S0h9l commited on
Commit
8eea3a7
·
1 Parent(s): ebb66c9

Update app.py

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Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -31,7 +31,7 @@ def transcribe(audio):
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  response = co.generate(
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  model='xlarge',
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  prompt=f'This program will generate an introductory paragraph to a blog post given a blog title, audience, and tone of voice.\n--\nBlog Title: Best Activities in Toronto\nAudience: Millennials\nTone of Voice: Lighthearted\nFirst Paragraph: Looking for fun things to do in Toronto? When it comes to exploring Canada\'s largest city, there\'s an ever-evolving set of activities to choose from. Whether you\'re looking to visit a local museum or sample the city\'s varied cuisine, there is plenty to fill any itinerary. In this blog post, I\'ll share some of my favorite recommendations\n--\nBlog Title: Mastering Dynamic Programming\nAudience: Developers\nTone: Informative\nFirst Paragraph: In this piece, we\'ll help you understand the fundamentals of dynamic programming, and when to apply this optimization technique. We\'ll break down bottom-up and top-down approaches to solve dynamic programming problems.\n--\nBlog Title: {result.text}\nAudience: Athletes\nTone: Enthusiastic\nFirst Paragraph:',
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- max_tokens=100,
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  temperature=0.8,
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  k=0,
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  p=1,
 
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  response = co.generate(
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  model='xlarge',
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  prompt=f'This program will generate an introductory paragraph to a blog post given a blog title, audience, and tone of voice.\n--\nBlog Title: Best Activities in Toronto\nAudience: Millennials\nTone of Voice: Lighthearted\nFirst Paragraph: Looking for fun things to do in Toronto? When it comes to exploring Canada\'s largest city, there\'s an ever-evolving set of activities to choose from. Whether you\'re looking to visit a local museum or sample the city\'s varied cuisine, there is plenty to fill any itinerary. In this blog post, I\'ll share some of my favorite recommendations\n--\nBlog Title: Mastering Dynamic Programming\nAudience: Developers\nTone: Informative\nFirst Paragraph: In this piece, we\'ll help you understand the fundamentals of dynamic programming, and when to apply this optimization technique. We\'ll break down bottom-up and top-down approaches to solve dynamic programming problems.\n--\nBlog Title: {result.text}\nAudience: Athletes\nTone: Enthusiastic\nFirst Paragraph:',
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+ max_tokens=150,
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  temperature=0.8,
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  k=0,
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  p=1,