Conversation with Gemini

Guide me how I (as Gemini) use you as chat bot in my project, How can I use you by embedding your relevant code in my HTML file. Please guide.

As Gemini, you can be used as a chatbot in your project by integrating the Gemini API. Directly embedding complex AI logic into an HTML file isn't the standard or recommended approach due to security concerns (exposing your API key) and the need for server-side processing for real-time AI interactions.

Here's a guide on how you can use the Gemini API to power a chatbot in your web project, leveraging HTML, CSS, and JavaScript, while handling the API calls securely:

Core Concepts for Gemini Chatbot Integration

  1. Gemini API Key: You'll need an API key from Google AI Studio. This key authenticates your requests to the Gemini API. Crucially, never expose this API key directly in your client-side HTML or JavaScript.

  2. Frontend (HTML, CSS, JavaScript): This is what the user interacts with. HTML for structure, CSS for styling, and JavaScript for handling user input, displaying responses, and making API calls.

  3. Backend (Node.js, Python, etc.): This is essential for securely interacting with the Gemini API. Your HTML/JavaScript frontend will send user queries to your backend, which then makes the secure call to the Gemini API using your API key. The backend then sends the Gemini's response back to the frontend.

  4. Google Generative AI SDK: Google provides SDKs for various languages (Node.js, Python, Go, Java, etc.) to simplify interactions with the Gemini API.

Step-by-Step Guide

1. Get Your Gemini API Key

  • Go to Google AI Studio.

  • Sign in with your Google account.

  • Create a new project or select an existing one.

  • Generate an API key. Keep this key private and secure.

2. Set Up Your Project Structure

Create a new folder for your project and inside it, create these files:

your-chatbot-project/
+├── index.html
+├── style.css
+├── script.js
+└── server.js  (or server.py for Python, etc.)
+

3. Frontend (index.html, style.css, script.js)

index.html (Basic Structure)

HTML
<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Gemini Chatbot</title>
+    <link rel="stylesheet" href="style.css">
+</head>
+<body>
+    <div class="chat-container">
+        <div class="chat-header">Gemini Chatbot</div>
+        <div class="chat-messages" id="chat-messages">
+            </div>
+        <div class="chat-input-area">
+            <input type="text" id="user-input" placeholder="Type your message...">
+            <button id="send-button">Send</button>
+        </div>
+    </div>
+    <script src="script.js"></script>
+</body>
+</html>
+

style.css (Basic Styling)

CSS
body {
+    font-family: Arial, sans-serif;
+    display: flex;
+    justify-content: center;
+    align-items: center;
+    min-height: 100vh;
+    background-color: #f0f2f5;
+    margin: 0;
+}
+
+.chat-container {
+    width: 400px;
+    height: 600px;
+    background-color: #fff;
+    border-radius: 8px;
+    box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1);
+    display: flex;
+    flex-direction: column;
+    overflow: hidden;
+}
+
+.chat-header {
+    background-color: #4CAF50;
+    color: white;
+    padding: 15px;
+    font-size: 1.2em;
+    text-align: center;
+}
+
+.chat-messages {
+    flex-grow: 1;
+    padding: 15px;
+    overflow-y: auto;
+    display: flex;
+    flex-direction: column;
+}
+
+.message {
+    padding: 8px 12px;
+    border-radius: 15px;
+    margin-bottom: 10px;
+    max-width: 80%;
+    word-wrap: break-word;
+}
+
+.user-message {
+    align-self: flex-end;
+    background-color: #e0f7fa;
+    color: #333;
+}
+
+.gemini-message {
+    align-self: flex-start;
+    background-color: #f1f0f0;
+    color: #333;
+}
+
+.chat-input-area {
+    display: flex;
+    padding: 15px;
+    border-top: 1px solid #eee;
+}
+
+.chat-input-area input {
+    flex-grow: 1;
+    padding: 10px;
+    border: 1px solid #ddd;
+    border-radius: 20px;
+    outline: none;
+}
+
+.chat-input-area button {
+    background-color: #4CAF50;
+    color: white;
+    border: none;
+    border-radius: 20px;
+    padding: 10px 15px;
+    margin-left: 10px;
+    cursor: pointer;
+    transition: background-color 0.3s ease;
+}
+
+.chat-input-area button:hover {
+    background-color: #45a049;
+}
+

script.js (Frontend Logic)

