Delete quality_assurance_agent.py

quality_assurance_agent.py

@@ -1,44 +0,0 @@
-from transformers import AutoTokenizer, AutoModelForCausalLM
-import torch
-from langchain_core.messages import AIMessage
-
-MODEL_REPO = "Rahul-8799/quality_assurance_stablecode"
-
-tokenizer = AutoTokenizer.from_pretrained(MODEL_REPO, trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained(
-    MODEL_REPO,
-    torch_dtype=torch.float16,
-    device_map="auto"
-)
-
-def run(state: dict) -> dict:
-    """Reviews UI/UX implementation and suggests improvements for better user experience"""
-    messages = state["messages"]
-    prompt = messages[-1].content
-    
-    # Enhance the prompt with UI/UX quality checks
-    enhanced_prompt = f"""
-    Review the UI implementation and check for:
-    1. Proper spacing and alignment
-    2. Consistent styling and theming
-    3. Responsive design implementation
-    4. Accessibility compliance
-    5. Visual hierarchy
-    6. Component reusability
-    7. Performance optimization
-    8. Cross-browser compatibility
-    9. Mobile responsiveness
-    10. User interaction patterns
-    
-    Original code: {prompt}
-    """
-    
-    input_ids = tokenizer(enhanced_prompt, return_tensors="pt").input_ids.to(model.device)
-    output_ids = model.generate(input_ids, max_new_tokens=3000)
-    output = tokenizer.decode(output_ids[0], skip_special_tokens=True)
-
-    return {
-        "messages": [AIMessage(content=output)],
-        "chat_log": state["chat_log"] + [{"role": "Quality Assurance", "content": output}],
-        "qa_output": output,
-    }