python-3.10%2B-blue?logo=python&logoColor=white)](https://python.org)
 [![Gradio](https://img.shields.io/badge/Gradio-4.0%2B-orange?logo=gradio)](https://gradio.app)
-[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
+[![Hugging Face Space](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Space-blue)](https://huggingface.co/spaces/Hodfa71/RetailMind)
+[![Live Demo](https://img.shields.io/badge/Demo-Direct%20Link-green)](https://hodfa71-retailmind.hf.space/)
 
 **An autonomous e-commerce AI that detects semantic drift in user intent and self-heals its own behavior in real time — no human in the loop.**
 
-[Live Demo](https://huggingface.co/spaces/Hodfa71/RetailMind) · [Architecture](#-architecture) · [How It Works](#-how-the-self-healing-loop-works) · [Technical Decisions](#-technical-decisions)
+[Hugging Face Space](https://huggingface.co/spaces/Hodfa71/RetailMind) · [Direct App URL](https://hodfa71-retailmind.hf.space/) · [Architecture](#-architecture) · [How It Works](#-how-the-self-healing-loop-works)
 
 </div>
 

deploy_hf.py

@@ -0,0 +1,18 @@
+import os
+from huggingface_hub import HfApi
+
+token = open("hf_token").read().strip()
+api = HfApi(token=token)
+
+repo_id = "Hodfa71/RetailMind"
+print(f"Creating Space: {repo_id}")
+api.create_repo(repo_id=repo_id, repo_type="space", space_sdk="gradio", exist_ok=True)
+
+print("Uploading files...")
+api.upload_folder(
+    folder_path=".",
+    repo_id=repo_id,
+    repo_type="space",
+    allow_patterns=["*.py", "*.txt", "*.md", "modules/**/*.py", "tests/**/*.py"]
+)
+print(f"Deployed to https://huggingface.co/spaces/{repo_id}")

modules/llm.py

@@ -81,10 +81,8 @@ def generate_response(
         gen = _get_pipeline()
         result = gen(
             messages,
-            max_new_tokens=150,
-            temperature=0.1,
-            do_sample=True,
-            top_p=0.85,
+            max_new_tokens=120,
+            do_sample=False,
             return_full_text=False,
         )
         generated = result[0]["generated_text"]

requirements.txt

@@ -1,8 +1,8 @@
-gradio>=4.0.0
+gradio==5.1.0
 transformers
 torch
 sentence-transformers
-huggingface_hub
+huggingface_hub==0.26.2
 python-dotenv
 plotly
 numpy