Update app.py

app.py

@@ -25,7 +25,7 @@ def query(payload):
 API_URL_evidence = "https://api-inference.huggingface.co/models/google/flan-t5-xxl"
 headers_evidence = {"Authorization": HF_SPACES_API_KEY}
 
-# @st.cache(suppress_st_warning=True)
+@st.cache(suppress_st_warning=True)
 def query_evidence(payload):
 	response = requests.post(API_URL_evidence, headers=headers_evidence, json=payload)
 	return response.json()
@@ -145,7 +145,7 @@ import allennlp_models.tagging
 predictor = Predictor.from_path("structured-prediction-srl-bert.tar.gz")
 
 #---------------------------------------------------------------
-list_of_pronouns = ["I", "you", "he", "she", "it", "we", "they", "me", "him", "her", "us", "them", 
+list_of_pronouns = ["I","i", "you", "he", "she", "it", "we", "they", "me", "him", "her", "us", "them", 
             "mine", "yours", "his", "hers", "its", "ours", "theirs",
             "this", "that", "these", "those",
             "myself", "yourself", "himself", "herself", "itself", "ourselves", "yourselves", "themselves",
@@ -154,7 +154,7 @@ list_of_pronouns = ["I", "you", "he", "she", "it", "we", "they", "me", "him", "h
             "everybody", "everyone", "everything", "few", "many", "neither", "nobody", "none", "nothing",
             "one", "other", "several", "some", "somebody", "someone", "something"]
 #---------------------------------------------------------------
-# @st.cache
+@st.cache
 def srl(text):
     import re
     def remove_special_chars(text):