Added new demo

ai_finance_agent_team/README.md

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+## 💲 AI Finance Agent Team with Web Access
+This script demonstrates how to build a team of AI agents that work together as a financial analyst using GPT-4o in just 20 lines of Python code. The system combines web search capabilities with financial data analysis tools to provide comprehensive financial insights.
+
+### Features
+- Multi-agent system with specialized roles:
+    - Web Agent for general internet research
+    - Finance Agent for detailed financial analysis
+    - Team Agent for coordinating between agents
+- Real-time financial data access through YFinance
+- Web search capabilities using DuckDuckGo
+- Persistent storage of agent interactions using SQLite
+
+### How to get Started?
+
+1. Clone the GitHub repository
+```bash
+git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+```
+
+2. Install the required dependencies:
+
+```bash
+pip install -r requirements.txt
+```
+
+3. Get your OpenAI API Key
+
+- Sign up for an [OpenAI account](https://platform.openai.com/) (or the LLM provider of your choice) and obtain your API key.
+- Set your OpenAI API key as an environment variable:
+```bash
+export OPENAI_API_KEY='your-api-key-here'
+```
+
+4. Run the team of AI Agents
+```bash
+python3 finance_agent_team.py
+```
+
+5. Open your web browser and navigate to the URL provided in the console output to interact with the team of AI agents through the playground interface.

ai_finance_agent_team/finance_agent_team.py

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+from phi.agent import Agent
+from phi.model.openai import OpenAIChat
+from phi.storage.agent.sqlite import SqlAgentStorage
+from phi.tools.duckduckgo import DuckDuckGo
+from phi.tools.yfinance import YFinanceTools
+from phi.playground import Playground, serve_playground_app
+
+web_agent = Agent(
+    name="Web Agent",
+    role="Search the web for information",
+    model=OpenAIChat(id="gpt-4o"),
+    tools=[DuckDuckGo()],
+    storage=SqlAgentStorage(table_name="web_agent", db_file="agents.db"),
+    add_history_to_messages=True,
+    markdown=True,
+)
+
+finance_agent = Agent(
+    name="Finance Agent",
+    role="Get financial data",
+    model=OpenAIChat(id="gpt-4o"),
+    tools=[YFinanceTools(stock_price=True, analyst_recommendations=True, company_info=True, company_news=True)],
+    instructions=["Always use tables to display data"],
+    storage=SqlAgentStorage(table_name="finance_agent", db_file="agents.db"),
+    add_history_to_messages=True,
+    markdown=True,
+)
+
+agent_team = Agent(
+    team=[web_agent, finance_agent],
+    name="Agent Team (Web+Finance)",
+    model=OpenAIChat(id="gpt-4o"),
+    show_tool_calls=True,
+    markdown=True,
+)
+
+app = Playground(agents=[agent_team]).get_app()
+
+if __name__ == "__main__":
+    serve_playground_app("finance_agent_team:app", reload=True)

ai_finance_agent_team/requirements.txt

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+openai
+phidata
+duckduckgo-search
+yfinance
+fastapi[standard] 
+sqlalchemy