PUT Video

# MP4 File
curl --location --request PUT "https://api.symbl.ai/v1/process/video/$CONVERSATION_ID?name=Business%20Meeting&confidenceThreshold=0.6" \
--header 'Content-Type: video/mp4' \
--header "Authorization: Bearer $AUTH_TOKEN" \
--data-binary '@/path/to/video/file.mp4'

const request = require('request');
const fs = require('fs');
const authToken = AUTH_TOKEN;
const conversationId = CONVERSATION_ID;
const webhookUrl = WEBHOOK_URL;
const videoFileStream = fs.createReadStream('/file/location/video.mp4');

const params = {
  'name': "Business Meeting",
  // <Optional, string| your_conversation_name | Your meeting name. Default name set to conversationId.>"

  'confidenceThreshold': 0.6,
  // <Optional, double| confidence_threshold | Minimum required confidence for the insight to be recognized.>

  // 'webhookUrl': "https://yourdomain.com/jobs/callback",
  // <Optional, string| your_webhook_url| Webhook url on which job updates to be sent. (This should be post API)>

  // 'customVocabulary': ['Platform', 'Discussion', 'Targets'],
  // <Optional, list| custom_vocabulary_list> |Contains a list of words and phrases that provide hints to the speech recognition task.

  // 'detectPhrases': true,
  // "<Optional, boolean| detect_phrases> |Accepted values are true & false. It shows Actionable Phrases in each sentence of conversation. These sentences can be found in the Conversation's Messages API.>

  // 'languageCode': "en-US"
  // <Optional, boolean| language_code> |code of language of recording.
}

responses = {
  400: 'Bad Request! Please refer docs for correct input fields.',
  401: 'Unauthorized. Please generate a new access token.',
  404: 'The conversation and/or it\'s metadata you asked could not be found, please check the input provided',
  429: 'Maximum number of concurrent jobs reached. Please wait for some requests to complete.',
  500: 'Something went wrong! Please contact [email protected]'
}

const videoOption = {
  url: `https://api.symbl.ai/v1/process/video/url/${conversationId}`,
  headers: {
    'Authorization': `Bearer ${authToken}`,
    'Content-Type': 'application/json'
  },
  qs: params,
  json: true
};

videoFileStream.pipe(request.post(videoOption, (err, response, body) => {
  const statusCode = response.statusCode;
  if (err || Object.keys(responses).indexOf(statusCode.toString()) !== -1) {
    throw new Error(responses[statusCode]);
  }
  console.log('Status code: ', statusCode);
  console.log('Body', response.body);
}));

import requests
import json

baseUrl = "https://api.symbl.ai/v1/process/video/"
conversationId = 'your_conversation_id'  # Generated using Submit text end point

url = baseUrl + conversationId

payload = None

try:
    video_file = open('destination/of/file/file.mp4', 'rb')  # use (r"path/to/file") when using windows path
    payload = video_file.read()
except FileNotFoundError:
    print("Could not read the file provided.")
    exit()

# set your access token here. See https://docs.symbl.ai/docs/developer-tools/authentication
access_token = 'your_access_token'

headers = {
    'Authorization': 'Bearer ' + access_token,
    'Content-Type': 'video/mp4'  # Describes the format and codec of the provided video. Accepted value video/mp4
}

params = {
    'name': "Business Meeting",
    # <Optional, string| your_conversation_name | Your meeting name. Default name set to conversationId.>"

    'confidenceThreshold': 0.6,
    # <Optional, double| confidence_threshold | Minimum required confidence for the insight to be recognized.>

    # 'webhookUrl': "https://yourdomain.com/jobs/callback",
    # <Optional, string| your_webhook_url| Webhook url on which job updates to be sent. (This should be post API)>

    # 'customVocabulary': ['Platform', 'Discussion', 'Targets'],
    # <Optional, list| custom_vocabulary_list> |Contains a list of words and phrases that provide hints to the speech recognition task.

    # 'detectPhrases': true,
    # "<Optional, boolean| detect_phrases> |Accepted values are true & false. It shows Actionable Phrases in each sentence of conversation. These sentences can be found in the Conversation's Messages API.>

    # 'languageCode': "en-US"
    # <Optional, boolean| language_code> |code of language of recording.
}

responses = {
    400: 'Bad Request! Please refer docs for correct input fields.',
    401: 'Unauthorized. Please generate a new access token.',
    404: 'The conversation and/or it\'s metadata you asked could not be found, please check the input provided',
    429: 'Maximum number of concurrent jobs reached. Please wait for some requests to complete.',
    500: 'Something went wrong! Please contact [email protected]'
}

response = requests.request("PUT", url, headers=headers, data=payload)

if response.status_code == 201:
    # Successful API execution
    print("conversationId => " + response.json()['conversationId'])  # ID to be used with Conversation API.
    print("jobId => " + response.json()['jobId'])  # ID to be used with Job API.
elif response.status_code in responses.keys():
    print(responses[response.status_code])  # Expected error occurred
else:
    print("Unexpected error occurred. Please contact [email protected]" + ", Debug Message => " + str(response.text))

exit()