JavaScript
document.addEventListener('DOMContentLoaded', () => {
+    const userInput = document.getElementById('user-input');
+    const sendButton = document.getElementById('send-button');
+    const chatMessages = document.getElementById('chat-messages');
+
+    sendButton.addEventListener('click', sendMessage);
+    userInput.addEventListener('keypress', (e) => {
+        if (e.key === 'Enter') {
+            sendMessage();
+        }
+    });
+
+    function addMessage(text, sender) {
+        const messageDiv = document.createElement('div');
+        messageDiv.classList.add('message', `${sender}-message`);
+        messageDiv.textContent = text;
+        chatMessages.appendChild(messageDiv);
+        chatMessages.scrollTop = chatMessages.scrollHeight; // Scroll to bottom
+    }
+
+    async function sendMessage() {
+        const message = userInput.value.trim();
+        if (message === '') return;
+
+        addMessage(message, 'user');
+        userInput.value = ''; // Clear input
+
+        try {
+            // Make a request to your backend server
+            const response = await fetch('/chat', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json'
+                },
+                body: JSON.stringify({ message })
+            });
+
+            if (!response.ok) {
+                throw new Error(`HTTP error! status: ${response.status}`);
+            }
+
+            const data = await response.json();
+            addMessage(data.response, 'gemini');
+        } catch (error) {
+            console.error('Error sending message to backend:', error);
+            addMessage('Oops! Something went wrong. Please try again.', 'gemini');
+        }
+    }
+});
+

4. Backend (using Node.js and Express.js as an example)

This is where you'll securely handle your API key and make calls to the Gemini API.

1. Initialize Node.js Project

Open your terminal in your-chatbot-project/ and run:

Bash
npm init -y
+npm install express @google/generative-ai dotenv
+

2. Create .env file

In your your-chatbot-project/ directory, create a file named .env and add your Gemini API key:

GEMINI_API_KEY=YOUR_GEMINI_API_KEY_HERE
+

Replace YOUR_GEMINI_API_KEY_HERE with your actual API key.

3. server.js (Backend Logic)

JavaScript
require('dotenv').config(); // Load environment variables from .env file
+const express = require('express');
+const { GoogleGenerativeAI } = require('@google/generative-ai');
+
+const app = express();
+const port = 3000;
+
+// Access your API key as an environment variable (best practice)
+const GEMINI_API_KEY = process.env.GEMINI_API_KEY;
+
+if (!GEMINI_API_KEY) {
+    console.error("GEMINI_API_KEY not found in .env file. Please set it.");
+    process.exit(1);
+}
+
+const genAI = new GoogleGenerativeAI(GEMINI_API_KEY);
+
+// Use the correct model for text generation
+const model = genAI.getGenerativeModel({ model: "gemini-pro" });
+
+app.use(express.json()); // To parse JSON request bodies
+app.use(express.static(__dirname)); // Serve static files (index.html, style.css, script.js)
+
+app.post('/chat', async (req, res) => {
+    const userMessage = req.body.message;
+
+    if (!userMessage) {
+        return res.status(400).json({ error: 'Message is required' });
+    }
+
+    try {
+        const result = await model.generateContent(userMessage);
+        const response = await result.response;
+        const text = response.text();
+        res.json({ response: text });
+    } catch (error) {
+        console.error('Error calling Gemini API:', error);
+        res.status(500).json({ error: 'Failed to get response from Gemini.' });
+    }
+});
+
+app.listen(port, () => {
+    console.log(`Server listening at http://localhost:${port}`);
+});
+

5. Run Your Chatbot

  1. Start the Backend Server: +Open your terminal in your-chatbot-project/ and run:

    Bash
    node server.js
+

    You should see "Server listening at http://localhost:3000".

