prakashkota commited on
Commit
8a4da40
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1 Parent(s): 81afb0d

updated dressing of page

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Files changed (1) hide show
  1. app.py +21 -1
app.py CHANGED
@@ -258,10 +258,30 @@ demo.launch()
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  """
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  with gr.Blocks() as demo:
 
 
 
 
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  output_summary = gr.Textbox(label="Prediction Summary", lines=6)
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  output_table = gr.Dataframe(headers=["Prediction For Date", "Actual Close", "Predicted Close", "% Error", "±MAPE Range"], label="Prediction Table (2025+)")
 
 
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  generate_btn = gr.Button("Generate")
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-
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  generate_btn.click(fn=predict_stock, inputs=[], outputs=[output_summary, output_table])
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  demo.launch(share=True)
 
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  """
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  with gr.Blocks() as demo:
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+ # Title
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+ gr.Markdown("## 📊 NVDA Stock Prediction Using Neural Networks")
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+
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+ # Outputs
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  output_summary = gr.Textbox(label="Prediction Summary", lines=6)
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  output_table = gr.Dataframe(headers=["Prediction For Date", "Actual Close", "Predicted Close", "% Error", "±MAPE Range"], label="Prediction Table (2025+)")
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+
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+ # Generate Button
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  generate_btn = gr.Button("Generate")
 
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  generate_btn.click(fn=predict_stock, inputs=[], outputs=[output_summary, output_table])
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+ # External article link
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+ gr.HTML("""<p style='margin-top: 20px;'><a href="https://prakashkota/blog3/" target="_blank">
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+ 👉 Read the full article here</a></p>""")
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+
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+ # Disclaimer paragraph
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+ gr.HTML("""
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+ <p style='font-size: 14px; color: gray; line-height: 1.5;'>
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+ <strong>Disclaimer:</strong> The information provided in this article and through the linked prediction model is for educational and informational purposes only.
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+ It does not constitute financial, investment, or trading advice, and should not be relied upon as such.<br><br>
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+ Any decisions made based on the model's output are solely at the user’s own risk. I make no guarantees regarding the accuracy, completeness, or reliability of the predictions.
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+ I am not responsible for any financial losses or gains resulting from the use of this model.<br><br>
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+ Always consult with a licensed financial advisor before making any investment decisions.
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+ </p>
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+ """)
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+
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  demo.launch(share=True)