app.py

import gradio as gr
from transformers import pipeline

clf = pipeline("sentiment-analysis",
               model="distilbert-base-uncased-finetuned-sst-2-english")

def analyze(text):
    text = (text or "").strip()
    if not text: return "⚠️ Lütfen kısa bir metin girin."
    out = clf(text)[0]
    emo = "😊" if out["label"] == "POSITIVE" else "😞"
    return f"{emo} {out['label']} (güven: {out['score']:.2f})"

demo = gr.Interface(fn=analyze,
                    inputs=gr.Textbox(lines=4, label="Metin"),
                    outputs="text",
                    title="Hafif LLM: Duygu Analizi")
demo.launch(server_name="0.0.0.0", server_port=7860)