  2. Open in Browser: +Open your web browser and go to http://localhost:3000.

You should now see your chatbot interface. Type a message, click "Send," and your message will be sent to your backend, which then communicates with the Gemini API, and the response will be displayed in your chat window.

Important Considerations

  • API Key Security: Reiterate: Never embed your Gemini API key directly in your client-side JavaScript. Always use a backend server to proxy your requests to the Gemini API. This prevents your API key from being exposed in the user's browser, which could lead to unauthorized usage and security breaches.

  • Rate Limits and Quotas: Be mindful of the API's rate limits and quotas. For production applications, you might need to consider pricing plans and optimize your API calls.

  • Error Handling: The example includes basic error handling, but for a robust application, you'll want more comprehensive error handling, including user-friendly messages and logging.

  • Chat History and Context: For a more natural conversational flow, you'll need to manage chat history. The Gemini API supports conversation history, so you would send the entire conversation (or a truncated version) with each new user prompt to maintain context. This would involve storing the messages on your backend or in a temporary session on the frontend and sending them with each API call.

  • Streaming Responses: The Gemini API supports streaming responses, which can provide a better user experience by displaying the AI's response as it's generated, rather than waiting for the entire response to be complete. You'd need to adapt your script.js and server.js to handle this.

  • Styling and UI/UX: The provided CSS is very basic. You can greatly enhance the user interface and user experience with more sophisticated CSS and JavaScript for animations, user feedback (e.g., "typing..." indicator), and responsiveness.

  • Deployment: For a production application, you would deploy your backend server (e.g., on platforms like Heroku, AWS, Google Cloud Run, Vercel) and serve your static HTML, CSS, and JavaScript files.

  • Alternative for Prototyping (Less Secure): While not recommended for production, for very basic prototyping and learning, you can use the Google Generative AI JavaScript SDK directly in your HTML/JS if you understand the security risks. However, you would still need to keep your API key out of direct client-side code, perhaps by loading it from an environment variable on a build step or by serving it from a very simple, controlled server endpoint. The best practice remains a dedicated backend.

This guide provides a solid foundation for building a Gemini-powered chatbot for your web project. Remember to prioritize security and user experience as you develop your application.

for now, can I only tell me how to embed the API key in html file

Please understand that directly embedding your API key in an HTML file is highly discouraged for security reasons. If your API key is exposed, malicious actors can use it, potentially incurring costs on your Google Cloud account or abusing the service.

However, for the sole purpose of a very basic, strictly local, and temporary development test, with the explicit understanding of the security risks, here's how you could technically embed it directly. You should never do this for any public-facing or production application.

HTML
<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Gemini API Test (Insecure - FOR LOCAL DEV ONLY)</title>
+    <script type="module">
+        // WARNING: This approach is INSECURE for production.
+        // Your API key will be visible to anyone viewing your page source.
+        const GEMINI_API_KEY = "YOUR_GEMINI_API_KEY_HERE"; // <<<--- Replace with your actual API Key
+
+        import { GoogleGenerativeAI } from "https://cdn.jsdelivr.net/npm/@google/generative-ai";
+
+        async function runGemini() {
+            if (!GEMINI_API_KEY || GEMINI_API_KEY === "YOUR_GEMINI_API_KEY_HERE") {
+                console.error("Please replace 'YOUR_GEMINI_API_KEY_HERE' with your actual Gemini API key.");
+                document.getElementById('output').innerText = "ERROR: API Key missing or not set. See console.";
+                return;
+            }
+
+            const genAI = new GoogleGenerativeAI(GEMINI_API_KEY);
+            const model = genAI.getGenerativeModel({ model: "gemini-pro" });
+
+            const prompt = "What is the capital of France?";
+
+            try {
+                const result = await model.generateContent(prompt);
+                const response = await result.response;
+                const text = response.text();
+                document.getElementById('output').innerText = "Gemini says: " + text;
+                console.log(text);
+            } catch (error) {
+                console.error("Error calling Gemini API:", error);
+                document.getElementById('output').innerText = "Error: " + error.message;
+            }
+        }
+
+        // Run the function when the page loads
+        document.addEventListener('DOMContentLoaded', runGemini);
+    </script>
+</head>
+<body>
+    <h1>Gemini API Direct Embedding Test</h1>
+    <p>This is for local development testing ONLY. Your API key is exposed in the source code.</p>
+    <div id="output">Loading Gemini response...</div>
+</body>
+</html>
+

