Update app.py

app.py

@@ -3,26 +3,23 @@ from transformers import pipeline
 sentiment_model = pipeline("text-classification", model="AhmedTaha012/managersFeedback-V1.0.7")
 increase_decrease_model = pipeline("text-classification", model="AhmedTaha012/nextQuarter-status-V1.1.9")
 ner_model = pipeline("token-classification", model="AhmedTaha012/finance-ner-v0.0.8-finetuned-ner")
-def main():
-    st.title("Transcript Analysis")
-    transcript = st.text_area("Enter the transcript:", height=200)
 
-    if st.button("Analyze"):
-        st.subheader("Sentiment Analysis")
-        sentiment = sentiment_model(transcript)[0]['label']
-        st.write(sentiment)
+st.title("Transcript Analysis")
+transcript = st.text_area("Enter the transcript:", height=200)
 
-        st.subheader("Increase/Decrease Prediction")
-        increase_decrease = increase_decrease_model(transcript)[0]['label']
-        st.write(increase_decrease)
+if st.button("Analyze"):
+    st.subheader("Sentiment Analysis")
+    sentiment = sentiment_model(transcript)[0]['label']
+    st.write(sentiment)
 
-        st.subheader("NER Metrics")
-        ner_result = ner_model(transcript)
-        revenue = next((entity['entity'] for entity in ner_result if entity['entity'] == 'revenue'), None)
-        if revenue:
-            st.write(f"Revenue: {revenue}")
-        else:
-            st.write("Revenue not found.")
+    st.subheader("Increase/Decrease Prediction")
+    increase_decrease = increase_decrease_model(transcript)[0]['label']
+    st.write(increase_decrease)
 
-if __name__ == "__main__":
-    main()
+    st.subheader("NER Metrics")
+    ner_result = ner_model(transcript)
+    revenue = next((entity['entity'] for entity in ner_result if entity['entity'] == 'revenue'), None)
+    if revenue:
+        st.write(f"Revenue: {revenue}")
+    else:
+        st.write("Revenue not found.")