Delete agent.py

agent.py

@@ -1,25 +0,0 @@
-# agent.py (Updated for Hugging Face inference with FLAN-T5)
-
-from transformers import pipeline
-
-# Load the Hugging Face inference pipeline
-qa_pipeline = pipeline("text2text-generation", model="google/flan-t5-base")
-
-def answer_question(question: str, file_context: str = None, do_search: bool = False) -> str:
-    """
-    Answers the question using file context (if any) with a Hugging Face model.
-
-    Args:
-        question (str): The question to be answered.
-        file_context (str, optional): Optional context extracted from a file.
-        do_search (bool): Ignored for local mode.
-
-    Returns:
-        str: The generated answer.
-    """
-    prompt = question if not file_context else f"Context: {file_context}\nQuestion: {question}"
-    try:
-        result = qa_pipeline(prompt, max_length=256, do_sample=False)
-        return result[0]["generated_text"].strip()
-    except Exception as e:
-        return f"[ERROR] Hugging Face pipeline failed: {e}"