MarziehFadaee sarahooker commited on
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581a078
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1 Parent(s): 66f9f80

Update app.py (#2)

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- Update app.py (839c210f7129a2746d1fdb8d2debcc5167825735)


Co-authored-by: Sara Hooker <[email protected]>

Files changed (1) hide show
  1. app.py +4 -6
app.py CHANGED
@@ -51,14 +51,12 @@ def clear_chat():
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  examples = [
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- "Get a quick overview of current market condition of solar panels",
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- "Gather business intelligence on the Chinese markets",
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  "Summarize recent news about the North American tech job market",
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- "Give me a rundown of AI startups in the productivity space",
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- "Write a python code to reverse a string",
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  "Write a children's story about a polar bear who goes to the market to buy a new coat",
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  "Create a list of unusual excuses people might use to get out of a work meeting",
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- "Explain the relativity theory in french"
 
 
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  ]
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  title = """<h1 align="center">Cohere for AI Command R</h1>"""
@@ -79,7 +77,7 @@ with gr.Blocks(analytics_enabled=False, css=custom_css) as demo:
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  with gr.Column(scale=2):
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  gr.Image("logo.png", elem_id="logo-img", show_label=False)
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  with gr.Column(scale=3):
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- gr.Markdown("""Command R is a large language model with open weights optimized for various use cases
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  including reasoning, summarization, and question answering. Command R is capable of multilingual generation
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  evaluated in 10 languages and highly performant RAG capabilities.
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  <br/>
 
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  examples = [
 
 
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  "Summarize recent news about the North American tech job market",
 
 
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  "Write a children's story about a polar bear who goes to the market to buy a new coat",
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  "Create a list of unusual excuses people might use to get out of a work meeting",
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+ "Write a python code to reverse a string",
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+ "Explain the relativity theory in French",
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+ "Como sair de um helicóptero que caiu na água?"
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  ]
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  title = """<h1 align="center">Cohere for AI Command R</h1>"""
 
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  with gr.Column(scale=2):
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  gr.Image("logo.png", elem_id="logo-img", show_label=False)
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  with gr.Column(scale=3):
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+ gr.Markdown("""C4AI Command R is a large language model with open weights optimized for various use cases
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  including reasoning, summarization, and question answering. Command R is capable of multilingual generation
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  evaluated in 10 languages and highly performant RAG capabilities.
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  <br/>