SwapnaneelBanerjee commited on
Commit
0c3b629
1 Parent(s): ea40630

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +2 -3
app.py CHANGED
@@ -21,7 +21,7 @@ block = gr.Blocks(theme="JohnSmith9982/small_and_pretty")
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  with block:
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  gr.HTML(
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  """
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- <h1 align="center">PLANT DISEASE DETECTION<h1>
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  """
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  )
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  with gr.Group():
@@ -30,8 +30,7 @@ with block:
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  """
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  <p style="color:black">
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  <h4 style="font-color:powderblue;">
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- <center>Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. <br><br>
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- Using Computer Vision models in plant disease detection and diagnosis has the potential to revolutionize the way we approach agriculture. By providing real-time monitoring and accurate detection of plant diseases, A.I. can help farmers reduce costs and increase crop</center>
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  </h4>
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  </p>
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  with block:
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  gr.HTML(
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  """
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+ <h1 align="center">Hackefest 2024-PLANT DISEASE DETECTION<h1>
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  """
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  )
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  with gr.Group():
 
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  """
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  <p style="color:black">
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  <h4 style="font-color:powderblue;">
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+ <center>Plant disease detection is a crucial task in agriculture to ensure the health and yield of crops. With advancements in technology, particularly in the field of computer vision and machine learning, automated systems have been developed to identify and diagnose plant diseases accurately and efficiently. These systems typically involve capturing images of plants and analyzing them using algorithms to detect symptoms of diseases such as discoloration, lesions, or abnormal growth patterns. By leveraging such technologies, farmers can promptly identify and treat diseased plants, thereby minimizing crop loss and increasing agricultural productivity</center>
 
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  </h4>
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  </p>
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