Update app.py

app.py

@@ -76,14 +76,26 @@ def search_fatwa(data):
     query_embedding = model.encode(query, convert_to_tensor=True)
     top_idx = int(util.pytorch_cos_sim(query_embedding, embeddings)[0].argmax())
     top_idx2 = int(util.pytorch_cos_sim(query_embedding, embeddings2)[0].argmax())
-    return {
-        "question1": df.iloc[top_idx]["question"],
-        "link1": df.iloc[top_idx]["link"],
-        "question2": df2.iloc[top_idx2]["question"],
-        "link2": df2.iloc[top_idx2]["link"]
-    }
-
-iface = gr.Interface(fn=search_fatwa, inputs=[gr.Textbox(label="text", lines=3)], outputs="json")
+    # return {
+    #     "question1": df.iloc[top_idx]["question"],
+    #     "link1": df.iloc[top_idx]["link"],
+    #     "question2": df2.iloc[top_idx2]["question"],
+    #     "link2": df2.iloc[top_idx2]["link"]
+    # }
+    result = f"""Question 1: {df.iloc[top_idx]["question"]}
+        Link 1: {df.iloc[top_idx]["link"]}
+        
+        Question 2: {df2.iloc[top_idx2]["question"]}
+        Link 2: {df2.iloc[top_idx2]["link"]}"""
+        return result
+
+iface = gr.Interface(
+    fn=search_fatwa, 
+    inputs=[gr.Textbox(label="text", lines=3)], 
+    outputs="text"  # Changed from "json" to "text"
+)
+
+# iface = gr.Interface(fn=search_fatwa, inputs=[gr.Textbox(label="text", lines=3)], outputs="json")