PR-Codex init #4
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app/_components/Homepage.tsx
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| <stop stopColor="#fde047" /> | ||
| <stop offset={1} stopColor="#FF80B5" /> |
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/ask-codex what colors are these stopColor values?
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what colors are these
stopColorvalues?
@jjranalli The stopColor values are #fde047 and #FF80B5.
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/ask-codex suggest hexcodes values for red and blue, to replace the current stopColor values
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suggest hexcodes values for red and blue, to replace the current
stopColorvalues
@jjranalli I cannot suggest specific hexcodes without knowing the desired color scheme. However, here are some common hexcodes for red and blue that you could use:
- Red: #FF0000, #FF5733, #DC143C, #B22222
- Blue: #0000FF, #1E90FF, #4169E1, #6495ED
Feel free to choose the ones that match your design preferences.
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/codex how does the logic of generating replies from comments work? |
@jjranalli When a comment is created on a pull request with the text If there are changes in the diff, Finally, the response is formatted as a comment and posted back to the pull request as a reply to the original comment. In addition, if there are skipped files or if the code diff exceeds the maximum character limit, this information is appended to the response. |
| export const generateChatGpt = async ( | ||
| messages: ChatCompletionRequestMessage[] | ||
| ) => { | ||
| const DECODER = new TextDecoder() | ||
| let text = "" | ||
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| try { | ||
| const stream = await OpenAI( | ||
| "chat", | ||
| { | ||
| model: "gpt-3.5-turbo", | ||
| temperature: 0.7, | ||
| messages | ||
| }, | ||
| { apiKey: process.env.OPENAI_API_KEY } | ||
| ) | ||
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| for await (const chunk of yieldStream(stream)) { | ||
| try { | ||
| const decoded: string = DECODER.decode(chunk) | ||
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| if (decoded === undefined) | ||
| throw new Error( | ||
| "No choices in response. Decoded response: " + | ||
| JSON.stringify(decoded) | ||
| ) | ||
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| text += decoded | ||
| } catch (err) { | ||
| console.error(err) | ||
| } | ||
| } | ||
| } catch (err) { | ||
| console.error(err) | ||
| } | ||
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| return text |
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/codex what does this do?
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what does this do?
@jjranalli This is a JavaScript function that exports a named function generateChatGpt. It takes an array of ChatCompletionRequestMessage objects as input and returns a string. The function uses the OpenAI library to generate a chat response using the GPT-3.5-turbo model with a temperature of 0.7. It then concatenates all the chunks of data returned by the OpenAI stream into a single string and returns it.
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This is PR-Codex in action
PR-Codex overview
This PR adds a new feature to the project: a GitHub app that explains and summarizes PR code diffs. It includes a new
github/route.tsfile and updates several existing files, includingREADME.md,Homepage.tsx,DefaultHead.tsx,AppLayout.tsx,Footer.tsx, andNavbar.tsx.Detailed summary
github/route.tsfileREADME.mdHomepage.tsxDefaultHead.tsxAppLayout.tsxFooter.tsxNavbar.tsx