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Better models choice
Browse files- app.py +4 -4
- rag_system.py +11 -5
app.py
CHANGED
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@@ -169,11 +169,11 @@ def create_interface():
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llm_model = gr.Dropdown(
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choices=[
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"
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"
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"
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],
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value="
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label=t('llm_model')
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)
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llm_model = gr.Dropdown(
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choices=[
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"meta-llama/Llama-3.2-1B-Instruct",
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"Qwen/Qwen3-1.7B",
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"ibm-granite/granite-4.0-micro",
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],
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value="meta-llama/Llama-3.2-1B-Instruct",
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label=t('llm_model')
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)
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rag_system.py
CHANGED
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@@ -177,14 +177,13 @@ class RAGSystem:
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) -> Tuple[str, str]:
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"""Generate answer using LLM"""
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if self.llm_client is None:
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self.set_llm_model("
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# Build context from retrieved chunks
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context = "\n\n".join([chunk for chunk, _ in retrieved_chunks])
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# Create prompt
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prompt = f"""
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If you cannot answer based on the context, say so.
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Context:
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{context}
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@@ -199,9 +198,16 @@ Answer:"""
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prompt,
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max_new_tokens=max_tokens,
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temperature=temperature,
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)
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except Exception as e:
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return f"Error generating response: {str(e)}", prompt
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) -> Tuple[str, str]:
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"""Generate answer using LLM"""
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if self.llm_client is None:
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self.set_llm_model("meta-llama/Llama-3.2-1B-Instruct")
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# Build context from retrieved chunks
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context = "\n\n".join([chunk for chunk, _ in retrieved_chunks])
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# Create prompt
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prompt = f"""Use the following context to answer the question. If you cannot answer based on the context, say so.
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Context:
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{context}
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prompt,
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max_new_tokens=max_tokens,
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temperature=temperature,
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do_sample=temperature > 0,
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)
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# Clean up response
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if isinstance(response, str):
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answer = response.strip()
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else:
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answer = str(response).strip()
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return answer, prompt
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except Exception as e:
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return f"Error generating response: {str(e)}", prompt
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