Update app.py

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 import requests
 from bs4 import BeautifulSoup
-from langchain.schema import HumanMessage
+from langchain_core.messages import HumanMessage # แก้ไขตรงนี้
 from langchain_groq import ChatGroq
 import json
 import os
@@ -147,12 +147,11 @@ def generate_final_sentiment(news_data, sentiment_counts):
     - Negative articles: {sentiment_counts['Negative']}
     - Neutral articles: {sentiment_counts['Neutral']}
     
-    The following are the summarized key points from the articles: "{combined_summaries}".
-    
     Provide a single, concise summary that integrates the overall sentiment analysis and key news highlights while maintaining a natural flow. Explain its implications for the company's reputation, stock potential, and public perception.
     
     Respond **ONLY** with a well-structured very concise and short paragraph in plain text, focusing on overall sentiment.
     """
+    # ใช้ HumanMessage จาก langchain_core.messages
     response = llm.invoke([HumanMessage(content=prompt)], max_tokens=200)
     final_sentiment = response if response else "Sentiment analysis summary not available."
     return final_sentiment.content