For interacting with the bot, there\\'s an inputSession section. It contains a field where users can type their message and an option to preview any image they select before sending it. The image upload button is represented by an icon, and users can select an image from their device. After the message or image is ready, they can send it by clicking the \\\"Send\\\" button.

Additionally, a modal (pop-up window) is included, which allows users to view images in a larger format. The structure also links external CSS styles and Bootstrap for easier formatting and design, making the page responsive and visually appealing.

• Styling with CSS

body {    background-color: #f5f5f5;    font-family: \\'Arial\\', sans-serif;    margin: 0;    padding: 0;    display: flex;    justify-content: center;    align-items: center;    height: 100vh;}/* ChatBot container */.container.chatBot {    background-color: #ffffff;    width: 50%;    max-width: 600px;    border-radius: 8px;    box-shadow: 0px 4px 10px rgba(0, 0, 0, 0.1);    display: flex;    flex-direction: column;    justify-content: space-between;    padding: 20px;    position: relative;}/* Header styling */.header {    font-size: 24px;    color: #333;    text-align: center;    margin-bottom: 15px;}/* Chat history styling */.chatHistory {    height: 300px;    overflow-y: auto;    padding: 10px;    background-color: #f1f1f1;    border-radius: 8px;    border: 1px solid #ddd;    margin-bottom: 20px;}.chatHistory::-webkit-scrollbar {    width: 8px;}.chatHistory::-webkit-scrollbar-thumb {    background-color: #ccc;    border-radius: 4px;}/* Input session styling */.inputSession {    display: flex;    align-items: center;    padding: 10px;    background-color: #f1f1f1;    border-radius: 8px;    border: 1px solid #ddd;    justify-content: space-between;}/* Input field styling */#textInput {    width: 80%;    padding: 10px;    border: none;    border-radius: 8px;    background-color: #fff;    box-shadow: 0px 2px 4px rgba(0, 0, 0, 0.1);    margin-right: 10px;    font-size: 16px;    flex-grow: 1;     border: 1px solid #ddd;    border-radius: 4px;    padding: 8px;    margin-right: 10px;     width: 100%;}/* Button for sending messages */#btnSend {    color: #fff;    border: none;    border-radius: 50%;    width: 50px;    height: 50px;    display: flex;    align-items: center;    justify-content: center;    cursor: pointer;    font-size: 20px;    transition: background-color 0.3s;}#btnSend:hover {    background-color: #363e47;}/* Image preview styling */.imagePreview {    display: flex;    align-items: center;    flex-grow: 1;    margin-bottom: 10px;}#previewImage {    max-width: 80px;    max-height: 80px;    border-radius: 5px;    margin-right: 10px;    object-fit: cover;    margin-right: 10px;}/* Label for file input */label[for=\\\"imageInput\\\"] {    color: #fff;    border-radius: 50%;    width: 50px;    height: 50px;    display: flex;    align-items: center;    justify-content: center;    font-size: 20px;    cursor: pointer;    margin-right: 10px;}label[for=\\\"imageInput\\\"]:hover {    background-color: #363e47;}/* Styling for user messages */.userMessage {    display: flex;    align-items: flex-start;    margin-bottom: 10px;    padding: 10px;    background-color: #e9ecef;    border-radius: 8px;    border: 1px solid #ddd;    max-width: 100%;}/* Container for image and text */.messageContent {    display: flex;    flex-direction: column;    align-items: flex-start;}/* Styling for images within user messages */.userMessage img {    max-width: 100px;     max-height: 100px;     border-radius: 5px;    margin-bottom: 5px;     object-fit: cover;}/* Styling for text within user messages */.userMessage .text {    text-align: left;}/* Modal styling */.modal {    display: none;     position: fixed;     z-index: 1000;     left: 0;    top: 0;    width: 100%;    height: 100%;    overflow: auto;     background-color: rgb(0,0,0);     background-color: rgba(0,0,0,0.8); }.modal-content {    margin: auto;    display: block;    width: 80%;    max-width: 700px;}.close {    position: absolute;    top: 15px;    right: 35px;    color: #f1f1f1;    font-size: 40px;    font-weight: bold;}.close:hover,.close:focus {    color: #bbb;    text-decoration: none;    cursor: pointer;}

This CSS provides a clean, responsive design for a chatbot interface. It uses flexbox for layout, giving the container, header, and input session flexibility. The styling ensures a user-friendly experience with smooth transitions, scrollable chat history, and a modern look with rounded corners and shadows, enhancing visual appeal and usability.

