Moved system and welcome messages to be together
Browse files
app.py
CHANGED
@@ -110,31 +110,6 @@ def chat_with_model(messages, pid):
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pad_id = current_tokenizer.pad_token_id or current_tokenizer.unk_token_id or 0
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eos_id = current_tokenizer.eos_token_id
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# Build system context
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system_messages = [
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{
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"role": "system",
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"content": (
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"You are a radiologist's companion, here to answer questions about the patient and assist in the diagnosis if asked to do so. "
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"You are able to call specialized tools. "
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"At the moment, you have one tool available: an organ segmentation algorithm for abdominal CTs.\n\n"
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"If the user requests an organ segmentation, output a JSON object in this structure:\n"
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"{\n"
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" \"function\": \"segment_organ\",\n"
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" \"arguments\": {\n"
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" \"scan_path\": \"<path_to_ct_scan>\",\n"
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" \"organ\": \"<organ_name>\"\n"
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" }\n"
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"}\n\n"
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"Once you call the function, the app will execute it and return the result."
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)
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},
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{
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"role": "system",
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"content": f"Patient Information:\nName: {patient_name.value}\nAge: {patient_age.value}\nID: {patient_id.value}\nNotes: {patient_notes.value}"
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}
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]
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# FULL conversation
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full_messages = system_messages + messages
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@@ -284,21 +259,46 @@ def load_patient_conversation(patient_key):
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patient_id_val = patient_db[patient_key]["id"]
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history = patient_conversations.get(patient_id_val, [])
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if not history:
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"content": (
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"
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"You
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return history
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return []
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pad_id = current_tokenizer.pad_token_id or current_tokenizer.unk_token_id or 0
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eos_id = current_tokenizer.eos_token_id
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# FULL conversation
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full_messages = system_messages + messages
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patient_id_val = patient_db[patient_key]["id"]
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history = patient_conversations.get(patient_id_val, [])
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if not history:
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system_message = [
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{
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"role": "system",
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"content": (
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"You are a radiologist's companion, here to answer questions about the patient and assist in the diagnosis if asked to do so. "
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"You are able to call specialized tools. "
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"At the moment, you have one tool available: an organ segmentation algorithm for abdominal CTs.\n\n"
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"If the user requests an organ segmentation, output a JSON object in this structure:\n"
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"{\n"
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" \"function\": \"segment_organ\",\n"
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" \"arguments\": {\n"
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" \"scan_path\": \"<path_to_ct_scan>\",\n"
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" \"organ\": \"<organ_name>\"\n"
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" }\n"
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"}\n\n"
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"Once you call the function, the app will execute it and return the result."
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)
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},
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{
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"role": "system",
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"content": f"Patient Information:\nName: {patient_name.value}\nAge: {patient_age.value}\nID: {patient_id.value}\nNotes: {patient_notes.value}"
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}
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]
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welcome_message = [
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{
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"role": "assistant",
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"content": (
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"**Welcome to the Radiologist's Companion!**\n\n"
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"You can ask me about the patient's medical history or available imaging data.\n"
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"- I can summarize key details from the EHR.\n"
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"- I can tell you which medical images are available.\n"
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"- If you'd like an organ segmentation (e.g. spleen, liver, kidney_left, colon, femur_right) on an abdominal CT scan, just ask!\n\n"
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"**Example Requests:**\n"
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"- \"What do we know about this patient?\"\n"
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"- \"Which images are available for this patient?\"\n"
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"- \"Can you segment the spleen from the CT scan?\"\n"
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)
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}
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]
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history = system_message + welcome_message
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return history
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return []
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