Chilkat2-Python

OpenAI (ChatGPT) Create Transcription

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Show how to transcribe audio to text. Chilkat2-Python

import sys
import chilkat2

success = False

# This example assumes the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

http = chilkat2.Http()

# Implements the following CURL command:

# curl https://api.openai.com/v1/audio/transcriptions \
#   -H "Authorization: Bearer $OPENAI_API_KEY" \
#   -H "Content-Type: multipart/form-data" \
#   -F file="@/path/to/file/audio.mp3" \
#   -F model="whisper-1"

# Use the following online tool to generate HTTP code from a CURL command
# Convert a cURL Command to HTTP Source Code

req = chilkat2.HttpRequest()
req.HttpVerb = "POST"
req.Path = "/v1/audio/transcriptions"
req.ContentType = "multipart/form-data"
success = req.AddFileForUpload2("file","qa_data/mp3/Conversation-with-39-year-old-male-Virginia_afccal000227_001_00-03-37.mp3","audio/mpeg")

req.AddParam("model","whisper-1")

req.AddHeader("Expect","100-continue")
# This is NOT a real key.  Change the "sk-vi...." to your own key.
req.AddHeader("Authorization","Bearer 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")

resp = chilkat2.HttpResponse()
success = http.HttpSReq("api.openai.com",443,True,req,resp)
if (success == False):
    print(http.LastErrorText)
    sys.exit()

sbResponseBody = chilkat2.StringBuilder()
resp.GetBodySb(sbResponseBody)

jResp = chilkat2.JsonObject()
jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = False

print("Response Body:")
print(jResp.Emit())

respStatusCode = resp.StatusCode
print("Response Status Code = " + str(respStatusCode))
if (respStatusCode >= 400):
    print("Response Header:")
    print(resp.Header)
    print("Failed.")
    sys.exit()

# Sample JSON response:
# (Sample code for parsing the JSON response is shown below)

# {
#   "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
# }

# Sample code for parsing the JSON response...
# Use the following online tool to generate parsing code from sample JSON:
# Generate Parsing Code from JSON

text = jResp.StringOf("text")