-
Notifications
You must be signed in to change notification settings - Fork 298
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Merge pull request #53 from makeiteasierapps/pscript-bug
Pscript bug
- Loading branch information
Showing
4 changed files
with
113 additions
and
89 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -66,4 +66,6 @@ _site/ | |
|
|
||
| # Ignore folders generated by Bundler | ||
| .bundle/ | ||
| vendor/ | ||
| vendor/ | ||
|
|
||
| venv/ | ||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,97 +1,119 @@ | ||
| import { serve } from "https://deno.land/[email protected]/http/server.ts"; | ||
| import OpenAI, { toFile } from "https://deno.land/x/[email protected]/mod.ts"; | ||
| import { serve } from 'https://deno.land/std/http/server.ts'; | ||
| import { multiParser } from 'https://deno.land/x/[email protected]/mod.ts'; | ||
| import OpenAI, { toFile } from 'https://deno.land/x/[email protected]/mod.ts'; | ||
|
|
||
| import { corsHeaders } from "../common/cors.ts"; | ||
| import { supabaseClient } from "../common/supabaseClient.ts"; | ||
| import { corsHeaders } from '../common/cors.ts'; | ||
| import { supabaseClient } from '../common/supabaseClient.ts'; | ||
|
|
||
| const processAudio = async (req: Request) => { | ||
|
|
||
| if (req.method !== "POST") { | ||
| return new Response("Method Not Allowed", { status: 405 }); | ||
| } | ||
| if (req.method !== 'POST') { | ||
| return new Response('Method Not Allowed', { status: 405 }); | ||
| } | ||
|
|
||
| const supabase = supabaseClient(req); | ||
| const openaiClient = new OpenAI({ | ||
| apiKey: Deno.env.get("OPENAI_API_KEY"), | ||
| }); | ||
| const supabase = supabaseClient(req); | ||
| const openaiClient = new OpenAI({ | ||
| apiKey: Deno.env.get('OPENAI_API_KEY'), | ||
| }); | ||
|
|
||
| // Validate Content-Type | ||
| const contentType = req.headers.get("Content-Type") || ""; | ||
| if (!contentType.includes("audio/wav") && !contentType.includes("audio/x-wav")) { | ||
| return new Response("Unsupported Media Type", { status: 415 }); | ||
| } | ||
| const contentType = req.headers.get('Content-Type') || ''; | ||
| let arrayBuffer: ArrayBuffer; | ||
| let filenameTimestamp = `audio_${Date.now()}.wav`; | ||
|
|
||
| const arrayBuffer = await req.arrayBuffer(); | ||
| if (contentType.includes('multipart/form-data')) { | ||
| const form = await multiParser(req); | ||
| if (!form || !form.files || !form.files.file) { | ||
| return new Response('File not found in form', { | ||
| status: 400, | ||
| headers: corsHeaders, | ||
| }); | ||
| } | ||
| console.log('Form:', form); | ||
| const file = form.files.file; | ||
| arrayBuffer = file.content.buffer; | ||
| filenameTimestamp = file.filename || filenameTimestamp; | ||
| } else { | ||
| arrayBuffer = await req.arrayBuffer(); | ||
| } | ||
|
|
||
| let transcript: string; | ||
| let embeddings: any; | ||
| try { | ||
| const filenameTimestamp = `adeus_wav_${Date.now()}.wav`; | ||
| const wavFile = await toFile(arrayBuffer, filenameTimestamp); | ||
| let transcript: string; | ||
| let embeddings: any; | ||
| try { | ||
| const filenameTimestamp = `adeus_wav_${Date.now()}.wav`; | ||
| const wavFile = await toFile(arrayBuffer, filenameTimestamp); | ||
| console.log(typeof wavFile, wavFile); | ||
|
|
||
| // const { data, error } = await supabase.storage | ||
| // .from("test") | ||
| // .upload(filenameTimestamp, wavFile); | ||
| // const { data, error } = await supabase.storage | ||
| // .from("test") | ||
| // .upload(filenameTimestamp, wavFile); | ||
|
|
||
| // if (error) { | ||
| // console.error("Error uploading file:", error); | ||
| // } | ||
| // if (error) { | ||
| // console.error("Error uploading file:", error); | ||
| // } | ||
|
|
||
| const transcriptResponse = await openaiClient.audio.transcriptions.create({ | ||
| file: await toFile(wavFile, filenameTimestamp), | ||
