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	Create qa.py
Browse files- agents/qa.py +27 -0
    	
        agents/qa.py
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            from langchain_core.messages import AIMessage
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            from utils.inference import call_model
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            def run(state):
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                html = state["html_output"]
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                iteration = state["iteration"]
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                prompt = f"""You are a QA engineer. Review the following HTML code:
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            {html}
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            Evaluate the UI for:
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            1. Visual quality
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            2. Responsiveness
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            3. Code correctness
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            4. Functional completeness
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            If it is perfect, reply only with 'APPROVED'.
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            If not, list clear improvements required."""
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                output = call_model(prompt)
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                done = "APPROVED" in output.upper()
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                return {
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                    "messages": state["messages"] + [AIMessage(content=output)],
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                    "qa_feedback": output,
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                    "iteration": iteration + 1,
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                    "done": done
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                }
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