4.2 Implementing Chatbot Functionalities

4.1 Frontend

Here the .inputSession div includes an input field for text (#textInput), an image preview (#previewImage), a hidden file input for images (#imageInput), and a button to send messages (#btnSend). The .chatHistory div is where chat messages and responses will appear. The image input allows users to select an image file, which is previewed before sending. The text input field lets users type messages, and the send button triggers the process to handle both text and image inputs.

const btnSend = document.getElementById(\\\"btnSend\\\");const imageInput = document.getElementById(\\\"imageInput\\\");const textInput = document.getElementById(\\\"textInput\\\");const previewImage = document.getElementById(\\\"previewImage\\\");const chatHistory = document.getElementById(\\\"chatHistory\\\");// Modal elementsconst modal = document.getElementById(\\\"imageModal\\\");const modalImage = document.getElementById(\\\"modalImage\\\");const closeModal = document.querySelector(\\\".close\\\");// Function to preview the image when selectedimageInput.addEventListener(\\\"change\\\", function () {  const file = imageInput.files[0];  if (file) {    const reader = new FileReader();    reader.onload = function (e) {      previewImage.src = e.target.result; // Preview the image    };    reader.readAsDataURL(file); // Read the file as a data URL  }});// Function to send the image and textbtnSend.addEventListener(\\\"click\\\", async function (e) {  e.preventDefault();  const text = textInput.value.trim();  const file = imageInput.files[0];  // Clear inputs  textInput.value = \\\"\\\";  previewImage.src = \\\"\\\";  imageInput.value = null;  // Append the image and message to the chat immediately on the UI  if (file) {    addMessageToChatHistory(URL.createObjectURL(file), text, \\\"userMessage\\\");  } else if (text) {    addMessageToChatHistory(null, text, \\\"userMessage\\\");  }  // Send the image and text to the backend  if (file || text) {    const formData = new FormData();    if (file) formData.append(\\\"image\\\", file);    if (text) formData.append(\\\"message\\\", text);    try {      const response = await fetch(\\'http://localhost:3001/api/upload\\', {        method: \\'POST\\',        body: formData      });      if (!response.ok) {        throw new Error(\\'Failed to send image to the server.\\');      }      const data = await response.json();      // Display the bot\\'s message (response) based on the image      addMessageToChatHistory(null, data.reply, \\\"botMessage\\\");    } catch (error) {      console.error(\\'Error sending image or text:\\', error);      addMessageToChatHistory(null, \\'Error sending data. Please try again.\\', \\\"errorMessage\\\");    }  }});function addMessageToChatHistory(imageSrc, text, className) {  const messageContainer = document.createElement(\\\"div\\\");  messageContainer.classList.add(className);  if (imageSrc) {    const imageElement = document.createElement(\\\"img\\\");    imageElement.src = imageSrc;    imageElement.classList.add(\\\"previewed-image\\\");    messageContainer.appendChild(imageElement);  }  if (text) {    const textContainer = document.createElement(\\\"div\\\");    textContainer.classList.add(\\\"text\\\");    textContainer.textContent = text;    messageContainer.appendChild(textContainer);  }  chatHistory.appendChild(messageContainer);  chatHistory.scrollTop = chatHistory.scrollHeight; // Auto-scroll to the bottom of the chat}closeModal.addEventListener(\\\"click\\\", function (e) {  e.preventDefault();  modal.style.display = \\\"none\\\";});window.addEventListener(\\\"click\\\", function (e) {  if (e.target === modal) {    modal.style.display = \\\"none\\\";  }});textInput.addEventListener(\\\"keydown\\\", (e) => {  if (e.key === \\\"Enter\\\") {    btnSend.click();  }});

• Element Selection

const btnSend = document.getElementById(\\\"btnSend\\\");const imageInput = document.getElementById(\\\"imageInput\\\");const textInput = document.getElementById(\\\"textInput\\\");const previewImage = document.getElementById(\\\"previewImage\\\");const chatHistory = document.getElementById(\\\"chatHistory\\\");

This section selects key HTML elements that will be used throughout the script. btnSend is the button used to send messages, imageInput is the input field for uploading images, textInput is where the user types their message, previewImage shows a preview of the selected image, and chatHistory is the area where the conversation is displayed.

