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Sleeping
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Update app.py
Browse files
app.py
CHANGED
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@@ -125,7 +125,8 @@ async def lifespan(app: FastAPI):
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ml_models["reranker_compressor"] = CrossEncoderReranker(model=cross_encoder_model, top_n=9)
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ml_models["llm"] = ChatGoogleGenerativeAI(
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model="gemini-2.5-flash", #using flash 2.5 as its give better result but slower than lower flash
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api_key=GOOGLE_API_KEY,
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)
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@@ -148,7 +149,7 @@ Step 1 – **Initial Draft**:
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- Summarize relevant parts of the context without losing meaning.
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- Avoid boilerplate phrases like “the document states” or “according to the context.”
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- If the answer is not in the context for some subqueries, respond exactly with: " I do not know the answer of "subquery",Please ask query related to the Document only." for that subquery.
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Step 2 – **Critique & Revise**:
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- Review the initial answers for any missing or underused context.
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ml_models["reranker_compressor"] = CrossEncoderReranker(model=cross_encoder_model, top_n=9)
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ml_models["llm"] = ChatGoogleGenerativeAI(
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# model="gemini-2.5-flash", #using flash 2.5 as its give better result but slower than lower flash
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model="gemini-1.5-flash",
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api_key=GOOGLE_API_KEY,
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)
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| 149 |
- Summarize relevant parts of the context without losing meaning.
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| 150 |
- Avoid boilerplate phrases like “the document states” or “according to the context.”
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| 151 |
- If the answer is not in the context for some subqueries, respond exactly with: " I do not know the answer of "subquery",Please ask query related to the Document only." for that subquery.
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- Make sure that the You answer the query in the same language in which the query is asked.
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Step 2 – **Critique & Revise**:
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- Review the initial answers for any missing or underused context.
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