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Author: Rayeed221

AI_API_into_Google_Docs.js

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+const apiKey = "YOUR API KEY";  // Make an API Key with 5 USD from here -> https://openai.com/index/openai-api/
+const ModelType = "gpt-3.5-turbo"; // You can change the model type. Check here -> https://platform.openai.com/docs/models
+
+// Making another button of options by which the API will work
+function onOpen() {
+  DocumentApp.getUi().createMenu("RayeedAI")
+      .addItem("Chat AI", "call_the_func")
+      .addToUi();
+}
+
+// Function to save the conversation history to the properties service
+function saveConversationHistory(history) {
+  const scriptProperties = PropertiesService.getScriptProperties();
+  scriptProperties.setProperty('conversationHistory', JSON.stringify(history));
+}
+
+// Function to load the conversation history from the properties service
+function loadConversationHistory() {
+  const scriptProperties = PropertiesService.getScriptProperties();
+  const history = scriptProperties.getProperty('conversationHistory');
+  return history ? JSON.parse(history) : [];
+}
+
+function call_the_func() {
+
+  // Load the conversation history from the properties service
+  let conversationHistory = loadConversationHistory();
+
+  // Activing the doc and Selecting the selectect element ans get the Text as a string
+  const doc = DocumentApp.getActiveDocument();
+  const selectedText = doc.getSelection().getRangeElements()[0].getElement().asText().getText();
+  
+  // body is the part where the response of the API has to be paste
+  const body = doc.getBody();
+
+  // Change promp according to your interest
+  const prompt = "This are the conversation history " + conversationHistory + ". Now, only say about " + selectedText + "within 30 words";
+  
+  // Update the prompt directly to the conversation history
+  conversationHistory.push({ role: "system", content: prompt });
+
+  const temperature = 0.2; // Measure the Randomness of the response
+  const maxTokens = 100;  // Maximum token will be use to generate response 
+
+  // Make Resquest to the API
+  const requestBody = {
+    model: ModelType,
+    messages: conversationHistory,
+    temperature,
+    max_tokens: maxTokens,
+  };
+
+  // Initializing request option
+  const requestOptions = {
+    method: "POST",
+    headers: {
+      "Content-Type": "application/json",
+      Authorization: "Bearer " + apiKey,
+    },
+    payload: JSON.stringify(requestBody),
+  };
+  
+  // Getting response and convering it using JSON parse.
+  const response = UrlFetchApp.fetch("https://api.openai.com/v1/chat/completions", requestOptions);
+  const responseText = response.getContentText();
+  const json = JSON.parse(responseText);
+  const generatedText = "\n " + json['choices'][0]['message']['content']; // Fetching only the generated Text
+
+  // Add the generated response to the conversation history as the role of assistant
+  conversationHistory.push({ role: "assistant", content: generatedText });
+
+  // Save the updated conversation history back to the properties service
+  saveConversationHistory(conversationHistory);
+
+  Logger.log(generatedText);
+  body.appendParagraph(generatedText.toString());
+}