app.py

import gradio as gr
import pandas as pd
from sentence_transformers import SentenceTransformer, util

# Load data
df = pd.read_csv("fatwas.csv")
model = SentenceTransformer("paraphrase-multilingual-MiniLM-L12-v2")
embeddings = model.encode(df["question"].tolist(), convert_to_tensor=True)

def search_fatwa(query):
    query_embedding = model.encode(query, convert_to_tensor=True)
    scores = util.pytorch_cos_sim(query_embedding, embeddings)[0]
    top_idx = int(scores.argmax())
    return {
        "question": df.iloc[top_idx]["question"],
        "answer": df.iloc[top_idx]["answer"],
        "link": df.iloc[top_idx]["link"]
    }

iface = gr.Interface(
    fn=search_fatwa,
    inputs="text",
    outputs="json",
    allow_flagging="never",
    title="Fatwa Search",
    description="Ask a question and receive a relevant fatwa with a verified link"
)

iface.launch()