Update app.py

app.py

@@ -1,14 +1,15 @@
+import os
+from dotenv import load_dotenv
+
+# Load .env from the root directory
+load_dotenv(dotenv_path=os.path.join(os.path.dirname(__file__), ".env"))
+
+from Rag_conversation import rag_chain  # Now import the chatbot pipeline
 import gradio as gr
-from Rag_conversation import rag_chain  # Import the RAG pipeline from your script
 from langchain_core.messages import HumanMessage, SystemMessage
 
 # Function to process user messages
 def chatbot(user_message, history):
-    """
-    :param user_message: The latest user message
-    :param history: A list of (user, ai) tuples from Gradio chat
-    :return: (bot_reply, updated_history)
-    """
     chat_history = []
     for h in history:
         chat_history.append(HumanMessage(content=h[0]))  # User message
@@ -22,7 +23,6 @@ def chatbot(user_message, history):
 
     return bot_reply
 
-
 # Create Gradio UI
 demo = gr.ChatInterface(
     chatbot,