diff --git a/functions/index.js b/functions/index.js
deleted file mode 100644
index 5ed0d49..0000000
--- a/functions/index.js
+++ /dev/null
@@ -1,146 +0,0 @@
-const fetch = require('node-fetch'); // Import for webscraping in fetchContentFromURL()
-import { OpenAIApi, Configuration } from 'openai';
-// const { Configuration, OpenAIApi } = require('openai');
-
-// Function to fetch content from URL using a web scraping service
-async function fetchContentFromURL(url) {
-    try {
-        const response = await fetch(url);
-        if (!response.ok) {
-            throw new Error(`HTTP error! status: ${response.status}`);
-        }
-        return await response.text();
-    } catch (error) {
-        console.error(`Could not fetch content from URL: ${error}`);
-        throw error;
-    }
-}
-
-function simplifyContent(content) {
-    // Denote headings with a marker (like '###') and add a line break
-    content = content.replace(/<h[1-6].*?>(.*?)<\/h[1-6]>/g, '\n### $1\n');
-    // Remove script and style elements and their content
-    let simplifiedContent = content.replace(/<script.*?>.*?<\/script>/gms, '');
-    simplifiedContent = simplifiedContent.replace(/<style.*?>.*?<\/style>/gms, '');
-    // Remove all remaining HTML tags, leaving the inner text
-    simplifiedContent = simplifiedContent.replace(/<[^>]+>/g, '');
-    // Manually replace common HTML entities
-    simplifiedContent = simplifiedContent
-        .replace(/&amp;/g, '&')
-        .replace(/&lt;/g, '<')
-        .replace(/&gt;/g, '>')
-        .replace(/&quot;/g, '"')
-        .replace(/&#39;/g, "'");
-    // Remove inline CSS and JavaScript event handlers
-    simplifiedContent = simplifiedContent.replace(/style\s*=\s*'.*?'/gi, '');
-    simplifiedContent = simplifiedContent.replace(/on\w+\s*=\s*".*?"/gi, '');
-    // Normalize whitespace without removing sentence punctuation
-    simplifiedContent = simplifiedContent.replace(/\s+/g, ' ').trim();
-    // Condense multiple line breaks into a single one
-    simplifiedContent = simplifiedContent.replace(/(\r\n|\r|\n){2,}/g, '\n');
-    return simplifiedContent;
-}
-
-
-// Placeholder function to perform GPT analysis for media type and topics using Mistral-7b via OpenRouter
-async function performGPTAnalysis(simplifiedContent, apiKey) {
-    // Implement logic to send content to Mistral-7b via OpenRouter for GPT analysis
-    // Send content and receive GPT analysis response
-
-    // this is the code that we tried to use for the GPT Analysis 
-    // try {
-    //     const configuration = new Configuration({
-    //         apiKey: apiKey,  // Use the provided API key
-    //         baseURL: "https://openrouter.ai/api/v1" // Your custom API endpoint
-    //     });
-    
-    //     const openai = new OpenAIApi(configuration);
-
-    //     // Using the specified prompt
-    //     const prompt = `Analyze the following text and provide the media type and key topics: ${simplifiedContent}`;
-
-    //     const completion = await openai.createCompletion({
-    //         model: "mistralai/mistral-7b-instruct",
-    //         prompt: prompt,
-    //         max_tokens: 150 // Adjust as needed
-    //     });
-
-    //     //return completion.data.choices[0].text.trim();
-    //     return inferredMediaType;
-    // } catch (error) {
-    //     console.error('Error with OpenAI completion:', error);
-    //     throw error;
-    // }
-    // however, it gives the error below: 
-    // { "error": "Something went wrong", "details": "Configuration is not a constructor" }
-
-    // Placeholder code
-    const inferredMediaType = ["article"];
-    const extractedTopics = ["topic1", "topic2"];
-    return { inferredMediaType, extractedTopics };
-}
-
-// Placeholder function to map inferred values to predefined formats and topics
-function mapInferredValues(mediaType, topics) {
-    // Implement logic to map inferred media type and topics to predefined formats and topics
-    // Match inferred values with predefined taxonomy
-    // Placeholder code
-    const predefinedMediaType = "Article";
-    const predefinedTopics = ["Topic 1", "Topic 2"];
-    return { predefinedMediaType, predefinedTopics };
-}
-
-// Placeholder function to format the response
-function formatResponse(predefinedMediaType, predefinedTopics) {
-    // Implement logic to format the extracted metadata into the desired response structure
-    // Construct the response object
-    // Placeholder code
-    const response = {
-        format: predefinedMediaType,
-        topics: predefinedTopics,
-    };
-    return response;
-}
-
-export async function handler(event) {
-    try {
-        // Extract URL and API Key from the request body
-        const { url, apiKey } = JSON.parse(event.body);
-
-        // Validate if URL and API Key are present
-        if (!url || !apiKey) {
-            return {
-                statusCode: 400,
-                body: JSON.stringify({ error: 'URL and API Key are required' }),
-            };
-        }
-
-        // Step 1: Fetch content from the URL using a web scraping service
-        const fetchedContent = await fetchContentFromURL(url);
-
-        // Step 2: Simplify the fetched content for GPT analysis
-        const simplifiedContent = simplifyContent(fetchedContent);
-
-        // Step 3: Perform GPT analysis for media type and topics
-        const { inferredMediaType, extractedTopics } = await performGPTAnalysis(simplifiedContent, apiKey);
-
-        // Step 4: Map inferred values to predefined formats and topics
-        const { predefinedMediaType, predefinedTopics } = mapInferredValues(inferredMediaType, extractedTopics);
-
-        // Step 5: Format the response
-        const formattedResponse = formatResponse(predefinedMediaType, predefinedTopics);
-
-        // Return the formatted response
-        return {
-            statusCode: 200,
-            // returning the output of the simplifyContent function, to test the function
-            body: JSON.stringify(simplifiedContent),
-        };
-    } catch (error) {
-        console.error('Error occurred:', error.message);
-        return {
-            statusCode: 500,
-            body: JSON.stringify({ error: 'Something went wrong', details: error.message }),
-        };
-    }
-}
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