amitjohn007 commited on
Commit
441ff1d
·
1 Parent(s): a1ff158

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +4 -22
app.py CHANGED
@@ -15,33 +15,15 @@ def model_performance_UQS(model_checkpoint, context, question):
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  m1 = gr.Interface.load("huggingface/amitjohn007/albert-finetuned-squad")
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  m2 = gr.Interface.load("huggingface/amitjohn007/bert-finetuned-squad")
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- m3 = gr.Interface.load("huggingface/amitjohn007/roberta-base-finetuned-squad")
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- m4 = gr.Interface.load("huggingface/amitjohn007/xlm-roberta-base-finetuned-squad")
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- m5 = gr.Interface.load("huggingface/amitjohn007/simplebert-base-finetuned-squad")
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- m6 = gr.Interface.load("huggingface/amitjohn007/electra-finetuned-squad")
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- m7 = gr.Interface.load("huggingface/amitjohn007/second-mobil-bert-finetuned-squad")
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- m8 = gr.Interface.load("huggingface/amitjohn007/mpnet-finetuned")
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  def predict(model_choice,context,question):
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  if model_choice=="m1":
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- return model_performance_UQS(model_checkpoint="huggingface/amitjohn007/albert-finetuned-squad",context=context,question=question)
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- elif model_choice==m2:
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- return model_performance_UQS(model_checkpoint=m2,context=context,question=question)
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- elif model_choice=="m3":
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- return model_performance_UQS(model_checkpoint=m3,context=context,question=question)
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- elif model_choice=="m4":
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- return model_performance_UQS(model_checkpoint=m4,context=context,question=question)
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- elif model_choice=="m5":
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- return model_performance_UQS(model_checkpoint=m5,context=context,question=question)
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- elif model_choice=="m6":
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- return model_performance_UQS(model_checkpoint=m6,context=context,question=question)
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- elif model_choice=="m7":
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- return model_performance_UQS(model_checkpoint=m7,context=context,question=question)
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- elif model_choice=="m8":
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- return model_performance_UQS(model_checkpoint=m8,context=context,question=question)
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  Interface=gr.Interface(
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  fn = predict,
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- inputs = [gr.inputs.Dropdown(["m1","m2","m3","m4","m5","m6","m7","m8"],"value"),gr.inputs.Textbox(lines=7, default=context, label="Context Paragraph"), gr.inputs.Textbox(lines=2, default=question, label="Question")],
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  outputs = [gr.outputs.Textbox(label="Answer"), gr.outputs.Textbox(label="Score")]
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  ).launch(debug=True)
 
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  m1 = gr.Interface.load("huggingface/amitjohn007/albert-finetuned-squad")
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  m2 = gr.Interface.load("huggingface/amitjohn007/bert-finetuned-squad")
 
 
 
 
 
 
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  def predict(model_choice,context,question):
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  if model_choice=="m1":
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+ return model_performance_UQS(model_checkpoint=m1,context=context,question=question)
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+ elif model_choice=="m2":
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+ return model_performance_UQS(model_checkpoint=m2,context=context,question=question)
 
 
 
 
 
 
 
 
 
 
 
 
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  Interface=gr.Interface(
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  fn = predict,
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+ inputs = [gr.inputs.Dropdown(["m1","m2"],"value"),gr.inputs.Textbox(lines=7, default=context, label="Context Paragraph"), gr.inputs.Textbox(lines=2, default=question, label="Question")],
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  outputs = [gr.outputs.Textbox(label="Answer"), gr.outputs.Textbox(label="Score")]
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  ).launch(debug=True)