Analizzare i documenti (ad esempio i PDF) utilizzando l'API Gemini

import FirebaseAILogic

// Initialize the Gemini Developer API backend service.
let ai = FirebaseAI.firebaseAI(backend: .googleAI())

// Create a `GenerativeModel` instance with a model that supports your use case.
let model = ai.generativeModel(modelName: "gemini-3.7-flash")


// Provide the PDF as `Data` with the appropriate MIME type
let pdf = try InlineDataPart(data: Data(contentsOf: pdfURL), mimeType: "application/pdf")

// Provide a text prompt to include with the PDF file
let prompt = "Summarize the important results in this report."

// To generate text output, call `generateContent` with the PDF file and text prompt
let response = try await model.generateContent(pdf, prompt)

// Print the generated text, handling the case where it might be nil
print(response.text ?? "No text in response.")

// Initialize the Gemini Developer API backend service.
// Create a `GenerativeModel` instance with a model that supports your use case.
val model = Firebase.ai(backend = GenerativeBackend.googleAI())
                        .generativeModel("gemini-3.7-flash")


val contentResolver = applicationContext.contentResolver

// Provide the URI for the PDF file you want to send to the model
val inputStream = contentResolver.openInputStream(pdfUri)

if (inputStream != null) {  // Check if the PDF file loaded successfully
    inputStream.use { stream ->
        // Provide a prompt that includes the PDF file specified above and text
        val prompt = content {
            inlineData(
                bytes = stream.readBytes(),
                mimeType = "application/pdf" // Specify the appropriate PDF file MIME type
            )
            text("Summarize the important results in this report.")
        }

        // To generate text output, call `generateContent` with the prompt
        val response = model.generateContent(prompt)

        // Log the generated text, handling the case where it might be null
        Log.d(TAG, response.text