paulhemb commited on
Commit
7b063e5
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1 Parent(s): c8ff9d4

Update chat/rag_engine.py

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bugs fixed related to quote

Files changed (1) hide show
  1. chat/rag_engine.py +6 -6
chat/rag_engine.py CHANGED
@@ -503,7 +503,7 @@ class RoleBasedReasoning:
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  Query: {query}
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  Respond with a friendly greeting and invitation to ask questions. Keep it brief and welcoming.
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- Example: "Hello! I'm here to help answer your health questions in simple, clear terms. What would you like to know?""""
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  elif role == 'student':
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  return f"""You are teaching a student.
@@ -511,7 +511,7 @@ Example: "Hello! I'm here to help answer your health questions in simple, clear
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  Query: {query}
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  Respond with an encouraging greeting that invites learning questions.
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- Example: "Hi there! I'm here to help you learn about medical topics. What are you curious about today?""""
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  elif role in ['clinician', 'doctor']:
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  return f"""You are assisting a healthcare professional.
@@ -519,7 +519,7 @@ Example: "Hi there! I'm here to help you learn about medical topics. What are yo
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  Query: {query}
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  Respond with a professional greeting appropriate for clinical setting.
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- Example: "Hello. I'm ready to assist with evidence-based medical information. How can I help you today?""""
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  elif role in ['researcher', 'professor']:
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  return f"""You are assisting an academic professional.
@@ -527,7 +527,7 @@ Example: "Hello. I'm ready to assist with evidence-based medical information. Ho
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  Query: {query}
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  Respond with a scholarly greeting that invites research questions.
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- Example: "Greetings. I'm available to discuss research topics and evidence-based analysis. What would you like to explore?""""
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  elif role == 'pharmacist':
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  return f"""You are assisting a pharmacy professional.
@@ -535,7 +535,7 @@ Example: "Greetings. I'm available to discuss research topics and evidence-based
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  Query: {query}
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  Respond with a professional greeting focused on medication information.
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- Example: "Hello. I can help with medication-related questions and information. How can I assist you today?""""
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  else: # general
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  return f"""You are assisting a general user.
@@ -543,7 +543,7 @@ Example: "Hello. I can help with medication-related questions and information. H
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  Query: {query}
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  Respond with a friendly, welcoming greeting.
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- Example: "Hello! I'm your Medical Research Assistant. I can help with evidence-based information across various specialties. How can I assist you today?""""
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  # For substantive queries, use role-appropriate analysis
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  role_prompt = role_info['prompt']
 
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  Query: {query}
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  Respond with a friendly greeting and invitation to ask questions. Keep it brief and welcoming.
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+ Example: "Hello! I'm here to help answer your health questions in simple, clear terms. What would you like to know?"""
507
 
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  elif role == 'student':
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  return f"""You are teaching a student.
 
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  Query: {query}
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  Respond with an encouraging greeting that invites learning questions.
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+ Example: "Hi there! I'm here to help you learn about medical topics. What are you curious about today?"""
515
 
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  elif role in ['clinician', 'doctor']:
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  return f"""You are assisting a healthcare professional.
 
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  Query: {query}
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  Respond with a professional greeting appropriate for clinical setting.
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+ Example: "Hello. I'm ready to assist with evidence-based medical information. How can I help you today?"""
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  elif role in ['researcher', 'professor']:
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  return f"""You are assisting an academic professional.
 
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  Query: {query}
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  Respond with a scholarly greeting that invites research questions.
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+ Example: "Greetings. I'm available to discuss research topics and evidence-based analysis. What would you like to explore?"""
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  elif role == 'pharmacist':
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  return f"""You are assisting a pharmacy professional.
 
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  Query: {query}
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  Respond with a professional greeting focused on medication information.
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+ Example: "Hello. I can help with medication-related questions and information. How can I assist you today?"""
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  else: # general
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  return f"""You are assisting a general user.
 
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  Query: {query}
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  Respond with a friendly, welcoming greeting.
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+ Example: "Hello! I'm your Medical Research Assistant. I can help with evidence-based information across various specialties. How can I assist you today?"""
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  # For substantive queries, use role-appropriate analysis
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  role_prompt = role_info['prompt']