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| // Copyright (c) Microsoft. All rights reserved. | ||
| package com.microsoft.semantickernel.syntaxexamples; | ||
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|
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| import com.microsoft.openai.OpenAIAsyncClient; | ||
| import com.microsoft.semantickernel.Config; | ||
| import com.microsoft.semantickernel.Kernel; | ||
| import com.microsoft.semantickernel.KernelConfig; | ||
| import com.microsoft.semantickernel.builders.SKBuilders; | ||
| import com.microsoft.semantickernel.coreskills.ConversationSummarySkill; | ||
| import com.microsoft.semantickernel.orchestration.SKFunction; | ||
| import com.microsoft.semantickernel.skilldefinition.ReadOnlyFunctionCollection; | ||
| import com.microsoft.semantickernel.textcompletion.CompletionSKContext; | ||
| import com.microsoft.semantickernel.textcompletion.TextCompletion; | ||
| import reactor.core.publisher.Mono; | ||
|
|
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| public class Example13_ConversationSummarySkill { | ||
| private static final String ChatTranscript = | ||
| """ | ||
| John: Hello, how are you? | ||
| Jane: I'm fine, thanks. How are you? | ||
| John: I'm doing well, writing some example code. | ||
| Jane: That's great! I'm writing some example code too. | ||
| John: What are you writing? | ||
| Jane: I'm writing a chatbot. | ||
| John: That's cool. I'm writing a chatbot too. | ||
| Jane: What language are you writing it in? | ||
| John: I'm writing it in C#. | ||
| Jane: I'm writing it in Python. | ||
| John: That's cool. I need to learn Python. | ||
| Jane: I need to learn C#. | ||
| John: Can I try out your chatbot? | ||
| Jane: Sure, here's the link. | ||
| John: Thanks! | ||
| Jane: You're welcome. | ||
| Jane: Look at this poem my chatbot wrote: | ||
| Jane: Roses are red | ||
| Jane: Violets are blue | ||
| Jane: I'm writing a chatbot | ||
| Jane: What about you? | ||
| John: That's cool. Let me see if mine will write a poem, too. | ||
| John: Here's a poem my chatbot wrote: | ||
| John: The singularity of the universe is a mystery. | ||
| John: The universe is a mystery. | ||
| John: The universe is a mystery. | ||
| John: The universe is a mystery. | ||
| John: Looks like I need to improve mine, oh well. | ||
| Jane: You might want to try using a different model. | ||
| Jane: I'm using the GPT-3 model. | ||
| John: I'm using the GPT-2 model. That makes sense. | ||
| John: Here is a new poem after updating the model. | ||
| John: The universe is a mystery. | ||
| John: The universe is a mystery. | ||
| John: The universe is a mystery. | ||
| John: Yikes, it's really stuck isn't it. Would you help me debug my code? | ||
| Jane: Sure, what's the problem? | ||
| John: I'm not sure. I think it's a bug in the code. | ||
| Jane: I'll take a look. | ||
| Jane: I think I found the problem. | ||
| Jane: It looks like you're not passing the right parameters to the model. | ||
| John: Thanks for the help! | ||
| Jane: I'm now writing a bot to summarize conversations. I want to make sure it works when the conversation is long. | ||
| John: So you need to keep talking with me to generate a long conversation? | ||
| Jane: Yes, that's right. | ||
| John: Ok, I'll keep talking. What should we talk about? | ||
| Jane: I don't know, what do you want to talk about? | ||
| John: I don't know, it's nice how CoPilot is doing most of the talking for us. But it definitely gets stuck sometimes. | ||
| Jane: I agree, it's nice that CoPilot is doing most of the talking for us. | ||
| Jane: But it definitely gets stuck sometimes. | ||
| John: Do you know how long it needs to be? | ||
| Jane: I think the max length is 1024 tokens. Which is approximately 1024*4= 4096 characters. | ||
| John: That's a lot of characters. | ||
| Jane: Yes, it is. | ||
| John: I'm not sure how much longer I can keep talking. | ||
| Jane: I think we're almost there. Let me check. | ||
| Jane: I have some bad news, we're only half way there. | ||
| John: Oh no, I'm not sure I can keep going. I'm getting tired. | ||
| Jane: I'm getting tired too. | ||
| John: Maybe there is a large piece of text we can use to generate a long conversation. | ||
| Jane: That's a good idea. Let me see if I can find one. Maybe Lorem Ipsum? | ||
| John: Yeah, that's a good idea. | ||
| Jane: I found a Lorem Ipsum generator. | ||
| Jane: Here's a 4096 character Lorem Ipsum text: | ||
| Jane: Lorem ipsum dolor sit amet, con | ||
| Jane: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed euismod, nunc sit amet aliquam | ||
| Jane: Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed euismod, nunc sit amet aliquam | ||
| Jane: Darn, it's just repeating stuf now. | ||
| John: I think we're done. | ||
| Jane: We're not though! We need like 1500 more characters. | ||
| John: Oh Cananda, our home and native land. | ||
| Jane: True patriot love in all thy sons command. | ||
| John: With glowing hearts we see thee rise. | ||
| Jane: The True North strong and free. | ||
