Update app.py

app.py

@@ -4,18 +4,26 @@ from sentence_transformers import SentenceTransformer, util
 
 # Load data
 df = pd.read_excel("IslamWeb_output.xlsx")
-
+df2 = pd.read_excel("JordanFatwas_all.xlsx")
 model = SentenceTransformer("paraphrase-multilingual-MiniLM-L12-v2")
 embeddings = model.encode(df["question"].tolist(), convert_to_tensor=True)
 
+embeddings2 = model.encode(df2["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())
+    
+    scores2 = util.pytorch_cos_sim(query_embedding, embeddings2)[0]
+    top_idx2 = int(scores2.argmax())
     return {
-        "question": df.iloc[top_idx]["question"],
-        "answer": df.iloc[top_idx]["answer"],
-        "link": df.iloc[top_idx]["link"]
+        "question1": df.iloc[top_idx]["question"],
+        "answer1": df.iloc[top_idx]["answer"],
+        "link1": df.iloc[top_idx]["link"],
+        "question2": df2.iloc[top_idx2]["question"],
+        "answer2": df2.iloc[top_idx2]["answer"],
+        "link2": df2.iloc[top_idx2]["link"],
     }
 
 iface = gr.Interface(