Update app.py

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from crewai import Crew, Agent, Task, Process
-from langchain_core.tools import Tool  # Import Tool from langchain_core.tools
+from langchain_core.tools import Tool
 from langchain_community.tools import DuckDuckGoSearchRun
 from langchain_community.llms import HuggingFaceHub
 import datetime
@@ -43,7 +43,7 @@ def create_ai_news_crew():
             tools effectively to find information.""",
         verbose=True,
         allow_delegation=False,
-        tools=[search_tool],  # Pass the wrapped tool
+        tools=[search_tool],
         llm=HuggingFaceHub(
             repo_id="deepseek-ai/DeepSeek-Coder-33B-Instruct",
             model_kwargs={"temperature": 0.5, "max_new_tokens": 1024, "repetition_penalty": 1.2},
@@ -75,7 +75,8 @@ def create_ai_news_crew():
             industry news, ethical considerations, and new applications of AI.
             Return the titles and URLs of the most important articles.
             """,
-        agent=researcher
+        agent=researcher,
+        expected_output="A list of titles and URLs of the most important AI news articles from yesterday." # Added expected_output
     )
 
     summarize_task = Task(
@@ -85,7 +86,8 @@ def create_ai_news_crew():
         a very brief (1-2 sentence) summary of each item and, if possible, link to the source.
         Format the output using markdown for readability.
         """,
-        agent=summarizer
+        agent=summarizer,
+        expected_output="A concise daily AI news briefing in markdown format, no more than 500 words." # Added expected_output
     )
 
     # Create Crew