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from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel
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from fpdf import FPDF
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import tempfile
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clinical_agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=HfApiModel())
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def generate_clinical_content(topic, audience):
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"""Generates medical content based on topic and audience."""
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prompt = f"Write a detailed medical article on: {topic}.\nTarget Audience: {audience}.\nInclude latest medical research insights."
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return clinical_agent.run(prompt)
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def generate_summary(content):
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"""Summarizes a given clinical document or research paper."""
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summary_prompt = f"Summarize the following medical research:\n{content}"
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return clinical_agent.run(summary_prompt)
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def generate_soap_note(symptoms, history):
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"""Generates a SOAP Note for clinicians based on symptoms and patient history."""
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soap_prompt = (
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f"Create a structured SOAP Note for a patient with:\n"
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f"Symptoms: {symptoms}\n"
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f"History: {history}\n"
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f"Include Assessment & Plan."
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)
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return clinical_agent.run(soap_prompt)
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def save_as_text(content, filename):
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"""Saves AI-generated content as a TXT file."""
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with tempfile.NamedTemporaryFile(delete=False, suffix=".txt") as tmp_file:
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tmp_file.write(content.encode())
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return tmp_file.name, filename
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def save_as_pdf(content, filename):
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"""Saves AI-generated content as a PDF file."""
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with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_file:
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pdf = FPDF()
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(0, 10, content)
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pdf.output(tmp_file.name)
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return tmp_file.name, filename
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