CODE

Discover LLM Apps with RAG in GitHub Repository

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15 June 2024 4h28

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

Working Travel Agent Application Demo Using Streamlit

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15 June 2024 4h28

Working Application demo using Streamlit

Paste the above code in vscode or pycharm and run the following command: 'streamlit run local_travel_agent.py' pic.twitter.com/cqMWoyxnWC
— Shubham Saboo (@Saboo_Shubham_) 15 juin 2024

Working Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run local_travel_agent.py'

Full Application Code: Chat with AI Travel Agent using Llama-3

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15 June 2024 4h27

Full Application code to chat with AI Travel Agent using local Llama-3

Build AI Travel Planner with User Input and Itinerary Generation

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15 June 2024 4h27

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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15 June 2024 4h27

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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15 June 2024 4h27

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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15 June 2024 4h27

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