added library

app.py

@@ -2,7 +2,6 @@ import os
 import gradio as gr
 from huggingface_hub import InferenceClient
 import pyodbc
-# from sqlalchemy import create_engine
 
 # Clients for each model provider
 llama_client = InferenceClient(provider="sambanova", api_key=os.environ["HF_TOKEN"])
@@ -49,27 +48,6 @@ def get_sql_connection():
     db_connection = connect_sql_pyodbc()
     return db_connection
     
-# def connect_sql_sqlalchemy():
-#     server = os.getenv("SQL_SERVER")
-#     database = os.getenv("SQL_DATABASE")
-#     username = os.getenv("SQL_USERNAME")
-#     password = os.getenv("SQL_PASSWORD")
-#     driver = "ODBC+Driver+17+for+SQL+Server"  # URL encoded version
-
-#     conn_url = (
-#         f"mssql+pyodbc://{username}:{password}@{server}/{database}"
-#         f"?driver={driver.replace(' ', '+')}"
-#     )
-
-#     try:
-#         engine = create_engine(conn_url)
-#         conn = engine.connect()
-#         print("✅ SQLAlchemy connection successful")
-#         return conn
-#     except Exception as e:
-#         print(f"❌ SQLAlchemy connection failed: {e}")
-#         return None
-
 # Format chat history for Markdown display
 def format_chat_history(chat_history):
     formatted = ""

requirements.txt

@@ -2,3 +2,4 @@ transformers>=4.41.0
 torch>=2.2.0
 gradio>=4.24.0
 huggingface_hub>=0.22.2
+pyodbc>=5.2.0