diff --git a/README.md b/README.md
index 7aab2f3..62dc241 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# GPT API Integration (in HTML/CSS with JS/PHP)
+# GPT API Integration with stream (in HTML/CSS with JS/PHP) 
 ###### Updated: 02.06.2024 modules/endpoints
 
 ![Screenshot](chatgpt.png)
diff --git a/config.php b/config.php
index d0ce36a..072315b 100644
--- a/config.php
+++ b/config.php
@@ -4,7 +4,7 @@
 // Define the OpenAI API key
 define('OPENAI_API_KEY', 'sk-.................................');
 // Define the model to be used, for example: text-davinci-003
-define('MODEL', 'text-davinci-003');
+define('MODEL', 'gpt-4o-mini');
 // Define the temperature setting for the model, a value between 0 and 1 (e.g., 0.9)
 define('TEMPERATURE', 0.9);
 // Define the maximum number of tokens to be generated by the model (e.g., 1000)
diff --git a/gptchat.php b/gptchat.php
index 19eae6a..09cc926 100644
--- a/gptchat.php
+++ b/gptchat.php
@@ -1,62 +1,42 @@
 <?php
-// Set the content type of the response to JSON
-header('Content-Type: application/json');
-
-// Allow cross-origin requests from any domain
+header('Content-Type: text/event-stream');
+header('Cache-Control: no-cache');
 header('Access-Control-Allow-Origin: *');
-
-// Allow the POST method for cross-origin requests
 header('Access-Control-Allow-Methods: POST');
-
-// Specify allowed headers for cross-origin requests, including Content-Type and Authorization
 header('Access-Control-Allow-Headers: Content-Type, Authorization');
 
-// Include the configuration file
 require_once 'config.php';
 
-// Check if the request method is POST
 if ($_SERVER['REQUEST_METHOD'] === 'POST') {
-    
-    // Decode the JSON input and store it in a variable
     $input = json_decode(file_get_contents('php://input'), true);
-    
-    // URL-encode the message from the input
-    $message = urlencode($input['message']);
-    
-    // Initialize a new cURL session
+    $message = $input['message'];
 
     $ch = curl_init();
-// Change the API endpoint URL according to your needs
-// For example, use /v1/chat/completions for GPT-4, GPT-4-0314, GPT-4-32k, GPT-4-32k-0314, GPT-3.5-turbo, and GPT-3.5-turbo-0301 models
-// Use /v1/completions for Lingua models like text-davinci-003, text-davinci-002, text-curie-001, text-babbage-001, and text-ada-001
-// See the readme.md file for more information
-// if you dont want to use /v1/engines/ than you must remove model from CURLOPT_URL and must set it in CURLOPT_POSTFIELDS like "model" => gpt-3.5-turbo-16k,
-    curl_setopt($ch, CURLOPT_URL, "https://api.openai.com/v1/engines/" . MODEL . "/completions");
-    curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
-    curl_setopt($ch, CURLOPT_POST, 1);
-    curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode(array(
-
-        "prompt" => $message,
-        "max_tokens" => MAX_TOKENS,
-        "temperature" => TEMPERATURE,
-        "top_p" => TOP_P,
-        "frequency_penalty" => FREQUENCY_PENALTY,
-        "presence_penalty" => PRESENCE_PENALTY
-    )));
-    // Set the Content-Type and Authorization headers
-    curl_setopt($ch, CURLOPT_HTTPHEADER, array(
+    curl_setopt($ch, CURLOPT_URL, "https://api.openai.com/v1/chat/completions");
+    curl_setopt($ch, CURLOPT_RETURNTRANSFER, false);
+    curl_setopt($ch, CURLOPT_POST, true);
+    curl_setopt($ch, CURLOPT_HTTPHEADER, [
         "Content-Type: application/json",
         "Authorization: Bearer " . OPENAI_API_KEY
-    ));
-// Execute the cURL session and store the response
-    $response = curl_exec($ch);
-    // Output the response
-    echo $response;
-// Close the cURL session
+    ]);
+    curl_setopt($ch, CURLOPT_POSTFIELDS, json_encode([
+        "model" => MODEL,
+        "messages" => [["role" => "user", "content" => $message]],
+        "temperature" => TEMPERATURE,
+        "max_tokens" => MAX_TOKENS,
+        "stream" => true
+    ]));
+
+    curl_setopt($ch, CURLOPT_WRITEFUNCTION, function ($curl, $data) {
+        echo "data: " . $data . "\n\n";
+        ob_flush();
+        flush();
+        return strlen($data);
+    });
+
+    curl_exec($ch);
     curl_close($ch);
 } else {
-     // Set the HTTP response code to 405 (Method Not Allowed) if the request method is not POST
     http_response_code(405);
-    // Output an error message in JSON format
     echo json_encode(['error' => 'Method not allowed']);
 }
diff --git a/index.html b/index.html
index 3c9d2cd..c7b3a57 100644
--- a/index.html
+++ b/index.html
@@ -3,7 +3,7 @@
 <head>
 <meta charset="UTF-8">
 <meta name="viewport" content="width=device-width, initial-scale=1.0">
-<title>GPTChat API Integration</title>
+<title>GPTChat API Integration with stream</title>
 <link rel="stylesheet" href="style.css">
 <script src="script.js" defer></script>
 </head>
diff --git a/script.js b/script.js
index 232273b..1b2bcb2 100644
--- a/script.js
+++ b/script.js
@@ -13,21 +13,45 @@ chatForm.addEventListener("submit", async (e) => {
 
     const response = await fetch("gptchat.php", {
         method: "POST",
-        headers: {
-            "Content-Type": "application/json",
-        },
+        headers: { "Content-Type": "application/json" },
         body: JSON.stringify({ message }),
     });
 
-    if (response.ok) {
-        const data = await response.json();
-        if (data.choices && data.choices[0] && data.choices[0].text) {
-            chatOutput.innerHTML += `<p class="bot-message">${data.choices[0].text}</p>`;
-        } else {
-            console.error("Error: Unexpected response format", data);
-        }
-        chatOutput.scrollTop = chatOutput.scrollHeight;
-    } else {
+    if (!response.ok) {
         console.error("Error communicating with GPTChat API");
+        return;
+    }
+
+    const reader = response.body.getReader();
+    let botMessage = "";
+
+    async function read() {
+        const { done, value } = await reader.read();
+        if (done) {
+            chatOutput.innerHTML += `<p class="bot-message">${botMessage}</p>`;
+            chatOutput.scrollTop = chatOutput.scrollHeight;
+            return;
+        }
+
+        const text = new TextDecoder().decode(value);
+        const lines = text.split("\n").filter(line => line.startsWith("data: "));
+        for (const line of lines) {
+            const json = line.replace("data: ", "").trim();
+            if (json && json !== "[DONE]") {
+                try {
+                    const data = JSON.parse(json);
+                    if (data.choices && data.choices[0] && data.choices[0].delta && data.choices[0].delta.content) {
+                        botMessage += data.choices[0].delta.content;
+                        chatOutput.innerHTML += `<span class="bot-message">${data.choices[0].delta.content}</span>`;
+                        chatOutput.scrollTop = chatOutput.scrollHeight;
+                    }
+                } catch (err) {
+                    console.error("JSON Parsing Error", err);
+                }
+            }
+        }
+        read();
     }
-});
\ No newline at end of file
+
+    read();
+});