Added multi-agent demo with llama-3

multi_agent_researcher/research_agent_llama3.py

@@ -0,0 +1,39 @@
+# Import the required libraries
+import streamlit as st
+from phi.assistant import Assistant
+from phi.tools.hackernews import HackerNews
+from phi.llm.ollama import Ollama
+
+# Set up the Streamlit app
+st.title("Multi-Agent AI Researcher using Llama-3 🔍🤖")
+st.caption("This app allows you to research top stories and users on HackerNews and write blogs, reports and social posts.")
+
+
+# Create instances of the Assistant
+story_researcher = Assistant(
+    name="HackerNews Story Researcher",
+    role="Researches hackernews stories and users.",
+    tools=[HackerNews()],
+    llm=Ollama(model="llama3:instruct", max_tokens=1024)
+)
+
+user_researcher = Assistant(
+    name="HackerNews User Researcher",
+    role="Reads articles from URLs.",
+    tools=[HackerNews()],
+    llm=Ollama(model="llama3:instruct", max_tokens=1024)
+)
+
+hn_assistant = Assistant(
+    name="Hackernews Team",
+    team=[story_researcher, user_researcher],
+    llm=Ollama(model="llama3:instruct", max_tokens=1024)
+)
+
+# Input field for the report query
+query = st.text_input("Enter your report query")
+
+if query:
+    # Get the response from the assistant
+    response = hn_assistant.run(query, stream=False)
+    st.write(response)