Added Mobile Usability Module

app/page_speed/config.py

@@ -19,11 +19,6 @@ class Settings(BaseSettings):
     groq_api_key: str
     vectorstore_base_path: str = "./vectorstores"
 
-    # ───────────────────────────────────────────────────────────────────────────
-    # Hugging Face Hub
-    # ───────────────────────────────────────────────────────────────────────────
-    huggingfacehub_api_token: str
-
     # ───────────────────────────────────────────────────────────────────────────
     # MongoDB Configuration (Local)
     # ───────────────────────────────────────────────────────────────────────────
@@ -40,6 +35,15 @@ class Settings(BaseSettings):
             f"mongodb+srv://{self.mongo_user}:{pw}@{self.mongo_host}/"
             f"{self.mongo_db}?retryWrites=true&w=majority&ssl=true"
         )
+
+
+    # ───────────────────────────────────────────────────────────────────────────
+    # local MongoDB Connection
+    # ───────────────────────────────────────────────────────────────────────────
+     
+        #return f"mongodb://localhost:27017/{self.mongo_db}"
+    
+
     # ───────────────────────────────────────────────────────────────────────────
     # FastAPI Server Configuration
     # ───────────────────────────────────────────────────────────────────────────

app/rag/db.py

@@ -7,8 +7,7 @@ from app.page_speed.config import settings
 # ──────────────────────────────────────────────────────────────────────────────
 
 # Connect to MongoDB using the URI from settings
-mongo_client = MongoClient("localhost", 27017)  # Use default MongoDB port
-# mongo_client = MongoClient(settings.mongo_uri)
+mongo_client = MongoClient(settings.mongo_uri)
 
 # Use the renamed settings attributes
 mongo_db = mongo_client[settings.mongo_db]
@@ -18,3 +17,22 @@ vectorstore_meta_coll = mongo_db["vectorstore_metadata"]
 
 # Name of the collection that MongoDBChatMessageHistory will write to
 chat_collection_name = settings.mongo_collection
+
+
+# # ____________________________________________________________
+# #Local MongoDB Connection
+# # ____________________________________________________________
+
+# # db.py
+# from pymongo import MongoClient
+# from app.page_speed.config import settings
+
+# # Always connect to local MongoDB
+# mongo_client = MongoClient("mongodb://localhost:27017/")
+
+# # Select the database from settings
+# mongo_db = mongo_client[settings.mongo_db]
+
+# # Collections
+# vectorstore_meta_coll = mongo_db["vectorstore_metadata"]
+# chat_collection_name = settings.mongo_collection

app/rag/embeddings.py

@@ -1,5 +1,4 @@
 import os
-from langchain_huggingface import HuggingFaceEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from dotenv import load_dotenv
 
@@ -27,23 +26,9 @@ def get_llm():
 text_splitter = RecursiveCharacterTextSplitter(chunk_size=512, chunk_overlap=100)
 
 # ──────────────────────────────────────────────────────────────────────────────
-# 2. Embeddings Model (HuggingFace BGE) on CPU
+# 2. Embeddings Model
 # ──────────────────────────────────────────────────────────────────────────────
 
-
-# HF_TOKEN = os.getenv("HUGGINGFACEHUB_API_TOKEN")
-
-# from huggingface_hub import login
-
-# login(HF_TOKEN)
-
-# model_name = "BAAI/bge-small-en-v1.5"
-# model_kwargs = {"device": "cpu"}
-# encode_kwargs = {"normalize_embeddings": True}
-# embeddings = HuggingFaceEmbeddings(
-#     model_name=model_name, model_kwargs=model_kwargs, encode_kwargs=encode_kwargs
-# )
-    
 from langchain_google_genai import GoogleGenerativeAIEmbeddings
 from dotenv import load_dotenv