ChatgptalexaUpdate create-alexa-hosted-function.md

instructions/create-alexa-hosted-function.md

@@ -1,19 +1,31 @@
-# Build An Alexa Fact Skill
-<img src="https://m.media-amazon.com/images/G/01/mobile-apps/dex/alexa/alexa-skills-kit/tutorials/quiz-game/header._TTH_.png" />
-
-Build an engaging facts skill about any topic. Alexa will select a fact at random and share it with the user when the skill is invoked.
-
-## Deploying Skill Code
-
-In the [first step of this guide](./setup-vui-alexa-hosted.md), we built the Voice User Interface (VUI) for our Alexa skill.
-On this page, we will be exploring the Alexa-Hosted code editor, and deploying our code to enable testing.
-
- * *For details on what the Alexa-Hosted skills service provides, open [this page](https://developer.amazon.com/docs/hosted-skills/build-a-skill-end-to-end-using-an-alexa-hosted-skill.html) in a new tab.*
-
-
-Within your skill in the developer console, click on the **Code** tab at the top of the page. You should see folders and files within the left panel, you can change your code, select the **Save** button, then select **Deploy**. This will deploy your code into a Lambda function that is automatically managed for you by the Alexa-Hosted service.
-
-
-At the bottom left corner of the page, notice the link to **Logs: Amazon CloudWatch**. CloudWatch is the logging service you can use to help debug your skill. We will go into more depth on how to use CloudWatch in the next step.
-
-[![Next](https://m.media-amazon.com/images/G/01/mobile-apps/dex/alexa/alexa-skills-kit/tutorials/general/buttons/button_next_testing._TTH_.png)](./test-using-simulator.md)
+import openai
+import logging
+import json
+from ask_sdk_core.skill_builder import SkillBuilder
+from ask_sdk_core.dispatch_components import AbstractRequestHandler
+from ask_sdk_core.handler_input import HandlerInput
+from ask_sdk_model import Response
+
+logger = logging.getLogger(__name__)
+logger.setLevel(logging.INFO)
+
+api_key = "YOUR_API_KEY"
+
+class GptQueryHandler(AbstractRequestHandler):
+    def can_handle(self, handler_input):
+        return handler_input.request_envelope.request.intent.name == "GptQueryIntent"
+
+    def handle(self, handler_input):
+        query = handler_input.request_envelope.request.intent.slots["query"].value
+        response = openai.Completion.create(
+            engine="text-davinci-003",
+            prompt=query,
+            max_tokens=50
+        )
+        speech_text = response.choices[0].text.strip()
+        return handler_input.response_builder.speak(speech_text).response
+
+sb = SkillBuilder()
+sb.add_request_handler(GptQueryHandler())
+lambda_handler = sb.lambda_handler()
+Código generado por IA. Revisar y usar cuidadosamente. Más información sobre preguntas frecuentes.