Delete gp_referral_toolkit directory

gp_referral_toolkit/community-contributions/gp_referral_toolkit/README.md

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-

gp_referral_toolkit/referral_letter_bot.py

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-import openai
-
-# Step 1: Summarize the patient consultation note
-def summarize_patient_note(note_text):
-    response = openai.chat.completions.create(
-        model="gpt-4o-mini",
-        messages=[
-            {"role": "user", "content": f"Please summarize the following patient consultation note in a clear, clinical style:\n\n{note_text}"}
-        ]
-    )
-    return response.choices[0].message.content
-
-# Step 2: Generate a specialist referral letter
-def generate_referral_letter(summary_text, specialist_type):
-    system_prompt = f"You are an experienced general practitioner. Based on the consultation summary, write a concise, professional referral letter to a {specialist_type}."
-
-    response = openai.chat.completions.create(
-        model="gpt-4o-mini",
-        messages=[
-            {"role": "system", "content": system_prompt},
-            {"role": "user", "content": f"Consultation summary:\n\n{summary_text}"}
-        ]
-    )
-    return response.choices[0].message.content
-
-# Main logic
-if __name__ == "__main__":
-    try:
-        with open('patient_note.txt', 'r', encoding='utf-8') as file:
-            patient_note = file.read()
-
-        # Step 1: Summarize the note
-        summary = summarize_patient_note(patient_note)
-        print("\n🩺 Consultation Summary:")
-        print(summary)
-
-        # Step 2: Ask user which specialist to refer to
-        specialist = input("\n➡️  Which specialist is this referral for (e.g., cardiologist, neurologist)?\n")
-
-        # Step 3: Generate the referral letter
-        referral_letter = generate_referral_letter(summary, specialist)
-        print("\n📨 Generated Referral Letter:\n")
-        print(referral_letter)
-
-    except FileNotFoundError:
-        print("❌ The file 'patient_note.txt' was not found. Please ensure it exists in the project folder.")