| model: "whisper-1", | ||
| prompt: | ||
| 'If this audio file does not contain any speech, please return "None"', | ||
| }); | ||
| transcript = transcriptResponse.text; | ||
| let transcriptLowered = transcript.toLowerCase(); | ||
| // ("thank" in transcriptLowered && | ||
| // "watch" in transcriptLowered && | ||
| // "video" in transcriptLowered) | ||
| if ( | ||
| transcript == "None" || | ||
| transcript == "" || | ||
| transcript == null || | ||
| (transcriptLowered.includes("thank") && | ||
| transcriptLowered.includes("watch")) | ||
| ) { | ||
| return new Response(JSON.stringify({ message: "No transcript found." }), { | ||
| headers: { ...corsHeaders, "Content-Type": "application/json" }, | ||
| status: 200, | ||
| }); | ||
| } | ||
| const transcriptResponse = | ||
| await openaiClient.audio.transcriptions.create({ | ||
| file: wavFile, | ||
| model: 'whisper-1', | ||
| prompt: 'If this audio file does not contain any speech, please return "None"', | ||
| }); | ||
| transcript = transcriptResponse.text; | ||
| let transcriptLowered = transcript.toLowerCase(); | ||
| // ("thank" in transcriptLowered && | ||
| // "watch" in transcriptLowered && | ||
| // "video" in transcriptLowered) | ||
| if ( | ||
| transcript == 'None' || | ||
| transcript == '' || | ||
| transcript == null || | ||
| (transcriptLowered.includes('thank') && | ||
| transcriptLowered.includes('watch')) | ||
| ) { | ||
| return new Response( | ||
| JSON.stringify({ message: 'No transcript found.' }), | ||
| { | ||
| headers: { | ||
| ...corsHeaders, | ||
| 'Content-Type': 'application/json', | ||
| }, | ||
| status: 200, | ||
| } | ||
| ); | ||
| } | ||
|
|
||
| console.log("Transcript:", transcript); | ||
| console.log('Transcript:', transcript); | ||
|
|
||
| const embeddingsResponse = await openaiClient.embeddings.create({ | ||
| model: "text-embedding-ada-002", | ||
| input: transcript.replace(/\n/g, " ").replace(/\s{2,}/g, " "), | ||
| }); | ||
| embeddings = embeddingsResponse.data[0].embedding; | ||
| console.log("Embeddings:", embeddings); | ||
| const embeddingsResponse = await openaiClient.embeddings.create({ | ||
| model: 'text-embedding-ada-002', | ||
| input: transcript.replace(/\n/g, ' ').replace(/\s{2,}/g, ' '), | ||
| }); | ||
| embeddings = embeddingsResponse.data[0].embedding; | ||
| console.log('Embeddings:', embeddings); | ||
|
|
||
| const { data, error } = await supabase | ||
| .from("records") | ||
| .insert({ raw_text: transcript, embeddings: embeddings }); | ||
| const { data, error } = await supabase | ||
| .from('records') | ||
| .insert({ raw_text: transcript, embeddings: embeddings }); | ||
|
|
||
| if (error) { | ||
| console.error("Error inserting record:", error); | ||
| if (error) { | ||
| console.error('Error inserting record:', error); | ||
| } | ||
| } catch (error) { | ||
| console.error('Transcription error:', error); | ||
| return new Response(JSON.stringify({ error: error.message }), { | ||
| headers: { ...corsHeaders, 'Content-Type': 'application/json' }, | ||
| status: 500, | ||
| }); | ||
| } | ||
| } catch (error) { | ||
| console.error("Transcription error:", error); | ||
| return new Response(JSON.stringify({ error: error.message }), { | ||
| headers: { ...corsHeaders, "Content-Type": "application/json" }, | ||
| status: 500, | ||
| }); | ||
| } | ||
|
|
||
| return new Response( | ||
| JSON.stringify({ message: "Audio transcribed successfully.", transcript }), | ||
| { | ||
| headers: { ...corsHeaders, "Content-Type": "application/json" }, | ||
| status: 200, | ||
| } | ||
| ); | ||
| return new Response( | ||
| JSON.stringify({ | ||
| message: 'Audio transcribed successfully.', | ||
| transcript, | ||
| }), | ||
| { | ||
| headers: { ...corsHeaders, 'Content-Type': 'application/json' }, | ||
| status: 200, | ||
| } | ||
| ); | ||
| }; | ||
|
|
||
| serve(processAudio); |