upload app.py

app.py

@@ -0,0 +1,4 @@
+import streamlit as st
+
+x = st.slider('Select a value')
+st.write(x, 'squared is', x * x)

fin_data_api.py

@@ -13,7 +13,7 @@ def get_finnhub_data(example: str) -> json:
     """
     Pass in the "example" string from the API documentation. It changes for every endpoint.
 
-    example: '/company-news?symbol=AAPL&from=2023-08-15&to=2023-08-20'
+    :param1 example: '/company-news?symbol=AAPL&from=2023-08-15&to=2023-08-20'
     """
     base_url = 'https://finnhub.io/api/v1//'
     token = f"&token={content['finhubapi_key']}"
@@ -25,10 +25,13 @@ def sentiment_analysis(headline:str) -> str:
     """
     Pass in a headline and get back a sentiment analysis of the text.
     This only works for one headline at a time; Should be expanded to work for a list of headlines.
+    
+    :param1 headline: Text string: 'Apple is the best company in the world'
     """
     nlp = pipeline("sentiment-analysis")
     return nlp(headline)
 
+
 # get news articles for a company 
 res_news = get_finnhub_data('/company-news?symbol=AAPL&from=2023-08-15&to=2023-08-20')
 #print(res_news[0].keys())