CognitiveScience commited on
Commit
8673f28
·
1 Parent(s): b6bb9e7

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +11 -12
app.py CHANGED
@@ -157,7 +157,8 @@ def load_data2():
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  reviews2, total_reviews2 = get_latest_reviews2(db)
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  db.close()
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  return reviews2, total_reviews2
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-
 
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  css="footer {visibility: hidden}"
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  # Applying style to highlight the maximum value in each row
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  #styler = df.style.highlight_max(color = 'lightgreen', axis = 0)
@@ -186,17 +187,15 @@ with gr.Blocks() as demo:
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  #return "Hello " + name + "!"
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  with gr.Row():
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  with gr.Column():
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- gr.Dataset(components=[gr.Textbox(visible=True)],
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- label="Text Dataset",
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- samples=[
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- ["The quick brown fox jumps over the lazy dog"],
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- ["Build & share delightful machine learning apps"],
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- ["She sells seashells by the seashore"],
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- ["Supercalifragilisticexpialidocious"],
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- ["Lorem ipsum"],
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- ["That's all folks!"]
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- ],
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- )
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  def backup_db():
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  shutil.copyfile(DB_FILE, "./reviews.db")
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  db = sqlite3.connect(DB_FILE)
 
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  reviews2, total_reviews2 = get_latest_reviews2(db)
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  db.close()
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  return reviews2, total_reviews2
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+ def echo(message, history):
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+ return message
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  css="footer {visibility: hidden}"
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  # Applying style to highlight the maximum value in each row
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  #styler = df.style.highlight_max(color = 'lightgreen', axis = 0)
 
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  #return "Hello " + name + "!"
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  with gr.Row():
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  with gr.Column():
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+ potc = gr.ChatInterface(fn=echo, examples=["hello", "hola", "merhaba"], title="Echo Bot")
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+ #name.change(inputs=name, outputs=celsci,_js="window.location.reload()")
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+ #gr.Dataset(components=[gr.Textbox(visible=True)],
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+ #label="Text Dataset",
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+ #samples=[
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+ # ["The quick brown fox jumps over the lazy dog"],
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+ # ["Build & share delightful machine learning apps"]
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+ #],
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+ #)
 
 
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  def backup_db():
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  shutil.copyfile(DB_FILE, "./reviews.db")
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  db = sqlite3.connect(DB_FILE)