Improving example text.

examples/ExampleJSONMode.m

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+%% Analyze Sentiment in Text Using ChatGPT in JSON Mode
+% This example shows how to use ChatGPT for sentiment analysis and output the 
+% results in JSON format. 
+% 
+% To run this example, you need a valid API key from a paid OpenAI API account.
+
+loadenv(".env")
+addpath('..') 
+%% 
+% Define some text to analyze the sentiment.
+
+inputText = ["I can't stand homework.";
+    "This sucks. I'm bored.";
+    "I can't wait for Halloween!!!";
+    "I am neigher for or against the idea.";
+    "My cat is adorable ❤️❤️";
+    "I hate chocolate"];
+%% 
+% Define the expected output JSON Schema.
+
+jsonSchema = '{"sentiment": "string (positive, negative, neutral)","confidence_score": "number (0-1)"}';
+%% 
+% Define the the system prompt, combining your instructions and the JSON Schema. 
+% In order for the model to output JSON, you need to specify that in the prompt, 
+% for example, adding _"designed to output to JSON"_ to the prompt.
+
+systemPrompt = "You are an AI designed to output to JSON. You analyze the sentiment of the provided text and  " + ...
+    "Determine whether the sentiment is positive, negative, or neutral and provide a confidence score using " + ...
+    "the schema: " + jsonSchema;
+prompt = "Analyze the sentiment of the provided text. " + ...
+    "Determine whether the sentiment is positive, negative," + ...
+    " or neutral and provide a confidence score";
+%% 
+% Create a chat object with |ModelName gpt-3.5-turbo-1106| and specify |ResponseFormat| 
+% as |"json".|
+
+model = "gpt-3.5-turbo-1106";
+chat = openAIChat(systemPrompt, ModelName=model, ResponseFormat="json");
+%% 
+% Concatenate the prompt and input text and generate an answer with the model.
+
+scores = cell(1,numel(inputText));
+for i = 1:numel(inputText)
+%% 
+% Generate a response from the message. 
+
+    [json, message, response] = generate(chat,prompt + newline + newline + inputText(i));
+    scores{i} = jsondecode(json);
+end
+%% 
+% Extract the data from the JSON ouput. 
+
+T = struct2table([scores{:}]);
+T.text = inputText;
+T = movevars(T,"text","Before","sentiment")
+%% 
+% _Copyright 2024 The MathWorks, Inc._