Update app.py

app.py

@@ -519,7 +519,7 @@ def chunk_documents(texts: List[str], metadatas: List[dict], dense_model: Optimu
         documents.append(doc.page_content)
 
     start_dense = time.time()
-    dense_embeddings = dense_model.encode(documents, pooling_params=PoolingParams(pooling_type=PoolingType.MEAN))
+    dense_embeddings = dense_model.encode(documents)
     print(f'DENSE EMBED : {dense_embeddings}')
     end_dense = time.time()
     final_dense = end_dense - start_dense
@@ -897,7 +897,7 @@ if __name__ == '__main__':
                     weakDict, tables = ppt_chunk(uploaded_file, nlp)
                     documents = weakDict.all_texts()
 
-                    dense = dense_model.encode(documents, pooling_params=PoolingParams(pooling_type=PoolingType.MEAN))
+                    dense = dense_model.encode(documents)
                     dense = [_embedding.outputs.embedding for _embedding in dense]
                     sparse = [s for s in sparse_model.embed(documents, 32)]