Xojo Plugin

XLSX Spreadsheet in AI Query

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This example shows how to convert a .xlsx spreadsheet to CSV text for input in an AI query. Currently, most AIs can't handle Excel file inputs directly. If the spreadsheet is small, you can convert it to CSV text and use it as a text input. Xojo Plugin

Dim success As Boolean
success = False

// This example assumes the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.

// .xlsx files are Zip archives
Dim zip As New Chilkat.Zip
success = zip.OpenZip("qa_data/excel/fakeCompanies.xlsx")
If (success = False) Then
    System.DebugLog(zip.LastErrorText)
    Return
End If

Dim csv As New Chilkat.Csv
Dim sheetNames As New Chilkat.StringTable
success = csv.XlsxGetSheets(zip,sheetNames)
If (success = False) Then
    System.DebugLog(csv.LastErrorText)
    Return
End If

If (sheetNames.Count = 0) Then
    System.DebugLog("There are no sheets in the .xlsx")
    Return
End If

// Get the name of the 1st sheet.
Dim sheetName As String
sheetName = sheetNames.StringAt(0)

// Load the 1st sheet into the CSV.
// We could've also loaded the 1st sheet by passing an empty string for the sheet name.
success = csv.XlsxLoadSheet(zip,sheetName)
If (success = False) Then
    System.DebugLog(zip.LastErrorText)
    Return
End If

Dim sbCsv As New Chilkat.StringBuilder
success = csv.SaveToSb(sbCsv)

// ------------------------------------------
Dim ai As New Chilkat.Ai

ai.Provider = "openai"

// Use your provider's API key.
ai.ApiKey = "MY_API_KEY"

// Choose a model.
ai.Model = "gpt-4o"

// Add text inputs
success = ai.InputAddText("Describe what is contained in the following CSV data.")
success = ai.InputAddTextSb(sbCsv)

// Ask the AI for text output.
success = ai.Ask("text")
If (success = False) Then
    System.DebugLog(ai.LastErrorText)
    Return
End If

// Get the text response.
Dim sbResponse As New Chilkat.StringBuilder
success = ai.GetOutputTextSb(sbResponse)
System.DebugLog(sbResponse.GetAsString())

// Sample output:

// The CSV data contains information about five companies, including the following fields:
// 
// 1. **CompanyName**: The name of the company.
// 2. **Address**: The street address of the company.
// 3. **City**: The city where the company is located.
// 4. **State**: The state where the company is located, abbreviated.
// 5. **Zip**: The ZIP code for the company's location.
// 6. **Phone**: The phone number of the company.
// 
// Each row in the dataset corresponds to a different company with details provided for each of these fields:
// 
// ...
// ...

// -------------------------------------------------------------
// The response is in markdown format.
// Also see Markdown to HTML Conversion Examples.
// -------------------------------------------------------------