| John: From far and wide, O Canada, we stand on guard for thee. | ||
| Jane: God keep our land glorious and free. | ||
| John: O Canada, we stand on guard for thee. | ||
| Jane: O Canada, we stand on guard for thee. | ||
| Jane: That was fun, thank you. Let me check now. | ||
| Jane: I think we need about 600 more characters. | ||
| John: Oh say can you see? | ||
| Jane: By the dawn's early light. | ||
| John: What so proudly we hailed. | ||
| Jane: At the twilight's last gleaming. | ||
| John: Whose broad stripes and bright stars. | ||
| Jane: Through the perilous fight. | ||
| John: O'er the ramparts we watched. | ||
| Jane: Were so gallantly streaming. | ||
| John: And the rockets' red glare. | ||
| Jane: The bombs bursting in air. | ||
| John: Gave proof through the night. | ||
| Jane: That our flag was still there. | ||
| John: Oh say does that star-spangled banner yet wave. | ||
| Jane: O'er the land of the free. | ||
| John: And the home of the brave. | ||
| Jane: Are you a Seattle Kraken Fan? | ||
| John: Yes, I am. I love going to the games. | ||
| Jane: I'm a Seattle Kraken Fan too. Who is your favorite player? | ||
| John: I like watching all the players, but I think my favorite is Matty Beniers. | ||
| Jane: Yeah, he's a great player. I like watching him too. I also like watching Jaden Schwartz. | ||
| John: Adam Larsson is another good one. The big cat! | ||
| Jane: WE MADE IT! It's long enough. Thank you! | ||
| John: Can you automate generating long text next time? | ||
| Jane: I will. | ||
| John: You're welcome. I'm glad we could help. Goodbye! | ||
| Jane: Goodbye! | ||
| """.stripIndent(); | ||
|
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| public static void main(String[] args) { | ||
| conversationSummarySkillAsync(); | ||
| getConversationActionItemsAsync(); | ||
| getConversationTopicsAsync(); | ||
| } | ||
|
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| private static void conversationSummarySkillAsync() { | ||
| System.out.println("======== SampleSkills - Conversation Summary Skill - Summarize ========"); | ||
| Kernel kernel = initializeKernel(); | ||
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| ReadOnlyFunctionCollection conversationSummarySkill = | ||
| kernel.importSkill(new ConversationSummarySkill(kernel), null); | ||
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| Mono<CompletionSKContext> summary = conversationSummarySkill | ||
| .getFunction("SummarizeConversation", SKFunction.class) | ||
| .invokeAsync(ChatTranscript); | ||
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| System.out.println("Generated Summary (This may take some time):"); | ||
| System.out.println(summary.block().getResult()); | ||
| } | ||
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| private static void getConversationActionItemsAsync() { | ||
| System.out.println("======== SampleSkills - Conversation Summary Skill - Action Items ========"); | ||
| Kernel kernel = initializeKernel(); | ||
|
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| ReadOnlyFunctionCollection conversationSummarySkill = | ||
| kernel.importSkill(new ConversationSummarySkill(kernel), null); | ||
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| Mono<CompletionSKContext> summary = conversationSummarySkill | ||
| .getFunction("GetConversationActionItems", SKFunction.class) | ||
| .invokeAsync(ChatTranscript); | ||
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| System.out.println("Generated Action Items (This may take some time):"); | ||
| System.out.println(summary.block().getResult()); | ||
| } | ||
|
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| private static void getConversationTopicsAsync() { | ||
| Kernel kernel = initializeKernel(); | ||
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| ReadOnlyFunctionCollection conversationSummarySkill = | ||
| kernel.importSkill(new ConversationSummarySkill(kernel), null); | ||
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| Mono<CompletionSKContext> summary = conversationSummarySkill | ||
| .getFunction("GetConversationTopics", SKFunction.class) | ||
| .invokeAsync(ChatTranscript); | ||
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| System.out.println("Generated Topics:"); | ||
| System.out.println(summary.block().getResult()); | ||
| } | ||
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| private static Kernel initializeKernel() { | ||
| OpenAIAsyncClient client = Config.getClient(true); | ||
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| TextCompletion textCompletion = SKBuilders.textCompletionService().build(client, "text-davinci-003"); | ||
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| KernelConfig kernelConfig = | ||
| new KernelConfig.Builder() | ||
| .addTextCompletionService("text-davinci-003", kernel -> textCompletion) | ||
| .build(); | ||
|
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| return SKBuilders.kernel().setKernelConfig(kernelConfig).build(); | ||
| } | ||
| } |
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