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Async Video API

The Python SDK allow you to asynchronously send video conversation data and generate the following:

  • Speech-to-Text (messages)
  • Action Items
  • Questions
  • Topics
  • Follow-ups
  • Members (a list of members in a conversation).

You can also utilize the parameters function to send additional parameters supported in the Async Video API for file and url upload.

Sample Code#

import symbl
conversation_object = symbl.Video.process_file(file_path=r'c:/Users/john/Downloads/video.mp4')
print(conversation_object.get_messages())
print(conversation_object.get_topics())
# You can use the same code to generate other insights such as:
# print(conversation_object.get_follow_ups())
# print(conversation_object.get_action_items())
# print(conversation_object.get_questions())
# print(conversation_object.get_members())
note

Always prefix "r" before the file location in the code if you are using Windows system. Example: file_path=r'c:/Users/john/Downloads/business_meeting.mp3

Appending Video API#

To append a video call to an already processed video file, use the .append function with the conversation_id as shown below:

conversation_object = symbl.Video.append_file(file_path=r'c:/Users/john/Downloads/video.mp4', conversation_id='')

A complete sample of the .append function is given below:

import symbl
conversation_object = symbl.Video.append_file(file_path=r'c:/Users/john/Downloads/video.mp4', conversation_id='')
print(conversation_object.get_messages())
print(conversation_object.get_topics())
# You can use the same code to generate other insights such as:
# print(conversation_object.get_follow_ups())
# print(conversation_object.get_action_items())
# print(conversation_object.get_questions())
# print(conversation_object.get_members())

Using Parameters#

In the sample below, the optional parameters such as name, detectPhrases, etc. have been used. You must pass the query parameters as parameters as shown below.
You can use these parameters in the .append functionality as well.

See the complete list of supported parameters here.

import symbl
conversation_object = symbl.Video.process_file(file_path='/users/jon/Downloads/Welcome.mp4',
parameters={
'name':'Business Meeting',
'detectPhrases': True,
'enableSpeakerDiarization': True,
'diarizationSpeakerCount': 3,
'channelMetadata': [
{"channel": 1,"speaker": {"name": "Jon Snow","email": "Jon@example.com"}}
]})
print(conversation_object.get_messages())
print(conversation_object.get_topics())
# You can use the same code to generate other insights such as:
# print(conversation_object.get_follow_ups())
# print(conversation_object.get_action_items())
# print(conversation_object.get_questions())
# print(conversation_object.get_members())

Async Video URL API#

Use the code given below to process video calls with the Python SDK and generate conversation insights such as speech-to-text, topics, follow-ups, action items, questions. It can be utilized for any use case where you have access to recorded video stored publicly as a URL and want to extract insights and other conversational attributes supported by Symbl.

info

The URL provided must be a publicly available URL. Currently we do not any support any redirected links, shortened links (e.g. bit.ly), YouTube, Vimeo, or links from any audio/video platforms.

import symbl
request_body = {
'url': ‘https://symbltestdata.s3.us-east-2.amazonaws.com/playground_sample_audio.mp3’,
'name': 'Business Meeting',
}
conversation_object = symbl.Audio.process_url(payload = request_body )
print(conversation_object.get_messages())
print(conversation_object.get_topics())
# You can use the same code to generate other insights such as:
# print(conversation_object.get_follow_ups())
# print(conversation_object.get_action_items())
# print(conversation_object.get_questions())
# print(conversation_object.get_members())

Appending Video URL API#

To append an already processed video file via URL, use the .append function with conversation_id as shown below:

conversation_object = symbl.Audio.append_url(payload=request_body, conversation_id='4639962491256832')

A complete sample for the .append function is given below:

import symbl
request_body = {
'url': ‘https://symbltestdata.s3.us-east-2.amazonaws.com/playground_sample_audio.mp3’,
'name': 'Business Meeting',
}
conversation_object = symbl.Audio.append_url(payload=request_body, conversation_id='4639962491256832')
print(conversation_object.get_messages())
print(conversation_object.get_topics())
# You can use the same code to generate other insights such as:
# print(conversation_object.get_follow_ups())
# print(conversation_object.get_action_items())
# print(conversation_object.get_questions())
# print(conversation_object.get_members())

Using Parameters#

In the sample below, the optional parameters such as name, detectPhrases, etc. have been used. The supported parameters must be sent as a part of the request_body function.
You can also use parameters while using the .append functionality.

See the complete list of supported parameters here.

request_body = {
'url':'https://symbltestdata.s3.us-east-2.amazonaws.com/sample_video_file.mp4',
'detectPhrases': True,
'channelMetadata': [{"channel": 1,"speaker": {"name": "Jon Snow","email": "jon@example.com"}}]
}
conversation_object = symbl.Video.process_url(payload=request_body)
print(conversation_object.get_topics())
print(conversation_object.get_messages())
# You can use the same code to generate other insights such as:
# print(conversation_object.get_follow_ups())
# print(conversation_object.get_action_items())
# print(conversation_object.get_questions())
# print(conversation_object.get_members())

Utilizing the wait Parameter#

Use the wait parameter (by default set to True) while making concurrent API calls. Setting the value wait=False will execute an existing function on a separate thread making it a non-blocking API call. It also has the callback support.

Example:

conversation_object = symbl.Video.process_file(file_path=r'c:/Users/john/Downloads/video.mp4', wait=False)

Python SDK Reference#

For a complete list of supported classes and objects in the Python SDK, see the Python SDK Reference page.

You can view more capabilities added to Async API in the following sections: