Update app.py

app.py

@@ -13,6 +13,11 @@ For more information on `huggingface_hub` Inference API support, please check th
 """
 client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 model = SentenceTransformer('intfloat/multilingual-e5-large-instruct')
+examples=[
+    ["Why is men created?"],
+    ["Please tell me about superstition!"],
+    ["How moses defeat pharaoh?"],
+]
 
 def get_detailed_instruct(task_description: str, query: str) -> str:
         return f'Instruct: {task_description}\nQuery: {query}'
@@ -40,13 +45,14 @@ def respond(
     queries = [
         get_detailed_instruct(task, message)
     ]
+    examples.append[message]
 
     query_embeddings = model.encode(queries, convert_to_tensor=True, normalize_embeddings=True)
     scores = (query_embeddings @ encoded_questions.T) * 100
     selected_references['similarity'] = scores.tolist()[0]
     sorted_references = selected_references.sort_values(by='similarity', ascending=False)
     print(sorted_references.shape[0])
-    sorted_references = sorted_references.iloc[:3]
+    sorted_references = sorted_references.iloc[:1]
     sorted_references = sorted_references.sort_values(by='similarity', ascending=True)
     print(sorted_references.shape[0])
     print(sorted_references['similarity'].tolist())
@@ -139,11 +145,7 @@ demo = gr.ChatInterface(
         ),
     ], 
     cache_examples="lazy",
-    examples=[
-                ["Why is men created?"],
-                ["Please tell me about superstition!"],
-                ["How moses defeat pharaoh?"],
-            ],
+    examples=examples,
 )
 
 if __name__ == "__main__":