MohammedAlakhras commited on
Commit
debfe31
1 Parent(s): e6f5a57

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +18 -0
app.py CHANGED
@@ -1,5 +1,6 @@
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
 
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  # Define the device
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
@@ -21,6 +22,17 @@ def answer_question(
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  num_beams=2,
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  **kwargs,
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  ):
 
 
 
 
 
 
 
 
 
 
 
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  inputs = tokenizer(prompt, return_tensors="pt")
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  # Move the inputs to the device
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  inputs = {key: val.to(device) for key, val in inputs.items()}
@@ -60,4 +72,10 @@ Hi i have sore lumps under the skin on my legs. they started on my left ankle an
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  ### Response:
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  """
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  print(answer_question(example_prompt))
 
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  import torch
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  from transformers import AutoModelForCausalLM, AutoTokenizer, GenerationConfig
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+ import gradio as gr
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  # Define the device
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
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  num_beams=2,
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  **kwargs,
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  ):
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+ prompt="""
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+ Below is an instruction that describes a task, paired with an input that provides further context.Write a response that appropriately completes the request.
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+
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+ ### Instruction:
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+ If you are a doctor, please answer the medical questions based on the patient's description.
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+
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+ ### Input:
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+ """+prompt+"""
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+
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+ ### Response:
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+ """
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  inputs = tokenizer(prompt, return_tensors="pt")
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  # Move the inputs to the device
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  inputs = {key: val.to(device) for key, val in inputs.items()}
 
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  ### Response:
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  """
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+ def gui_interface(prompt):
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+ return answer_question(prompt)
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+
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+ iface = gr.Interface(fn=gui_interface, inputs="text", outputs="text")
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+ iface.launch()
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+
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  print(answer_question(example_prompt))