• Modal Elements

const modal = document.getElementById(\\\"imageModal\\\");const modalImage = document.getElementById(\\\"modalImage\\\");const closeModal = document.querySelector(\\\".close\\\");

These variables handle the modal functionality. The modal displays larger versions of images, with modal representing the modal container, modalImage for the image inside the modal, and closeModal for the button to close the modal.

• Image Preview

imageInput.addEventListener(\\\"change\\\", function () {  const file = imageInput.files[0];  if (file) {    const reader = new FileReader();    reader.onload = function (e) {      previewImage.src = e.target.result; // Preview the image    };    reader.readAsDataURL(file); // Read the file as a data URL  }});

When a user selects an image file using imageInput, this event listener triggers. It uses a FileReader to read the image file and set the previewImage source to the result. This allows the user to see a preview of the image before sending it.

• Send Image and Text

btnSend.addEventListener(\\\"click\\\", async function (e) {  e.preventDefault();  const text = textInput.value.trim();  const file = imageInput.files[0];  // Clear inputs  textInput.value = \\\"\\\";  previewImage.src = \\\"\\\";  imageInput.value = null;  // Append the image and message to the chat immediately on the UI  if (file) {    addMessageToChatHistory(URL.createObjectURL(file), text, \\\"userMessage\\\");  } else if (text) {    addMessageToChatHistory(null, text, \\\"userMessage\\\");  }  // Send the image and text to the backend  if (file || text) {    const formData = new FormData();    if (file) formData.append(\\\"image\\\", file);    if (text) formData.append(\\\"message\\\", text);    try {      const response = await fetch(\\'http://localhost:3001/api/upload\\', {        method: \\'POST\\',        body: formData      });      if (!response.ok) {        throw new Error(\\'Failed to send image to the server.\\');      }      const data = await response.json();      // Display the bot\\'s message (response) based on the image      addMessageToChatHistory(null, data.reply, \\\"botMessage\\\");    } catch (error) {      console.error(\\'Error sending image or text:\\', error);      addMessageToChatHistory(null, \\'Error sending data. Please try again.\\', \\\"errorMessage\\\");    }  }});

This code handles the click event of the btnSend button. It prevents the default action, retrieves and clears the text and image inputs, then appends the message or image to the chat history immediately. It creates a FormData object to hold the image and text, which is then sent to the server using the Fetch API. If the server responds successfully, it updates the chat history with the response from the server. If there’s an error, it logs the issue and shows an error message in the chat.

• Add Message to Chat History

function addMessageToChatHistory(imageSrc, text, className) {  const messageContainer = document.createElement(\\\"div\\\");  messageContainer.classList.add(className);  if (imageSrc) {    const imageElement = document.createElement(\\\"img\\\");    imageElement.src = imageSrc;    imageElement.classList.add(\\\"previewed-image\\\");    messageContainer.appendChild(imageElement);  }  if (text) {    const textContainer = document.createElement(\\\"div\\\");    textContainer.classList.add(\\\"text\\\");    textContainer.textContent = text;    messageContainer.appendChild(textContainer);  }  chatHistory.appendChild(messageContainer);  chatHistory.scrollTop = chatHistory.scrollHeight; // Auto-scroll to the bottom of the chat}

This function dynamically adds a message to the chat history. It creates a div container for the message, which can include an image or text. The image is added if imageSrc is provided, and text is added if text is provided. The chat history is updated with this new message, and the view automatically scrolls to show the latest message.

• Modal Handling

closeModal.addEventListener(\\\"click\\\", function (e) {  e.preventDefault();  modal.style.display = \\\"none\\\";});window.addEventListener(\\\"click\\\", function (e) {  if (e.target === modal) {    modal.style.display = \\\"none\\\";  }});

These event listeners manage the modal for viewing larger images. Clicking the close button or outside the modal hides it by setting modal.style.display to \\\"none\\\".

