Freight Rates App with Multi-function Agent This code provides a Streamlit application that allows users to interact with various functionalities through a single interface.

Functionalities:

Fetch Freight Rates: Calculates freight rates for cargo shipments based on origin, destination, and cargo details. (Uses external Moosa API) Multiplication: Performs basic multiplication of two numbers. (Placeholder, can be replaced with other calculations) Document Retrieval with Answer Generation (RAG): Answers user questions based on a specific document ("VehicleImport.pdf"). (Uses LlamaParse library)

Requirements:

llama-index-llms-openai llama-parse llama-index-agent-openai llama-index-core Instructions:

Replace the placeholder values for OPENAI_API_KEY and llx-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxlbGh7 with your actual API keys. Ensure the path to your document ("C:\Users\user\Documents\Jan 2024\Projects\RAGs\Files\VehicleImport.pdf") is correct. Run the script.

Streamlit App:

The app displays a title "Freight Rates App" and a text input field for users to enter their queries. Upon submitting a query, the app utilizes the OpenAIAgent to determine the most appropriate function to call based on the user's intent. It then retrieves the response and displays it under the "Rates" section.

Additional Notes:

The multiply function is a placeholder and can be replaced with other calculations. The RAG functionality demonstrates how to use LlamaParse to answer questions from a specific document.

Further Enhancements:

Expand the functionality set beyond the provided examples. Implement error handling for potential issues with external APIs or document retrieval. Enhance the user interface for a more interactive experience.