Create app.py

app.py

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+import streamlit as st
+from crewai import Crew, Agent, Task, Process
+from langchain_community.tools import DuckDuckGoSearchRun
+#from langchain_openai import ChatOpenAI  # Remove OpenAI
+from langchain_community.llms import HuggingFaceHub  # Import Hugging Face Hub
+import datetime
+import os
+
+# --- Environment Setup ---
+#  Make sure to set your HUGGINGFACEHUB_API_TOKEN in your environment variables.
+
+huggingfacehub_api_token = os.environ.get("HUGGINGFACEHUB_API_TOKEN")
+
+
+# --- Helper Functions ---
+
+def get_date_range():
+    """Calculates yesterday's date for the search query."""
+    today = datetime.date.today()
+    yesterday = today - datetime.timedelta(days=1)
+    return yesterday.strftime("%Y-%m-%d")
+
+
+
+# --- Agent and Task Definitions ---
+
+def create_ai_news_crew():
+    """Creates the CrewAI crew, agents, and tasks."""
+
+    search_tool = DuckDuckGoSearchRun()
+
+    # Define Agents
+    researcher = Agent(
+        role='AI News Researcher',
+        goal='Find the most recent and relevant AI news articles from yesterday',
+        backstory="""You are a specialized AI research agent 
+            focused on finding the most relevant and impactful news articles 
+            related to Artificial Intelligence.  You excel at using search 
+            tools effectively to find information.""",
+        verbose=True,
+        allow_delegation=False,
+        tools=[search_tool],
+        llm=HuggingFaceHub(
+            repo_id="deepseek-ai/DeepSeek-Coder-33B-Instruct",  # Use the DeepSeek-Coder model (Instruct version is better for this task)
+            model_kwargs={"temperature": 0.5, "max_new_tokens": 1024, "repetition_penalty": 1.2}, # Added repetition penalty
+            huggingfacehub_api_token=huggingfacehub_api_token,
+        )
+    )
+
+    summarizer = Agent(
+        role='AI News Summarizer',
+        goal='Summarize the key news articles and create a concise daily briefing',
+        backstory="""You are an expert at taking multiple pieces of information 
+            and condensing them into clear, concise, and informative summaries.
+            You are writing for a busy executive who needs to stay up-to-date
+            on AI developments quickly.""",
+        verbose=True,
+        allow_delegation=False,
+        llm=HuggingFaceHub(
+            repo_id="deepseek-ai/DeepSeek-Coder-33B-Instruct", #Use DeepSeek-Coder model
+            model_kwargs={"temperature": 0.2, "max_new_tokens": 1024, "repetition_penalty": 1.2},  # Lower temp, high rep penalty for concise output
+            huggingfacehub_api_token=huggingfacehub_api_token,
+        )
+    )
+    
+    # Define Tasks
+    yesterday_str = get_date_range()
+    research_task = Task(
+        description=f"""Find at least 5 relevant news articles about Artificial Intelligence 
+            published on {yesterday_str}. Focus on major breakthroughs, 
+            industry news, ethical considerations, and new applications of AI.
+            Return the titles and URLs of the most important articles.
+            """,
+        agent=researcher
+    )
+    
+    summarize_task = Task(
+      description="""Using the news articles identified, create a daily AI news 
+        briefing.  The briefing should be no more than 500 words and should
+        cover the 3-5 most important AI news items from yesterday. Include 
+        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
+    )
+
+    # Create Crew
+    crew = Crew(
+        agents=[researcher, summarizer],
+        tasks=[research_task, summarize_task],
+        verbose=True,  # You can set it to 1 or 2 to different level of logs
+        process=Process.sequential  # Tasks are executed sequentially
+    )
+    return crew
+
+
+
+
+# --- Streamlit App ---
+
+def main():
+    """Main function to run the Streamlit app."""
+
+    st.set_page_config(
+        page_title="AI Daily News Briefing",
+        page_icon="🤖",
+        layout="wide"
+    )
+
+    st.title("AI Daily News Briefing 🤖")
+    st.write("Get a concise summary of the most important AI news from yesterday.")
+
+    if st.button("Generate Briefing"):
+        with st.spinner("Generating your daily AI news briefing..."):
+            try:
+                crew = create_ai_news_crew()
+                result = crew.kickoff()  # Start the crew's work
+                st.subheader("Your AI News Briefing:")
+                st.markdown(result)
+
+            except Exception as e:
+                st.error(f"An error occurred: {e}")
+                st.error("Please check your API key and ensure you have set up the environment correctly.")
+
+
+
+if __name__ == "__main__":
+    if not huggingfacehub_api_token:
+        st.error("HUGGINGFACEHUB_API_TOKEN is not set.  Please set it as an environment variable.")
+    else:
+        main()