agent.py

from transformers import pipeline
from tools.asr_tool import transcribe_audio
from tools.excel_tool import analyze_excel
from tools.search_tool import search_duckduckgo
import mimetypes


class GaiaAgent:
    def __init__(self):
        print("Loading model...")
        self.model = pipeline(
            "text2text-generation",
            model="MBZUAI/LaMini-Flan-T5-783M",
            tokenizer="MBZUAI/LaMini-Flan-T5-783M"
        )
        print("Model loaded.")

    def __call__(self, query):
        trace = ""
        final_answer = ""

        # Försök identifiera om det är en filreferens
        if isinstance(query, str) and (query.endswith(".mp3") or query.endswith(".wav")):
            trace = "Detected audio file. Transcribing..."
            final_answer = transcribe_audio(query)

        elif isinstance(query, str) and (query.endswith(".xls") or query.endswith(".xlsx")):
            trace = "Detected Excel file. Analyzing..."
            final_answer = analyze_excel(query)

        elif "http" in query:
            trace = "Detected URL or web reference. Performing search..."
            final_answer = search_duckduckgo(query)

        else:
            trace = "General question. Using local model..."
            output = self.model(query, max_new_tokens=128)
            final_answer = output[0]["generated_text"].strip()

        return final_answer, trace