• Send Message on Enter Key Press

textInput.addEventListener(\\\"keydown\\\", (e) => {  if (e.key === \\\"Enter\\\") {    btnSend.click();  }});

This listener allows the user to send a message by pressing the Enter key, mimicking the action of clicking the send button.

const btnSend = document.getElementById(\\\"btnSend\\\");const imageInput = document.getElementById(\\\"imageInput\\\");const textInput = document.getElementById(\\\"textInput\\\");const previewImage = document.getElementById(\\\"previewImage\\\");const chatHistory = document.getElementById(\\\"chatHistory\\\");// Modal elementsconst modal = document.getElementById(\\\"imageModal\\\");const modalImage = document.getElementById(\\\"modalImage\\\");const closeModal = document.querySelector(\\\".close\\\");// Function to preview the image when selectedimageInput.addEventListener(\\\"change\\\", function () {  const file = imageInput.files[0];  if (file) {    const reader = new FileReader();    reader.onload = function (e) {      previewImage.src = e.target.result; // Preview the image    };    reader.readAsDataURL(file); // Read the file as a data URL  }});// Function to send the image and textbtnSend.addEventListener(\\\"click\\\", async function (e) {  e.preventDefault();  const text = textInput.value.trim();  const file = imageInput.files[0];  // Clear inputs  textInput.value = \\\"\\\";  previewImage.src = \\\"\\\";  imageInput.value = null;  // Append the image and message to the chat immediately on the UI  if (file) {    addMessageToChatHistory(URL.createObjectURL(file), text, \\\"userMessage\\\");  } else if (text) {    addMessageToChatHistory(null, text, \\\"userMessage\\\");  }  // Send the image and text to the backend  if (file || text) {    const formData = new FormData();    if (file) formData.append(\\\"image\\\", file);    if (text) formData.append(\\\"message\\\", text);    try {      const response = await fetch(\\'http://localhost:3001/api/upload\\', {        method: \\'POST\\',        body: formData      });      if (!response.ok) {        throw new Error(\\'Failed to send image to the server.\\');      }      const data = await response.json();      // Display the bot\\'s message (response) based on the image      addMessageToChatHistory(null, data.reply, \\\"botMessage\\\");    } catch (error) {      console.error(\\'Error sending image or text:\\', error);      addMessageToChatHistory(null, \\'Error sending data. Please try again.\\', \\\"errorMessage\\\");    }  }});function addMessageToChatHistory(imageSrc, text, className) {  const messageContainer = document.createElement(\\\"div\\\");  messageContainer.classList.add(className);  if (imageSrc) {    const imageElement = document.createElement(\\\"img\\\");    imageElement.src = imageSrc;    imageElement.classList.add(\\\"previewed-image\\\");    messageContainer.appendChild(imageElement);  }  if (text) {    const textContainer = document.createElement(\\\"div\\\");    textContainer.classList.add(\\\"text\\\");    textContainer.textContent = text;    messageContainer.appendChild(textContainer);  }  chatHistory.appendChild(messageContainer);  chatHistory.scrollTop = chatHistory.scrollHeight; // Auto-scroll to the bottom of the chat}closeModal.addEventListener(\\\"click\\\", function (e) {  e.preventDefault();  modal.style.display = \\\"none\\\";});window.addEventListener(\\\"click\\\", function (e) {  if (e.target === modal) {    modal.style.display = \\\"none\\\";  }});textInput.addEventListener(\\\"keydown\\\", (e) => {  if (e.key === \\\"Enter\\\") {    btnSend.click();  }});

4.2 Backend (server)

• Importing dependencies

const express = require(\\\"express\\\");const bodyParser = require(\\\"body-parser\\\");const cors = require(\\\"cors\\\");  // Enable CORSconst dotenv = require(\\\"dotenv\\\");const multer = require(\\\"multer\\\");const { GoogleGenerativeAI } = require(\\\"@google/generative-ai\\\");const { GoogleAIFileManager } = require(\\\"@google/generative-ai/server\\\");

These dependencies were explained above, where we were setting up our environment. You can scroll up to get their uses to better understand why we are using them.

• Configuring Environment Variables

dotenv.config();const apiKey = process.env.GEMINI_API_KEY;const genAI = new GoogleGenerativeAI(apiKey);const fileManager = new GoogleAIFileManager(apiKey);

• dotenv.config(): Loads environment variables from the .env file.
• apiKey: Retrieves the API key from environment variables to authenticate requests to the Google Generative AI API.
• genAI: Initializes the GoogleGenerativeAI instance with the API key.

