app.py

import gradio as gr
import requests
from transformers import pipeline

# Model: Mistral-7B-Instruct-v0.2 (instruct-savvy)
model_name = "mistralai/Mistral-7B-Instruct-v0.2"
chat = pipeline("text-generation",
                model=model_name,
                torch_dtype="auto",
                device_map="auto",
                trust_remote_code=True,
                max_new_tokens=512)

# AlpDroid promptunu GitHub'dan çek
prompt_url = "https://raw.githubusercontent.com/ALPERALL/AlpDroid/main/prompt.txt"
system_prompt = requests.get(prompt_url).text

def alp_droid_chat(user_input):
    full_prompt = system_prompt + "\n\nKullanıcı: " + user_input + "\nAlpDroid:"
    output = chat(full_prompt, temperature=0.7, top_p=0.9)[0]["generated_text"]
    return output.split("AlpDroid:")[-1].strip()

iface = gr.Interface(fn=alp_droid_chat,
                     inputs=gr.Textbox(lines=4, placeholder="Sorunu yaz..."),
                     outputs="text",
                     title="AlpDroid (Mistral‑7B‑Instruct‑v0.2)",
                     description="Mistral‑7B‑Instruct‑v0.2 tabanlı AlpDroid asistanı.")
iface.launch()