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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Working Travel Agent Application Demo Using Streamlit
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 15 juin 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run local_travel_agent.py' pic.twitter.com/cqMWoyxnWCWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run local_travel_agent.py'
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Full Application Code: Chat with AI Travel Agent using Llama-3
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Full Application code to chat with AI Travel Agent using local Llama-3
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Build AI Travel Planner with User Input and Itinerary Generation
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6. Get User Input and Generate Itinerary • Create text inputs for the user to enter their travel destination and the number of days they want to travel for.
• When the button is clicked, run the Planner assistant to generate the itinerary and display it using 'st.write()' -

AI Assistants for Travel Planning: Researcher and Planner
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5. Create and Initialize the AI Assistants Create instances of Assistants:
• Researcher: Searches for travel destinations, activities, and accommodations based on user preferences
• Planner: Generates a draft itinerary based on user preferences and research results -
Setting Up a Streamlit App with Title and Description
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4. 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 Ollama
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3. Import necessary libraries • Streamlit for building the web app
• phi for building AI agents and tools
• Ollama for running Llama-3
• SerpAPI for web search functionality -

Deploy Llama-3 Locally Using Ollama Desktop App
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2. Deploy Llama-3 locally using Ollama • Download & Install the @ollama desktop app
• Run the following command to download llama-3 instruct model -

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 Local AI Travel Agent with Llama-3 Free
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Build an AI Travel Agent using Llama-3 running locally on your computer (100% free and without internet):