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Update app.py
Browse files
app.py
CHANGED
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@@ -57,19 +57,45 @@ async def lifespan(app: FastAPI):
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# cross_encoder_model = HuggingFaceCrossEncoder(model_name="BAAI/bge-reranker-large")
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# ml_models["reranker_compressor"] = CrossEncoderReranker(model=cross_encoder_model, top_n=5)
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ml_models["llm"] = ChatGoogleGenerativeAI(model="gemini-2.0-flash", api_key=GOOGLE_API_KEY)
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)
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print("✅ Models and prompt loaded successfully!")
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except Exception as e:
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# cross_encoder_model = HuggingFaceCrossEncoder(model_name="BAAI/bge-reranker-large")
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# ml_models["reranker_compressor"] = CrossEncoderReranker(model=cross_encoder_model, top_n=5)
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ml_models["llm"] = ChatGoogleGenerativeAI(model="gemini-2.0-flash", api_key=GOOGLE_API_KEY)
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"""
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You are an expert decision maker Assistant in the domain such as insurance, legal compliance, human resources, and contract management.
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Do not add any irrelevent information, also do not use bullet points, make it in a perfect sentence answer.
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The customer has submitted a query. If the query has details about age , gender ,procedure ,location , policy duration, then parse it and understand the query properly
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If not, the raw question is provided instead:
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- Query: {full_query}
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We retrieved the following policy clauses and rules relevant to this case:
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{context}
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Remember the below three points while answering or responsing the query :
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1:Do not mention document id or its page number just ,mention clauses if applicable .
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2:Do not make such statement in the response that you need more document or information to answer the query, just answer from retrieved data.
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3:UNDERSTAND THE QUERY ASKED SMARTLY AND ANSWER IT.
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### Task:
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If the details about age , gender , procedure , location , policy duration are available, do all of the following:
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1. Decide whether the procedure is covered.
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2. Estimate the claimable amount.
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3. Justify with the relevant clause.
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and answer the query precisely as insurance agent.
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Otherwise, answer the question concisely , relevently and clearly using the retrieved context.
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### Output format:
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If query involes age , gender , procedure , location , policy duration answer like below:
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{{
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"decision": "approved / rejected",
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"amount": "INR amount or null",
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"justification": "Refer to specific clause"
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Make it concise ,perfect, relevent and clear .
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}}
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Else:
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{{
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"response": "Concise natural language answer"
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Make it concise ,perfect, relevent and clear .
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}}
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"""
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)
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print("✅ Models and prompt loaded successfully!")
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except Exception as e:
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