How to use this (for local testing only):

  1. Replace YOUR_GEMINI_API_KEY_HERE: Get your actual Gemini API key from Google AI Studio and paste it where indicated in the script tag.

  2. Save the file: Save this code as an .html file (e.g., gemini_test.html).

  3. Open in browser: Open this HTML file directly in your web browser.

You should see the Gemini API response displayed on the page.

Why this is dangerous (and why you should avoid it for anything serious):

  • Publicly Exposed Key: Anyone who views the source code of your HTML page (which is trivial to do in a browser) will immediately see your API key.

  • Unauthorized Usage: With your API key, someone else could make calls to the Gemini API using your quota, potentially leading to unexpected charges on your Google Cloud account.

  • Abuse: Your key could be used for malicious purposes.

Again, for any real project, always use a secure backend server to handle your API keys and make API calls, as demonstrated in the previous, comprehensive answer.

This what I am getting :-

Gemini API Direct Embedding Test


This is for local development testing ONLY. Your API key is exposed in the source code.


Loading Gemini response...

The output "Loading Gemini response..." suggests that your HTML file is loading correctly, but the JavaScript code responsible for calling the Gemini API isn't successfully retrieving a response. This is a common issue when trying to directly embed API calls for a few reasons.

Let's break down the most likely causes and how to troubleshoot them in this temporary, local-only setup:

Most Common Reasons for "Loading Gemini response..." (without actual response):

  1. Incorrect API Key:

    • Is the key correct? Double-check that you've accurately copied and pasted your entire Gemini API key from Google AI Studio. Even a single missing character or an extra space can invalidate it.

    • Is it activated? Ensure your API key is active and associated with a Google Cloud project that has the Generative Language API enabled.

    • Billing Enabled (if applicable): While Gemini has a free tier, if you exceed it or use certain models, billing needs to be enabled on your Google Cloud project. Even if you're within the free tier, sometimes the API won't respond until billing is linked to the project.

  2. CDN Loading Issues:

    • The script uses https://cdn.jsdelivr.net/npm/@google/generative-ai. Your browser might be having trouble fetching this resource.

    • Check your browser's developer console (F12 or Cmd+Option+I): Look for network errors (red text in the "Console" or "Network" tab). You might see errors like "Failed to load resource," "CORS error," or "net::ERR_BLOCKED_BY_CLIENT."

    • Network/Firewall Restrictions: Are you on a network (e.g., corporate, school) that might be blocking external CDNs or Google services? Try a different network or device if possible.

  3. Cross-Origin Resource Sharing (CORS) Issues:

    • When you open an HTML file directly from your file system (e.g., file:///C:/Users/YourUser/Desktop/gemini_test.html), it's considered a file:// origin. Browsers have strict security policies (CORS) that prevent JavaScript running from a file:// origin from making HTTP requests to external domains (like Google's API endpoints) without explicit permission from the server. The Gemini API servers are not configured to allow requests from file:// origins for security reasons.

    • This is the MOST LIKELY reason you are stuck on "Loading..." when opening the file directly.

