ZephyruSalsify commited on
Commit
14a5752
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1 Parent(s): 8bb41bb

Update app.py

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Files changed (1) hide show
  1. app.py +9 -10
app.py CHANGED
@@ -9,11 +9,10 @@ analysis = pipeline("text-classification", model='ZephyruSalsify/FinNews_Sentime
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  classification = pipeline("text-classification", model="nickmuchi/finbert-tone-finetuned-finance-topic-classification", token=access+token)
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  st.set_page_config(page_title="Financial News Analysis", page_icon="♕")
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- st.header("Make Analysis for Financial News")
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  # Streamlit application layout
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  st.title("Financial News Analysis")
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- st.write("Classify corresponding Topic and Trend for Financial News")
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  st.image("./Fin.jpg", use_column_width = True)
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  # Text input for user to enter the text
@@ -30,19 +29,19 @@ if st.button("Analyze"):
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  max_score_1 = float('-inf')
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  max_label_1 = ''
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- for result in results_1:
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- if result['score'] > max_score_1:
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- max_score_1 = result['score']
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- max_label_1 = result['label']
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  # Display the classification result
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  max_score_2 = float('-inf')
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  max_label_2 = ''
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- for result in results_2:
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- if result['score'] > max_score_2:
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- max_score_2 = result['score']
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- max_label_2 = result['label']
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  st.write("Financial Text:", text)
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  st.write("Trend:", max_label_1)
 
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  classification = pipeline("text-classification", model="nickmuchi/finbert-tone-finetuned-finance-topic-classification", token=access+token)
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  st.set_page_config(page_title="Financial News Analysis", page_icon="♕")
 
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  # Streamlit application layout
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  st.title("Financial News Analysis")
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+ st.write("Analyze corresponding Topic and Trend for Financial News!")
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  st.image("./Fin.jpg", use_column_width = True)
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  # Text input for user to enter the text
 
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  max_score_1 = float('-inf')
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  max_label_1 = ''
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+ for result_1 in results_1:
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+ if result_1['score'] > max_score_1:
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+ max_score_1 = result_1['score']
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+ max_label_1 = result_1['label']
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  # Display the classification result
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  max_score_2 = float('-inf')
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  max_label_2 = ''
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+ for result_2 in results_2:
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+ if result_2['score'] > max_score_2:
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+ max_score_2 = result_2['score']
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+ max_label_2 = result_2['label']
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  st.write("Financial Text:", text)
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  st.write("Trend:", max_label_1)