Update readme.md

Author: JJneid

SDK_v1/readme.md

@@ -4,20 +4,36 @@ SDK for SlashML documentation:
 Steps to Integrate
 1 - (Optional) Upload files where the data points to your audio file
 ```
+# call the class
 speect_to_text = speechtotext.SpeechToText()
-file_location="/Users/JJneid/Desktop/SlashMl/s2t_experiments/api_tests/test_audio_1.mp3"
+file_location="path/to/your/file.mp3"
 # when
-API_KEY="1bd15e1c161ff6d4db2ea1d661d7468b4fa61ca9"
+API_KEY="SLASH_ML_API_KEY"
 model_choice="assembly"
-result = speect_to_text.upload_audio(file_location,API_KEY, model_choice)
+result_upload = speect_to_text.upload_audio(file_location,API_KEY, model_choice)
+print(result_upload)
 ```
 Save the upload_url. You can use this url link in the rest of the calls.
 
-2- Submit your audio file for transcription by sendingPOST request tohttps://api.slashml.com/speech-to-text/v1/transcribe/. The body should contain a json object with audio_url which points to an audio file that is publicly available.
+2- Submit your audio file for transcription
+```
+upload_url=upload_url
+
+result_transcribe = speect_to_text.transcribe(upload_url,API_KEY, model_choice)
+
+print(result_transcribe)
+```
 Save the id in the response object.
 
-3 - Check the status of the transcription by sending a GETrequest tohttps://api.slashml.com/speech-to-text/v1/transcription/
+3 - Check the status and get the text result of the transcription
+```
+job_id= id
+result = speect_to_text.status(job_id,API_KEY, model_choice=model_choice)
+
+print(json.loads(result)["text"])
 
+
+```
 Next steps:
 - pip install slashml
 - add SLASH_API_KEY to sys path