Update app.py

app.py

@@ -4,7 +4,6 @@ from transformers import pipeline
 access = "hf_"
 token = "hhbFNpjKohezoexWMlyPUpvJQLWlaFhJaa"
 
-
 # Load the text classification model pipeline
 analysis = pipeline("text-classification", model='ZephyruSalsify/FinNews_SentimentAnalysis')
 classification = pipeline("text-classification", model="nickmuchi/finbert-tone-finetuned-finance-topic-classification", token=access+token)
@@ -34,27 +33,10 @@ if st.button("Analyze"):
     label_2 = results_2["label"]
     score_2 = results_2["score"]
 
-
-# Perform text classification when the user clicks the "Classify" button
-if st.button("Analyze"):
-
-    label_1 = ""
-    score_1 = 0.0
-    label_2 = ""
-    score_2 = 0.0
-
-    # Perform text analysis on the input text
-    results_1 = analysis(text)[0]
-    results_2 = classification(text)[0]
-
-    label_1 = results_1["label"]
-    score_1 = results_1["score"]
-    label_2 = results_2["label"]
-    score_2 = results_2["score"]
-            
+# Display the results
 st.write("Financial Text:", text)
 st.write("Trend:", label_1)
 st.write("Trend_Score:", score_1)
 
 st.write("Finance Topic:", label_2)
-st.write("Topic_Score:", score_2)
+st.write("Topic_Score:", score_2)