import gradio as gr
import requests
import os

# Token environment variable olarak alınır (Settings > Variables'da tanımlandı)
HF_API_KEY = os.getenv("HF_API_KEY")

def ask_model(prompt):
    headers = {"Authorization": f"Bearer {HF_API_KEY}"}
    data = {"inputs": prompt}

    response = requests.post(
            "https://router.huggingface.co/hf-inference/mistralai/Mistral-7B-Instruct-v0.2",
        headers=headers,
        json=data
    )

    if response.status_code == 200:
        result = response.json()
        if isinstance(result, list) and len(result) > 0 and "generated_text" in result[0]:
            return result[0]["generated_text"]
        else:
            return str(result)
    else:
        return f"Error: {response.status_code} - {response.text}"

# Gradio arayüzü
iface = gr.Interface(
    fn=ask_model,
    inputs="text",
    outputs="text",
    title="Flutter AI Proxy",
    description="Flutter uygulaman buraya istek atacak, model yanıt dönecek."
)

iface.launch()