• fileManager: Initializes the GoogleAIFileManager instance with the same API key for handling file uploads.

• Setting Up AI Model and Configuration
  

const model = genAI.getGenerativeModel({  model: \\\"gemini-1.5-pro\\\",});const generationConfig = {  temperature: 1,  topP: 0.95,  topK: 64,  maxOutputTokens: 8192,  responseMimeType: \\\"text/plain\\\",};

• model: Configures and initializes the generative model (Gemini 1.5 Pro) from Google AI, specifying which model to use for generating responses.

• generationConfig: Defines parameters for generating responses, including temperature (controls creativity), topP and topK (control the diversity of responses), and maxOutputTokens (maximum length of the response).

• Configuring Multer for File Uploads
  

const storage = multer.diskStorage({  destination: (req, file, cb) => {    cb(null, \\'uploads/\\'); // Define where the files should be stored  },  filename: (req, file, cb) => {    cb(null, Date.now()   \\'-\\'   file.originalname); // Rename the file to avoid duplicates  }});const upload = multer({ storage: storage });

• multer.diskStorage(): Configures how files are stored.
• destination: Specifies the directory (uploads/) where files should be saved.
• filename: Renames the file by appending the current timestamp to ensure uniqueness.

• upload: Creates a Multer instance with the defined storage configuration.

• Uploading Files to Gemini
  

async function uploadToGemini(path, mimeType) {  const uploadResult = await fileManager.uploadFile(path, {    mimeType,    displayName: path,  });  const file = uploadResult.file;  console.log(`Uploaded file ${file.displayName} as: ${file.name}`);  return file;}

• uploadToGemini(): A function to upload a file to the Google Gemini API.
• fileManager.uploadFile(): Uploads the file to the API and logs the result.

• file: Contains the details of the uploaded file returned from the API.

• Configuring Express and Middleware
  

const app = express();const port = 3001;app.use(cors());  // Enable CORSapp.use(bodyParser.json());app.use(bodyParser.urlencoded({ extended: true }));// Serve static files (HTML, CSS, JS)app.use(express.static(\\\"public\\\"));

• app: Initializes an Express application.
• port: Sets the port on which the server will listen (3001).
• app.use(cors()): Enables CORS for the server.
• app.use(bodyParser.json()): Parses JSON bodies.
• app.use(bodyParser.urlencoded({ extended: true })): Parses URL-- encoded bodies.

• app.use(express.static(\\\"public\\\")): Serves static files like HTML, CSS, and JS from the public directory.

• API Endpoint for Handling Image and Text
  

app.post(\\\"/api/upload\\\", upload.single(\\\"image\\\"), async (req, res, next) => {  try {    const { message } = req.body;    const imagePath = req.file ? req.file.path : null;    let generatedText = \\\"\\\";    if (imagePath) {      const files = [        await uploadToGemini(imagePath, \\\"image/jpeg\\\"),      ];      const chatSession = model.startChat({        generationConfig,        history: [          {            role: \\\"user\\\",            parts: [              {                fileData: {                  mimeType: files[0].mimeType,                  fileUri: files[0].uri,                },              },            ],          },        ],      });      const result = await chatSession.sendMessage(message);      res.status(200).json({ reply: result.response.text() });      next(message);    }    if (message) {      const chatSession = model.startChat({        generationConfig,        history: [],      });      const result = await chatSession.sendMessage(message);      const aiResponse = result.response.text();      res.status(200).json({ reply: aiResponse });    }    if (!imagePath && !message) {      return res.status(400).json({ error: \\\"No image or text provided\\\" });    }    res.json({ reply: generatedText });  } catch (error) {    console.error(\\\"Error processing image or text:\\\", error);    res.status(500).json({ error: \\\"Internal Server Error\\\" });  }});

• app.post(\\\"/api/upload\\\"): Defines a POST endpoint for handling file and text uploads.
• upload.single(\\\"image\\\"): Middleware to handle single file upload (named image).
• req.body: Contains the text message.
• req.file: Contains the uploaded image file.
• uploadToGemini(): Uploads the image to the Gemini API.
• model.startChat(): Starts a chat session with the model.
• chatSession.sendMessage(message): Sends the message (and image if provided) to the model.
• res.status(200).json({ reply: result.response.text() }): Sends the generated response back to the client.
• res.status(400): Handles cases where neither image nor text is provided.

