modler_app.py

import gradio as gr
from ner_logic import ner_pipe, get_wiki_summary, refine_labels_batch
from ui_modules import create_ui_layout, format_entity_log

def process_ner(text):
    yield "Analiz Başlatıldı...", []
    final_results = []
    misc_buffer = []
    
    ents = ner_pipe(text)
    for ent in ents:
        w, l = ent['word'].strip(), ent['entity_group']
        if l in ["PER", "ORG", "LOC"]:
            final_results.append({"Varlık": w, "İlk": l, "Nihai": l, "Kaynak": "Model"})
        elif l == "MISC":
            wiki = get_wiki_summary(w) or "Bilgi yok."
            misc_buffer.append({"word": w, "wiki": wiki})

    if misc_buffer:
        responses = refine_labels_batch(misc_buffer, text)
        logs = []
        for item in misc_buffer:
            # Esnek isim eşleşmesi ile KeyError riskini azaltıyoruz
            res = next((r for r in responses if item['word'].lower() in r.get('varlik', '').lower()), {})
            
            reasoning = res.get('reasoning', 'Reasoning oluşturulamadı.')
            new_label = res.get('karar', 'MISC')
            
            logs.append(format_entity_log(item['word'], item['wiki'], reasoning, new_label))
            final_results.append({"Varlık": item['word'], "İlk": "MISC", "Nihai": new_label, "Kaynak": "RAG+LLM"})
            
            yield "".join(logs), [[r["Varlık"], r["İlk"], r["Nihai"], r["Kaynak"]] for r in final_results]
    else:
        yield "Tamamlandı.", [[r["Varlık"], r["İlk"], r["Nihai"], r["Kaynak"]] for r in final_results]

demo, inp, log, tbl, btn = create_ui_layout()
with demo:
    btn.click(process_ner, inputs=inp, outputs=[log, tbl])

if __name__ == "__main__":
    # Hugging Face ortamında auth gerekebilir veya kaldırılabilir
    demo.launch()