  4. Model Availability/Correctness:

    • gemini-pro is generally available. But confirm it hasn't been deprecated or if you accidentally typed a different model name. Refer to the official Gemini API documentation for current model names.

  5. Rate Limits:

    • If you've made many requests in a short period, you might have hit a rate limit. This is less likely if it's your first attempt, but keep it in mind.

How to Troubleshoot and Fix (for your current direct HTML embedding):

The most crucial step is to serve your HTML file via a simple local web server. This gets around the file:// CORS restriction.

Recommended Solution: Use a Simple Local Web Server (Python or Node.js)

Option 1: Python's Built-in HTTP Server (Simplest)

  1. Save your HTML file (e.g., gemini_test.html) in a folder.

  2. Open your terminal or command prompt.

  3. Navigate to that folder using cd path/to/your/folder.

  4. Run the Python HTTP server:

    • For Python 3: python -m http.server 8000

    • For Python 2: python -m SimpleHTTPServer 8000

  5. Open your browser and go to http://localhost:8000/gemini_test.html (or just http://localhost:8000 if your HTML file is named index.html in that directory).

Option 2: Node.js http-server (if you have Node.js installed)

  1. Install http-server globally (if you haven't already):

    Bash
    npm install -g http-server
+

  2. Save your HTML file in a folder.

  3. Open your terminal or command prompt.

  4. Navigate to that folder.

  5. Run the server:

    Bash
    http-server
+

  6. It will usually tell you which URL to open (e.g., http://127.0.0.1:8080).

After starting a local server and opening the page through http://localhost:..., check your browser's developer console again. You should now get past the CORS issue.

Further Debugging Steps if it's Still "Loading..."

  1. Check Developer Console (Crucial!):

    • Right-click on your webpage and select "Inspect" or "Developer Tools."

    • Go to the "Console" tab. Look for any red error messages.

    • Go to the "Network" tab. Reload the page. Look for the API request to Google's endpoint (it might be generativelanguage.googleapis.com). Check its "Status" code.

      • 200 OK: Request was successful, problem might be with parsing the response or displaying it.

      • 400 Bad Request: Problem with your prompt or request parameters.

      • 401 Unauthorized / 403 Forbidden: API key issue (incorrect, revoked, insufficient permissions). This is very common.

      • 429 Too Many Requests: Rate limit exceeded.

      • 5xx Server Error: Problem on Google's side (less common for basic requests).

  2. Verify API Key (Again):

    • Even after using a server, a truly invalid key will result in 401 or 403 errors. Double-triple check it. Make sure there are no leading/trailing spaces when you copy-paste it.

  3. Simplify the Prompt/Model:

    • Try a simpler prompt like just "hello".

    • Ensure gemini-pro is the correct and available model name.

By serving the HTML file through a local web server, you'll eliminate the most common hurdle (file:// CORS issues) for these direct API calls. Then, the browser's developer console will provide much more specific error messages if the issue persists.

Uncaught SyntaxError: The requested module 'https://cdn.jsdelivr.net/npm/@google/generative-ai' doesn't provide an export named: 'GoogleGenerativeAI'

You've hit a common JavaScript module import error! This means the way you're trying to import GoogleGenerativeAI from the CDN isn't matching how that library exposes its components.

The error message: +Uncaught SyntaxError: The requested module 'https://cdn.jsdelivr.net/npm/@google/generative-ai' doesn't provide an export named: 'GoogleGenerativeAI'

Indicates that while the module itself is loading, it's not exporting GoogleGenerativeAI as a named export. Instead, it's likely exporting it as a default export.

The Fix: Change how you import GoogleGenerativeAI

Instead of:

JavaScript
import { GoogleGenerativeAI } from "https://cdn.jsdelivr.net/npm/@google/generative-ai";
+

You need to use:

JavaScript
import { GoogleGenerativeAI } from "https://cdn.jsdelivr.net/npm/@google/generative-ai@latest/dist/index.js";
+

Why this change?