• res.status(500): Handles server errors.

• Starting the Server
  

app.listen(port, () => {  console.log(`Server running at http://localhost:${port}`);});

• app.listen(port): Starts the server and listens on the specified port (3001).
• console.log: Confirms that the server is running and accessible at http://localhost:3001.

Sure, let’s go through the API endpoint for handling image and text in detail, from start to finish, in paragraph form.

The endpoint for handling image and text uploads is defined with app.post(\\\"/api/upload\\\", upload.single(\\\"image\\\"), async (req, res, next) => { ... }). This code sets up a POST request handler at the /api/upload route. The upload.single(\\\"image\\\") middleware, provided by Multer, is used to handle file uploads. It processes a single file upload where the form field name is image.

When a request is made to this endpoint, the middleware extracts the uploaded file from the request and saves it to a predefined location on the server. If a file is uploaded, its path can be accessed via req.file.path, and any accompanying text sent in the form is available through req.body.message.

The handler first checks if an image file was provided by examining req.file. If an image is present, the server uploads this file to the Google Gemini API using the uploadToGemini() function. This function takes the file path and MIME type as arguments, uploads the file, and returns a file object containing details like the file\\'s URI. This uploaded file’s details are then used to create a new chat session with the generative AI model. The image is sent as part of the chat history to the model, which is configured with parameters defined in generationConfig. The model processes the image and any accompanying message, generating a response. The response text is then sent back to the client with a status of 200, indicating successful processing.

If no image is provided but a text message is included, the server handles this by starting a new chat session with the AI model using just the text message. The text is sent to the AI model, and its response is sent back to the client in the same manner.

In cases where neither an image nor a text message is provided, the server responds with a 400 status code and an error message indicating that neither image nor text was provided.

If an error occurs during any part of the process, such as while uploading the file or communicating with the AI model, the server catches this error and responds with a 500 status code, indicating an internal server error. This approach ensures that the server robustly handles various scenarios involving text and image inputs, providing appropriate feedback and responses to the client.

