ui.py

import gradio as gr
import tempfile  # Bu satır eksikti
from ocr_engine import extract_text_from_image
from pdf_reader import extract_text_from_pdf
from summarizer import summarize_text

def process_input(pdf, image, manual_text, mode, model_name):
    if pdf is not None:
        text = extract_text_from_pdf(pdf)
    elif image is not None:
        text = extract_text_from_image(image)
    elif manual_text.strip() != "":
        text = manual_text
    else:
        return "Lütfen bir giriş türü seçin.", "", None

    if "[ERROR]" in text:
        return text, "", None

    summary = summarize_text(text, mode, model_name)

    temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".txt", mode='w', encoding='utf-8')
    temp_file.write(summary)
    temp_file.close()

    return text, summary, temp_file.name

with gr.Blocks() as demo:
    gr.Markdown("## VizSum")

    with gr.Row():
        pdf_input = gr.File(label="PDF Yükle", file_types=[".pdf"])
        image_input = gr.Image(type="filepath", label="Görsel Yükle")

    manual_input = gr.Textbox(lines=5, label="Metni Manuel Gir")

    mode_selector = gr.Dropdown(
    choices=[
        "Teknik Özet",
        "Sade Anlatım",
        "Eleştir ve Değerlendir",
        "Başlık Çıkar",
        "Not Formatı",
        "Karma Özet"  # 🔥 Yeni mod
    ],
    label="Özetleme Modu",
    value="Teknik Özet"
)


    model_selector = gr.Dropdown(
        choices=[
            "anthropic/claude-3-haiku",
            "openai/gpt-3.5-turbo",
            "mistralai/mistral-7b-instruct"
        ],
        label="Dil Modeli",
        value="anthropic/claude-3-haiku"
    )

    with gr.Row():
        submit_btn = gr.Button("Özetle")

    with gr.Row():
        text_output = gr.Textbox(label="Giriş Metni")
        copy_status = gr.Textbox(visible=False)
        summary_output = gr.Textbox(label="AI Özeti", lines=10, show_copy_button=True)
        summary_file = gr.File(label="Özeti İndir", interactive=True)

    submit_btn.click(
        fn=process_input,
        inputs=[pdf_input, image_input, manual_input, mode_selector, model_selector],
        outputs=[text_output, summary_output, summary_file]
    )



if __name__ == "__main__":
    demo.launch(share=True)