zoharbabin
/ example_metadata.py
Created
October 22, 2023 07:23
Create Custom Metadata Instance in Kaltura
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| from KalturaClient import KalturaClient | |
| from KalturaClient.Base import KalturaConfiguration | |
| from KalturaClient.Plugins.Metadata import KalturaMetadataObjectType, KalturaMetadata | |
| from KalturaClient.Plugins.Core import KalturaMediaEntry, KalturaMediaType | |
| import xml.etree.ElementTree as ET | |
| # Initialize Kaltura configuration and client | |
| config = KalturaConfiguration() | |
| config.serviceUrl = "https://cdnapi-ev.kaltura.com/" | |
| client = KalturaClient(config) |
zoharbabin
/ config.json
Created
October 20, 2023 17:08
Manage and create URI restricted Kaltura App Tokens with this utility, perfect for updating permissions
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| { | |
| "PARTNER_ID": 0000, | |
| "ADMIN_SECRET": "REPLACE_ME_KMC_SETTINGS_ADMIN_SECRET", | |
| "SCRIPT_USER_ID": "kapptoken-mgr", | |
| "ADMIN_SESSION_EXPIRY": 1800, | |
| "KALTURA_SERVICE_URL": "https://cdnapi-ev.kaltura.com" | |
| } | |
zoharbabin
/ gdrive2kaltura.py
Created
October 10, 2023 23:35
Recursively migrate all media assets from Google Drive to Kaltura using Bulk Upload CSV
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| """ | |
| Google Drive Media Extractor for Kaltura Upload: | |
| This script processes a specified Google Drive folder to identify media files | |
| (audio, video, and images) and produces a CSV file suitable for bulk upload | |
| to the Kaltura platform. It recursively traverses through all subfolders, | |
| captures metadata about the media files, and appends them to the CSV. Media | |
| files are determined based on their MIME type. | |
| Author Metadata: |
zoharbabin
/ 05232023.txt
Created
June 2, 2023 11:50
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| 05232023 Build Andrej Karpathy Session | |
| Build 2023 | |
| Andrej Karpathy | |
| Tuesday, May 23, 2023 | |
| ANDREJ KARPATHY: Hi, everyone. I’m happy to be here to tell you about the state of GPT. And more generally, about the rapidly growing ecosystem of large language models. So I would like to partition the talk into two parts. | |
| In the first part, I would like to tell you about how we train GPT assistants. And then in the second part, we are going to take a look at how we can use these assistants effectively for your applications. |
zoharbabin
/ kaltura_llama_esearch_object.py
Last active
May 23, 2023 17:14
Sample code to use the LlamaIndex KalturaESearchReader - https://github.com/emptycrown/llama-hub/pull/286
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| import logging | |
| import sys | |
| from llama_index import ( | |
| download_loader, | |
| GPTVectorStoreIndex, | |
| LLMPredictor, | |
| ServiceContext | |
| ) | |
| from langchain.llms import OpenAI | |
| from KalturaClient.Plugins.Core import KalturaMediaType |
zoharbabin
/ llamaindex_kaltura_esearch_reader_example.py
Created
May 20, 2023 20:49
An example use of the Kaltura eSearch Reader for LlamaIndex showing searching for list of Kaltura video entries, and querying ChatGPT against them
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| import logging | |
| import sys | |
| from llama_index import ( | |
| download_loader, | |
| GPTVectorStoreIndex, | |
| LLMPredictor, | |
| ServiceContext, | |
| PromptHelper, | |
| load_index_from_storage, | |
| StorageContext |
zoharbabin
/ kswag2.json
Created
May 14, 2023 18:47
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| { | |
| "basePath": "/api_v3", | |
| "definitions": { | |
| "KalturaABCScreenersWatermarkCondition": { | |
| "allOf": [ | |
| { | |
| "$ref": "#/definitions/KalturaCondition" | |
| } | |
| ], | |
| "properties": {}, |
zoharbabin
/ kaltura-openapi3.0.1.json
Last active
May 14, 2023 11:52
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| { | |
| "openapi": "3.0.1", | |
| "info": { | |
| "title": "Kaltura Video Experience Cloud API", | |
| "description": "Kaltura Media Services offers a feature-rich API for seamless integration of high-quality video streaming and management. It provides scalability, flexibility, and extensive customization options, empowering developers to build robust media-centric applications.", | |
| "version": "19.4.0" | |
| }, | |
| "servers": [ | |
| { | |
| "url": "https://cdnapi-ev.kaltura.com/api_v3" |
zoharbabin
/ convert-srt-to-transcript-txt.py
Created
March 8, 2023 21:34
A python script to strip SRT captions file into a non-timed TXT transcript. Provided an SRT file as input, the script preserves the caption blocks structure in an SRT file input, while merging consecutive lines inside each caption block. Then, the script removes all SRT formatting, and produces a clean TXT file without line index markers, timing…
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| import sys | |
| import re | |
| def merge_lines(srt_file): | |
| # Read in the SRT file | |
| with open(srt_file, 'r') as f: | |
| srt = f.read() | |
| # Merge consecutive lines in each caption block | |
| merged_srt = re.sub(r'\d+\n(\d\d:\d\d:\d\d,\d+ --> \d\d:\d\d:\d\d,\d+\n)?(.*?\n\n)', lambda match: match.group(2).replace('\n', ' ') + '\n', srt, flags=re.S) |
zoharbabin
/ gist:c2869e66c3f4a699c41489cf3ed36248
Created
May 11, 2022 15:26
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| <div style="position: relative; padding-bottom: 56.25%; padding-top: 25px; height: 0;"><iframe style="position: absolute; top: 0; left: 0; width: 100%; height: 100%;" src="https://cdnapisec.kaltura.com/p/2539171/sp/253917100/embedIframeJs/uiconf_id/44037791/partner_id/2539171?iframeembed=true&playerId=kaltura_player_1556142794&entry_id=1_vqxvmjj6&flashvars[streamerType]=auto" width="560" height="400" frameborder="0" allowfullscreen="allowfullscreen"></iframe></div> |