const express = require(\\\"express\\\");const bodyParser = require(\\\"body-parser\\\");const cors = require(\\\"cors\\\");  // Enable CORSconst dotenv = require(\\\"dotenv\\\");const multer = require(\\\"multer\\\");const { GoogleGenerativeAI } = require(\\\"@google/generative-ai\\\");const { GoogleAIFileManager } = require(\\\"@google/generative-ai/server\\\");dotenv.config();const apiKey = process.env.GEMINI_API_KEY;const genAI = new GoogleGenerativeAI(apiKey);const fileManager = new GoogleAIFileManager(apiKey);const model = genAI.getGenerativeModel({  model: \\\"gemini-1.5-pro\\\",});const generationConfig = {  temperature: 1,  topP: 0.95,  topK: 64,  maxOutputTokens: 8192,  responseMimeType: \\\"text/plain\\\",};const app = express();const port = 3001;// Setup multer for file uploadsconst storage = multer.diskStorage({  destination: (req, file, cb) => {    cb(null, \\'uploads/\\'); // Define where the files should be stored  },  filename: (req, file, cb) => {    cb(null, Date.now()   \\'-\\'   file.originalname); // Rename the file to avoid duplicates  }});const upload = multer({ storage: storage });/** * Uploads the given file to Gemini. * * See https://ai.google.dev/gemini-api/docs/prompting_with_media */async function uploadToGemini(path, mimeType) {  const uploadResult = await fileManager.uploadFile(path, {    mimeType,    displayName: path,  });  const file = uploadResult.file;  console.log(`Uploaded file ${file.displayName} as: ${file.name}`);  return file;}app.use(cors());  // Enable CORSapp.use(bodyParser.json());app.use(bodyParser.urlencoded({ extended: true }));// Serve static files (HTML, CSS, JS)app.use(express.static(\\\"public\\\"));// API endpoint for generating a responseapp.post(\\\"/api/upload\\\", upload.single(\\\"image\\\"), async (req, res, next) => {  // console.log(\\\"api/upload\\\");  try {    const { message } = req.body; // This is the accompanying text (if any)    const imagePath = req.file ? req.file.path : null; // This is the image (if any)    let generatedText = \\\"\\\";    console.log(\\\"after generatedText \\\"    generatedText);    // Check if an image is provided and send the image URL to the Gemini API    if (imagePath) {      console.log(imagePath);      const files = [        await uploadToGemini(imagePath, \\\"image/jpeg\\\"),      ];      console.log(files);      const chatSession = model.startChat({        generationConfig,        history: [          {            role: \\\"user\\\",            parts: [              {                fileData: {                  mimeType: files[0].mimeType,                  fileUri: files[0].uri,                },              },            ],          },        ],      });      const result = await chatSession.sendMessage(message);      console.log(result.response.text() );      res.status(200).json({ reply: result.response.text() });      next(message);      // Extract the AI\\'s response related to the image      // const imageAIResponse = imageResult?.candidates?.[0]?.content || \\\"Could not analyze the image.\\\";      // console.log(\\\"after imageAIResponse\\\");      // generatedText  = `Image Analysis: ${imageAIResponse}`;      // console.log(\\\"after generatedText \\\"    generatedText);    }    // Handle the accompanying text and send it to the Gemini API    if (message) {      const chatSession = model.startChat({        generationConfig,        history: [],      });      const result = await chatSession.sendMessage(message);      console.log(result.response.candidates);      console.log(result.response.text());      // Extract the AI\\'s generated response      const aiResponse = result.response.text()//result?.response.candidates?.[0]?.content || \\\"Could not generate a response.\\\";      res.status(200).json({ reply: aiResponse });    }    // If neither image nor text is provided, return an error    if (!imagePath && !message) {      return res.status(400).json({ error: \\\"No image or text provided\\\" });    }    // Send the generated text or description back to the frontend    res.json({ reply: generatedText });  } catch (error) {    console.error(\\\"Error processing image or text:\\\", error);    res.status(500).json({ error: \\\"Internal Server Error\\\" });  }});// Start the serverapp.listen(port, () => {  console.log(`Server running at http://localhost:${port}`);});

• Removing markdown
  In the chat application, I used the Marked library to convert Markdown text into HTML for bot messages by including . When the bot sends a message, the code checks the class name and applies textContainer.innerHTML = marked.parse(text); to render Markdown as HTML. For user messages, I used textContainer.textContent = text; to display plain text, ensuring clarity in interactions.

• Markdown Text

• After markdown has been removed

5. Testing and Debugging

Testing and debugging are critical steps in ensuring the functionality and reliability of the chatbot application. Testing involves verifying that all features work as intended. This includes checking edge cases and error handling, like server failures or incorrect data submissions. Debugging focuses on identifying and fixing issues that arise during testing, ensuring smooth operation and user experience. Continuous testing and debugging help maintain the application\\'s robustness and user satisfaction.
During the process of coming up with the chatbot, I faces many errors that had to be debugged for the chatbot to function well.

5.1 Text queries

5.2 Image queries

6. Problems faced and conclusions

6.1 Some difficulties Faced
I encountered several bugs during development. Some were minor, but others took significant time to resolve, especially debugging responses from the API.

Another issue was that it was my first time working with the Gemini API. The unfamiliarity with the API led to a learning curve, causing delays in progress.

I faced was electricity outages that delayed my work. This interrupted my workflow and extended the project timeline.

One other problem was that the API sometimes failed to give responses. After thorough troubleshooting and seeking help, I was able to resolve it.

Also, understanding the documentation for the API was challenging, as it required piecing together various concepts I hadn’t worked with before.

6.2 Conclusion
Working on this project taught me valuable lessons:

• Gemini API Integration: I developed skills in API integration, particularly using the Gemini API for generating responses based on inputs.

• Problem-solving: I learned how to systematically debug and troubleshoot issues, improving my resilience in overcoming project obstacles.

• Time Management: The delays caused by power outages and bugs helped me practice time management and adaptability under pressure.

• Collaborating for Solutions: Reaching out for help when needed and learning from others was an important takeaway in this project.

• Practical Experience: The hands-on experience with API and front-end integration improved my proficiency in JavaScript.