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Update app.py
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app.py
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@@ -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")
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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()}
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@@ -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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### 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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### Input:
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"""+prompt+"""
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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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iface = gr.Interface(fn=gui_interface, inputs="text", outputs="text")
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iface.launch()
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print(answer_question(example_prompt))
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