add embodied internship question

#6
by natolambert - opened
Files changed (1) hide show
  1. app.py +28 -1
app.py CHANGED
@@ -88,6 +88,33 @@ References
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  - BLEU score: https://en.wikipedia.org/wiki/BLEU
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  """
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  internships = {
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  'Accelerate': default_question,
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  'Diffusion distillation': default_question,
@@ -97,7 +124,7 @@ internships = {
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  "Evaluate": evaluate_question,
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  "ASR": default_question,
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  "Efficient video pretraining": default_question,
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- "Embodied AI": default_question,
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  "Emergence of scene and text understanding": default_question,
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  "Everything is multimodal": default_question,
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  "Everything is vision": default_question,
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  - BLEU score: https://en.wikipedia.org/wiki/BLEU
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  """
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+ embodied_question = """
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+ We are going to use <a href="https://github.com/huggingface/simulate"> Simulate </a> to create a basic RL environment.
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+
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+ <br/><br/>
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+
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+ Instructions:
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+
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+ <br/>
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+
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+ pip install simulate
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+
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+ <br/>
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+ create a scene with the unity engine
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+ <br/>
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+ add a box to the scene at position [0, 0, 1], add a camera named "cam" at default position
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+ <br/>
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+ show the scene, step the scene once
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+ <br/>
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+ what is the mean pixel value from the even frames from "cam".
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+
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+ <br/><br/>
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+
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+ For some resources, you may want to check out:
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+ * <a href="https://huggingface.co/docs/simulate/main/en/quicktour"> Simulate quick start </a> for installation,
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+ * <a href="https://huggingface.co/docs/simulate/main/en/tutorials/running_the_simulation#running-the-simulation" simulation stepping <a> for running the simulation.
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+ """
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+
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  internships = {
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  'Accelerate': default_question,
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  'Diffusion distillation': default_question,
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  "Evaluate": evaluate_question,
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  "ASR": default_question,
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  "Efficient video pretraining": default_question,
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+ "Embodied AI": embodied_question,
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  "Emergence of scene and text understanding": default_question,
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  "Everything is multimodal": default_question,
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  "Everything is vision": default_question,