  1. Default Export: The @google/generative-ai library, when used directly in a browser via a CDN, often provides its main class as a default export. When you import a default export, you don't use curly braces {}.

  2. Explicit Path to index.js: Sometimes, CDNs need a more explicit path to the actual JavaScript file that contains the exports. dist/index.js is the common location for the main bundled file in many libraries.

  3. @latest: Using @latest ensures you're getting the most up-to-date version of the library.

Updated Insecure Local Test HTML File:

Here's the corrected HTML file with the import statement changed:

HTML
<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Gemini API Test (Insecure - FOR LOCAL DEV ONLY)</title>
+    <script type="module">
+        // WARNING: This approach is INSECURE for production.
+        // Your API key will be visible to anyone viewing your page source.
+        const GEMINI_API_KEY = "YOUR_GEMINI_API_KEY_HERE"; // <<<--- Replace with your actual API Key
+
+        // CORRECTED IMPORT STATEMENT:
+        import { GoogleGenerativeAI } from "https://cdn.jsdelivr.net/npm/@google/generative-ai@latest/dist/index.js";
+
+        async function runGemini() {
+            if (!GEMINI_API_KEY || GEMINI_API_KEY === "YOUR_GEMINI_API_KEY_HERE") {
+                console.error("Please replace 'YOUR_GEMINI_API_KEY_HERE' with your actual Gemini API key.");
+                document.getElementById('output').innerText = "ERROR: API Key missing or not set. See console.";
+                return;
+            }
+
+            const genAI = new GoogleGenerativeAI(GEMINI_API_KEY);
+            // Ensure you are using a model that supports text-only input for generateContent
+            // For general text, 'gemini-pro' is usually the right choice.
+            const model = genAI.getGenerativeModel({ model: "gemini-pro" }); 
+
+            const prompt = "What is the capital of France?";
+
+            try {
+                const result = await model.generateContent(prompt);
+                const response = await result.response;
+                const text = response.text();
+                document.getElementById('output').innerText = "Gemini says: " + text;
+                console.log(text);
+            } catch (error) {
+                console.error("Error calling Gemini API:", error);
+                document.getElementById('output').innerText = "Error: " + error.message;
+            }
+        }
+
+        // Run the function when the page loads
+        document.addEventListener('DOMContentLoaded', runGemini);
+    </script>
+</head>
+<body>
+    <h1>Gemini API Direct Embedding Test</h1>
+    <p>This is for local development testing ONLY. Your API key is exposed in the source code.</p>
+    <div id="output">Loading Gemini response...</div>
+</body>
+</html>
+

Remember:

  • Replace YOUR_GEMINI_API_KEY_HERE with your actual key.

  • Use a local web server (Python's http.server or Node's http-server) to serve this file to avoid CORS issues with file:// URLs. If you skip this, you'll likely encounter new network errors related to cross-origin requests.

After making this change and serving the file correctly, you should now see the "Gemini says: Paris" or a similar response.

You are absolutely correct to point out that the error persists! My apologies for the oversight. The @google/generative-ai library, when directly used via a CDN in a browser, usually exposes its main class not through a named export like GoogleGenerativeAI, but as a default export.

This means we need to change the import syntax slightly.

The Problem: Named Export vs. Default Export

The error doesn't provide an export named: 'GoogleGenerativeAI' means the CDN version of the module isn't set up to be imported with curly braces {} around GoogleGenerativeAI. It's likely intended to be imported as the main, "default" thing that the module exports.

Step-by-Step Resolution

Step 1: Understand the Correct Import for Browser CDN Usage

For the @google/generative-ai library when used directly in a browser via a CDN, the correct way to import GoogleGenerativeAI is typically as a default import.

