updated

requirements.txt

@@ -1,5 +1,4 @@
 langchain_core
 langchain_community
 langchain_groq
-streamlit==1.37.0
-huggingface_hub>=0.20.0
+streamlit==1.37.0

src/streamlit_app.py

@@ -3,7 +3,7 @@ import json
 from datetime import datetime
 from typing import Dict, Any, List
 import pandas as pd
-from huggingface_hub import hf_hub_upload, hf_hub_download
+import hashlib
 import os
 from service import generate_ai_response, create_user_profile_prompt, create_workout_type_prompt, create_nutrition_type_prompt, create_conversation_chat_prompt
 
@@ -73,61 +73,15 @@ st.markdown("""
 </style>
 """, unsafe_allow_html=True)
 
-# JSON file path for storing user data
-USERS_FILE = os.path.join("/home/user", "users.json")
-
-# Constants
-REPO_ID = "bsayon/Fitness-AI-Bot"
-USERS_FILE = os.path.join("/home/user", "users.json")
-TOKEN = os.getenv("HF_TOKEN") 
+all_users: Dict[str, Dict] = {}
 
 def load_users() -> Dict[str, Dict]:
-    """Load users from local file or HF Hub"""
-    try:
-        if not os.path.exists(USERS_FILE):
-            # Try downloading from HF Hub if local file doesn't exist
-            st.info("Downloading users.json from Hugging Face Hub...")
-            try:
-                hf_hub_download(
-                    repo_id=REPO_ID,
-                    filename="users.json",
-                    repo_type="space",
-                    token=TOKEN,
-                    local_dir="/home/user",
-                    local_dir_use_symlinks=False,
-                )
-            except Exception as e:
-                st.warning(f"Could not download from HF Hub: {e}")
-                return {}
-
-        with open(USERS_FILE, 'r', encoding='utf-8') as f:
-            return json.load(f)
-
-    except (json.JSONDecodeError, FileNotFoundError):
-        return {}
+    """Load users from JSON file"""
+    return all_users
 
 def save_users(users: Dict[str, Dict]):
-    """Save users to local file and push to Hugging Face Hub"""
-    try:
-        with open(USERS_FILE, 'w', encoding='utf-8') as f:
-            json.dump(users, f, indent=2, ensure_ascii=False)
-        st.success("User data saved locally.")
-
-        # Upload to Hugging Face Hub
-        try:
-            uploaded_url = hf_hub_upload(
-                repo_id=REPO_ID,
-                path_or_fileobj=USERS_FILE,
-                path_in_repo="users.json",
-                repo_type="space",
-                token=TOKEN
-            )
-            st.success("User data uploaded to Hugging Face Hub.")
-        except Exception as e:
-            st.warning(f"Upload to HF Hub failed: {e}")
-
-    except Exception as e:
-        st.error(f"Error saving user data: {str(e)}")
+    global all_users
+    all_users.update(users)
 
 def create_user(session_alias: str, name: str = "") -> bool:
     """Create a new user in JSON file"""