Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
@saboo_shubham_
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Finance Agent Demo Application Using Streamlit
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 19 juin 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run finance_agent.py' pic.twitter.com/GQpDBegf8DWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run finance_agent.py'
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Full Application Code AI Personal Finance Agent
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Full Application code to chat with AI Personal Finance Agent
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Building AI Financial Planner with User Input and Streamlit
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5. Get User Input and Generate Financial Plan • Create text inputs for the user to enter their financial goals and current financial situation.
• When the button is clicked, run the Planner assistant to generate the financial plan and display it using 'st.write()' -
Creating AI Assistants for Financial Research and Planning
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4. Create and Initialize the AI Assistants Create instances of Assistants:
• Researcher: Searches for financial advice, investment opportunities, and savings strategies based on user preferences
• Planner: Generates a personalized plan based on user preferences. -
Setting Up Streamlit App Interface with Title and Description
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3. Set up the Streamlit App • Add a title to the app using 'st.title()'
• Add a description for the app using 'st.caption()' -
Essential Libraries for Building AI Agents with Streamlit and OpenAI
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2. Import necessary libraries • Streamlit for building the web app
• phi for building AI agents and tools
• OpenAI for using GPT-4
• SerpAPI for web search functionality -
Install Python Libraries for AI Development
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1. Install the necessary Python Libraries Run the following commands from your terminal to install the required libraries:
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Build AI Personal Finance Agent GPT-4o 30 Lines
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Build an AI Personal Finance Agent with GPT-4o in just 30 lines of Python Code (step-by-step instructions):
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Building Production-Ready AI Agents: A Practical Concept
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Great concept, super useful for building AI agents for production.