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Update app.py
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app.py
CHANGED
@@ -17,6 +17,25 @@ tokenizer = AutoTokenizer.from_pretrained(model_name, trust_remote_code=True)
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tokenizer.pad_token = tokenizer.eos_token
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@spaces.GPU
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def askme(symptoms, question):
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template = [
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{"role": "system", "content": "You are an AI Medical Assistant trained on a vast dataset of health information. Please be thorough and provide an informative answer. If you don't know the answer to a specific medical inquiry, advise seeking professional help."},
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{"role": "user", "content": f"Symptoms: {symptoms}\nQuestion: {question}\n"},
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@@ -30,14 +49,6 @@ def askme(symptoms, question):
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return response_text
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examples = [
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["headache", "What are the possible causes of a headache?"],
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["fever", "How can I treat a fever at home?"],
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["cough", "What are the symptoms of a cough?"],
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["chest pain", "What are the possible causes of chest pain?"],
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]
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# Example usage
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symptoms = '''\
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I'm a 35-year-old male and for the past few months, I've been experiencing fatigue,
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tokenizer.pad_token = tokenizer.eos_token
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@spaces.GPU
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def askme(symptoms, question):
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sys_message = '''\
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You are an AI Medical Assistant trained on a vast dataset of health information. Please be thorough and
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provide an informative answer. If you don't know the answer to a specific medical inquiry, advise seeking professional help.
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'''
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content = symptoms + " " + question
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messages = [{"role": "system", "content": sys_message}, {"role": "user", "content": content}]
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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inputs = tokenizer(prompt, return_tensors="pt").to(device) # Ensure inputs are on CUDA device
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outputs = model.generate(**inputs, max_new_tokens=200, use_cache=True)
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response_text = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0].strip()
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# Remove system messages and content
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# Extract and return the generated text, removing the prompt
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# Extract only the assistant's response
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answer = response_text.split('<|im_start|>assistant')[-1].strip()
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#answer =response_text.split("assistant")[1].strip().split("user")[0].strip()
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return answer
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def askmeold(symptoms, question):
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template = [
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{"role": "system", "content": "You are an AI Medical Assistant trained on a vast dataset of health information. Please be thorough and provide an informative answer. If you don't know the answer to a specific medical inquiry, advise seeking professional help."},
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{"role": "user", "content": f"Symptoms: {symptoms}\nQuestion: {question}\n"},
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return response_text
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# Example usage
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symptoms = '''\
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I'm a 35-year-old male and for the past few months, I've been experiencing fatigue,
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