Create app.py

app.py

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+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()