app.py

import os
import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline

model_id = "mistralai/Mistral-7B-Instruct-v0.3"
hf_token = os.environ.get("hf_token")  # Space Secret olarak tanımladın

tokenizer = AutoTokenizer.from_pretrained(model_id, token=hf_token)
model = AutoModelForCausalLM.from_pretrained(model_id, token=hf_token, device_map="auto")

pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)

def bust_myth(statement):
    prompt = f"""
You are a cultural myth-busting assistant.
Your task is to:
1. Determine if the following statement is true, false, or partially true.
2. If it's a misconception, explain why it's incorrect.
3. Provide the correct information with a short cultural context.

Statement: "{statement}"
"""
    result = pipe(prompt, max_new_tokens=300, temperature=0.7)[0]["generated_text"]
    return result

gr.Interface(
    fn=bust_myth,
    inputs=gr.Textbox(label="Enter a cultural or world belief", lines=3, placeholder="E.g. All Canadians live in igloos."),
    outputs="text",
    title="🌍 World Fact & Misconception Buster",
    description="Enter a statement about a country, culture, or people. The AI will fact-check and explain it."
).launch()