Rapidata developer documentation

Developer Quickstart

Set up your environment and make your first API request in minutes.

• Developer Quickstart

  ---

  The user is given mutliple answer options for the given question and image.

  Estimated time: 5 minutes

  pip install -U rapidata
  

  ImageVideoAudioText

  from rapidata import RapidataClient
  
  rapi = RapidataClient()
  
  order = rapi.order.create_compare_order(
      name="Example Image Comparison",
      instruction="Which image matches the description better?",
      contexts=["A small blue book sitting on a large red book."],
      datapoints=[["https://assets.rapidata.ai/midjourney-5.2_37_3.jpg", 
                  "https://assets.rapidata.ai/flux-1-pro_37_0.jpg"]],
  ).run()
  
  order.display_progress_bar()
  
  results = order.get_results()
  print(results)
  

  from rapidata import RapidataClient
  
  rapi = RapidataClient()
  
  order = rapi.order.create_compare_order(
      name="Example Video Comparison",
      instruction="Which video fits the description better?",
      contexts=["A group of elephants painting vibrant murals on a city wall during a lively street festival."],
      datapoints=[["https://assets.rapidata.ai/0074_sora_1.mp4", 
                  "https://assets.rapidata.ai/0074_hunyuan_1724.mp4"]],
  ).run()
  
  order.display_progress_bar()
  
  results = order.get_results()
  print(results)
  

  from rapidata import RapidataClient, LanguageFilter
  
  rapi = RapidataClient()
  
  order = rapi.order.create_compare_order(
      name="Example Audio Comparison",
      instruction="Which audio clip sounds more natural?",
      datapoints=[["https://assets.rapidata.ai/Chat_gpt.mp3", 
                  "https://assets.rapidata.ai/ElevenLabs.mp3"]],
      filters=[LanguageFilter(["en"])]
  ).run()
  
  order.display_progress_bar()
  
  results = order.get_results()
  print(results)
  

  from rapidata import RapidataClient, LanguageFilter
  
  rapi = RapidataClient()
  
  order = rapi.order.create_compare_order(
      name="Example Text Comparison",
      instruction="Which sentence is grammatically more correct?",
      datapoints=[["The children were amazed by the magician’s tricks", 
                  "The children were amusing by the magician’s tricks."]],
      data_type="text",
      filters=[LanguageFilter(["en"])]
  ).run()
  
  order.display_progress_bar()
  
  results = order.get_results()
  print(results)
  

  Let's go