EmmaScharfmannBerkeley commited on
Commit
e3bf330
·
1 Parent(s): 9b9ab55

Update Climate_site/python_scripts/paper_functions.py

Browse files
Climate_site/python_scripts/paper_functions.py CHANGED
@@ -13,13 +13,6 @@ import matplotlib.pyplot as plt
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  import seaborn as sns
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  from math import radians, cos, sin, asin, sqrt
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- #import spacy
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- #spacy_nlp = spacy.load("en_core_web_lg")
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-
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- #@st.cache_resource
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- #def spacy_func():
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- # spacy_nlp = spacy.load("en_core_web_lg")
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- # return spacy_nlp
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  from sentence_transformers import SentenceTransformer, util
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@@ -29,9 +22,11 @@ def model_nlp():
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  return model
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  @st.cache_data # 👈 Add the caching decorator
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  def load_data():
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- url = "Synapse_project/Climate_site/python_scripts/institutions.tsv"
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  dic = pd.read_csv(url, delimiter = "\t" , index_col = 1).to_dict('index')
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  return dic
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@@ -102,7 +97,7 @@ def cosine_similarity2(vec_a, vec_b):
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  def print_extracted_text(name_file):
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- file = open('Synapse_project/Climate_site/python_scripts/iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  count = 0
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  for index, line in enumerate(lines):
@@ -116,7 +111,7 @@ def print_extracted_text(name_file):
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  def details(name_file , display):
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- file = open("Synapse_project/Climate_site/python_scripts/iea.txt", "r")
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  lines = file.readlines()
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  mark = 0
@@ -159,7 +154,7 @@ def details(name_file , display):
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  def key_initiatives(name_file , display ):
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- file = open('Synapse_project/Climate_site/python_scripts/iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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@@ -204,7 +199,7 @@ def key_initiatives(name_file , display ):
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  def deployment_target(name_file , display):
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- file = open('Synapse_project/Climate_site/python_scripts/iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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@@ -248,7 +243,7 @@ def deployment_target(name_file , display):
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  def cost_reduction_target(name_file , display):
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- file = open('Synapse_project/Climate_site/python_scripts/iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  mark = 0
@@ -293,7 +288,7 @@ def cost_reduction_target(name_file , display):
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  def key_words(name_file, display ):
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- file = open('Synapse_project/Climate_site/python_scripts/iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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@@ -372,7 +367,7 @@ def key_words(name_file, display ):
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  def technology(name_file, display ):
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  # Filepath too specific, need to change to relative path
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- file = open('Synapse_project/Climate_site/python_scripts/iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  list_categories = []
 
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  import seaborn as sns
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  from math import radians, cos, sin, asin, sqrt
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  from sentence_transformers import SentenceTransformer, util
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  return model
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+
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+ path = 'Climate_site/python_scripts/'
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  @st.cache_data # 👈 Add the caching decorator
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  def load_data():
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+ url = path + "institutions.tsv"
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  dic = pd.read_csv(url, delimiter = "\t" , index_col = 1).to_dict('index')
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  return dic
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  def print_extracted_text(name_file):
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+ file = open(path + 'iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  count = 0
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  for index, line in enumerate(lines):
 
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  def details(name_file , display):
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+ file = open(path + "iea.txt", "r")
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  lines = file.readlines()
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  mark = 0
 
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  def key_initiatives(name_file , display ):
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+ file = open(path + 'iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  def deployment_target(name_file , display):
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+ file = open(path + 'iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  def cost_reduction_target(name_file , display):
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+ file = open(path + 'iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  mark = 0
 
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  def key_words(name_file, display ):
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+ file = open(path + 'iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  def technology(name_file, display ):
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  # Filepath too specific, need to change to relative path
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+ file = open(path + 'iea.txt', "r", encoding='utf8')
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  lines = file.readlines()
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  list_categories = []