Update app.py

app.py

@@ -33,7 +33,7 @@ def sentiment_vader(text):
     return overall_sentiment.upper()
 
 def classify_by_company(text):
-    path = r"Companies"
+    path = os.path.dirname(os.path.realpath(__file__)) + "\\Companies"
 
     for filename in os.listdir(path):
         with open(path + '\\' + filename, 'r') as f:
@@ -111,7 +111,14 @@ def load_models(parameters_list):
 
     return out_translation, out_sentiment, out_classification
 
-df = pd.read_csv(f"Data\Hugging Face_DF.csv")
+datapath = os.path.dirname(os.path.realpath(__file__)) + "\\Data\\Hugging Face_DF.csv"
+
+meh = '''
+sheet_id = "1pg13sroB-pIEXtIL5UrRowKdXWRPWnH7"
+sheet_name = "Sheet1"
+url = f"https://docs.google.com/spreadsheets/d/{sheet_id}/gviz/tq?tqx=out:csv&sheet={sheet_name}"
+'''
+df = pd.read_csv(datapath)
 
 header = st.container()
 model = st.container()
@@ -162,4 +169,4 @@ with analysis:
     st.header("Visualização dos dados utilizados através de WordClouds")
 
     with analysis_1:
-        pass
+        pass