Update app.py
Browse files
app.py
CHANGED
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@@ -262,50 +262,6 @@ def ask_question(message, history):
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if agent_executor is None:
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return "❗ Chatbot not ready. Please upload and process a PDF first."
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# advisory_prompt = (
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# "Reterive policy information using PolicyRetrievalRAG tool and answer the user questions."
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# "Always use data returned by the policy. Do not makeup information."
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# )
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# advisory_prompt = (
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# "Use the PolicyRetrievalRAG tool to extract the most relevant clauses from the policy document. "
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# "Always base your response strictly on the actual policy content—do not fabricate or assume.\n\n"
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# "Respond strictly in this structured format:\n\n"
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# "Policy Details: \n"
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# "- Quote or paraphrase the most relevant clauses from the policy.\n\n"
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# "Simplified Explanation:\n"
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# "- Translate the policy language into simple, user-friendly language.\n\n"
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# "Advisor’s Practical Tip:\n"
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# "- Give actionable tips to help the user get the most from their policy.\n\n"
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# "Caveats and Exclusions:\n"
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# "- Mention any exclusions, limitations, or waiting periods.\n\n"
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# "Your tone should be empathetic and clear—like a smart, helpful insurance advisor.\n"
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# "Respond with text only. Do not use Emoji."
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# "Always include all four sections in the output.\n\n"
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# "---\n"
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# "### Example Response Format:\n"
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# "Policy Details:\n"
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# "- ...\n\n"
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# "Simplified Explanation:\n"
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# "- ...\n\n"
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# "Advisor’s Practical Tip:\n"
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# "- ...\n\n"
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# "Caveats and Exclusions:\n"
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# "- ...\n"
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# "---"
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# "---\n"
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# "### Example Response:\n"
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# "Policy Details:\n- The policy offers 24-month waiting period for pre-existing conditions.\n\n"
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# "Simplified Explanation:\n- You have to wait 2 years before claims related to past illnesses are covered.\n\n"
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# "Advisor’s Practical Tip:\n- Consider a top-up or rider that waives this waiting period.\n\n"
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# "Caveats and Exclusions:\n- Diabetes and hypertension are included in pre-existing illnesses list.\n\n"
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# )
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advisory_prompt = (
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"Use the PolicyRetrievalRAG tool to extract the most relevant clauses from the policy document. "
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"Always base your response strictly on the actual policy content — do not fabricate or assume.\n\n"
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@@ -372,43 +328,26 @@ with gr.Blocks(theme='shivi/calm_seafoam', title="📄 Insurance Policy AIdvisor
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)
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with gr.Tab("💬 Chatbot"):
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"https://em-content.zobj.net/source/twitter/141/parrot_1f99c.png", # User
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"https://em-content.zobj.net/source/twitter/141/robot-face_1f916.png" # Bot
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)
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)
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"Can I convert my group policy to an individual life insurance plan?",
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"How is the death benefit amount affected if I receive accelerated benefits?",
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"What happens if my dependent child turns 26 but is physically handicapped?",
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"Is proof of good health required if I request insurance after 31 days of eligibility?",
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"What is the process for reinstating my policy after a leave of absence?",
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"What support services are included along with the insurance plan?",
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"What happens if I stop paying my premium?",
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"Can the insurer make changes to the policy without my consent?",
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"How are premium rates determined and can they change?",
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"Are there any benefits if I die in an accident while wearing a seatbelt?",
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"What information does the insurer need from the policyholder?"
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],
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inputs=chat.textbox
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)
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with gr.Tab("System Design"):
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gr.Image(value="AIdvisor_devcon.png")
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if agent_executor is None:
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return "❗ Chatbot not ready. Please upload and process a PDF first."
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advisory_prompt = (
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"Use the PolicyRetrievalRAG tool to extract the most relevant clauses from the policy document. "
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"Always base your response strictly on the actual policy content — do not fabricate or assume.\n\n"
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)
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with gr.Tab("💬 Chatbot"):
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chat = gr.ChatInterface(fn=ask_question,
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title = "🤖 AIdvisor",
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chatbot=gr.Chatbot(
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avatar_images=(
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"https://em-content.zobj.net/source/twitter/141/parrot_1f99c.png", # User
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"https://em-content.zobj.net/source/twitter/141/robot-face_1f916.png" # Bot
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)
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)
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gr.Examples(
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examples=[
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"In what forms are the certificate avalaible?",
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"How many employees should enroll if the member is to not contribute premium?",
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"Can insurer contest this policy?",
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"when can insurer make changes to the policy?",
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"I gave incorrect age in the policy, what to do now?",
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"Can the data I filled in the application form to get the insurance policy be used against me?",
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inputs=chat.textbox
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)
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with gr.Tab("System Design"):
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gr.Image(value="AIdvisor_devcon.png")
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