Lagt till vidarebefordran av LLM från backen.py till frontend (index.html, client.html, frontend.js

smartassist/src/backend.py

@@ -7,11 +7,16 @@ import requests
 import json
 import logging
 import os
-# from utils import set_local_logger
+import utils
+from utils import GlobalState
 
 # Create a logger for this module
-logger = logging.getLogger(__name__) # This logger will be used to log messages from this module
-logger.debug("Logging level of backend logger has been configured")
+# logger = logging.getLogger(__name__) # This logger will be used to log messages from this module
+# logger.debug("Logging level of backend logger has been configured")
+global_state = GlobalState() # Import the singleton that holds global states (e.g., logger)
+logger = global_state.getLogger(__name__)  # Logger for this module, inherit properties of the root logger
+# llm = global_state.get_llm()
+
 
 # Find out the path to current directory according to the Python interpreter (venv)
 logger.debug("Current working directory: %s", os.getcwd())
@@ -31,6 +36,7 @@ def index():
     logger.debug("Entering route '/'")
     api_endpoint = os.environ['BE_API_ENDPOINT']  # Retrieve the environment variable 
     logger.debug("API endpoint: %s", api_endpoint)
+    use_model = global_state.get_llm()
     with open('smartassist/src/html/client.html', 'r') as f:
         client_html = f.read()
     logger.debug("Client HTML (first few characters): %s", client_html[:50]) # Print to see if it's loading
@@ -114,12 +120,10 @@ def smartassist():
     return jsonify({"response": response})
 
 def get_response(user_query):
-  # Create a client object for interacting with OLLAMA API
-    client = Client()
-    # Generate and retrieve the response based on user's query
-    response = client.generate_response(user_query)
-    # Return the generated response
-    return response
+    client = Client()   # Create a client object for interacting with OLLAMA API
+    response = client.generate_response(user_query)   # Generate and retrieve the response based on user's query
+    return response     
+
 
 def run_flask(fport=5005):
     """