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data_processing.py

@@ -1,5 +1,5 @@
 import numpy as np
-from langchain.vectorstores import faiss
+import faiss
 from langchain.embeddings import HuggingFaceEmbeddings
 from sentence_transformers import SentenceTransformer
 from datasets import load_dataset

evaluation.py

@@ -8,14 +8,15 @@ ground_truth_answer = ''
 ground_truth_metrics = {}
 
 
-def calculate_metrics(question, response, docs,data):
+def calculate_metrics(question, response, docs,data, time_taken):
     retrieve_ground_truths(question,data)
     # Predicted metrics
     predicted_metrics = {
         "context_relevance": context_relevance(question, docs),
         "context_utilization": context_utilization(response, docs),
         "completeness": completeness(response, ground_truth_answer),
-        "adherence": adherence(response, docs)
+        "adherence": adherence(response, docs),
+        "response_time" : time_taken
     }
     return predicted_metrics