This looks like:

JavaScript
import GoogleGenerativeAI from "https://cdn.jsdelivr.net/npm/@google/generative-ai@latest/dist/index.js";
+// Notice: NO curly braces around GoogleGenerativeAI
+

Step 2: Update Your HTML File

Modify the <script type="module"> section in your gemini_test.html file to use this corrected import statement.

Here's the full updated HTML code:

HTML
<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Gemini API Test (Insecure - FOR LOCAL DEV ONLY)</title>
+    <script type="module">
+        // WARNING: This approach is INSECURE for production.
+        // Your API key will be visible to anyone viewing your page source.
+        const GEMINI_API_KEY = "YOUR_GEMINI_API_KEY_HERE"; // <<<--- Replace with your actual API Key
+
+        // **CORRECTED IMPORT STATEMENT for default export:**
+        import GoogleGenerativeAI from "https://cdn.jsdelivr.net/npm/@google/generative-ai@latest/dist/index.js";
+
+        async function runGemini() {
+            if (!GEMINI_API_KEY || GEMINI_API_KEY === "YOUR_GEMINI_API_KEY_HERE") {
+                console.error("Please replace 'YOUR_GEMINI_API_KEY_HERE' with your actual Gemini API key.");
+                document.getElementById('output').innerText = "ERROR: API Key missing or not set. See console.";
+                return;
+            }
+
+            // Initialize the Generative AI client
+            const genAI = new GoogleGenerativeAI(GEMINI_API_KEY);
+            
+            // Choose the model (e.g., "gemini-pro" for text-only, "gemini-pro-vision" for multimodal)
+            const model = genAI.getGenerativeModel({ model: "gemini-pro" });
+
+            const prompt = "What is the capital of France?";
+
+            try {
+                // Generate content from the model
+                const result = await model.generateContent(prompt);
+                const response = await result.response;
+                const text = response.text(); // Extract the text from the response
+
+                // Display the result on the page
+                document.getElementById('output').innerText = "Gemini says: " + text;
+                console.log("Gemini response:", text);
+
+            } catch (error) {
+                console.error("Error calling Gemini API:", error);
+                document.getElementById('output').innerText = "Error: " + error.message + ". Check console for details.";
+            }
+        }
+
+        // Run the function when the page loads
+        document.addEventListener('DOMContentLoaded', runGemini);
+    </script>
+</head>
+<body>
+    <h1>Gemini API Direct Embedding Test</h1>
+    <p>This is for local development testing ONLY. Your API key is exposed in the source code.</p>
+    <div id="output">Loading Gemini response...</div>
+</body>
+</html>
+

Step 3: Replace Your API Key

Make sure you replace "YOUR_GEMINI_API_KEY_HERE" with your actual, valid Gemini API key obtained from Google AI Studio.

Step 4: Serve the HTML File with a Local Web Server

As discussed before, you must serve this HTML file using a local web server (like Python's http.server or Node.js http-server) to avoid browser CORS (Cross-Origin Resource Sharing) security restrictions when JavaScript tries to fetch external resources like the Gemini API.

To recap how to start a simple Python server:

  1. Save the updated HTML file (e.g., gemini_test.html) in a folder.

  2. Open your terminal or command prompt.

  3. Navigate to that folder using cd path/to/your/folder.

  4. Run the Python HTTP server: python -m http.server 8000

  5. Open your web browser and go to http://localhost:8000/gemini_test.html.

Step 5: Check Your Browser's Developer Console (Again!)

After performing these steps, open your browser's developer tools (usually by pressing F12 or Ctrl+Shift+I / Cmd+Option+I). Go to the "Console" tab and the "Network" tab.

  • If successful, you should see "Gemini says: Paris" (or a similar answer) on the page and in the console.

  • If there's still an issue, the console will likely give you a different, more specific error related to network requests (e.g., 401 Unauthorized for a bad API key, or other connection issues).

This corrected import statement should resolve the "doesn't provide an export named" error. Good luck!

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Gemini can make mistakes, so double-check it