Update app.py

app.py

@@ -3,6 +3,64 @@ from aggregator import get_articles_sentiment
 
 st.title("Real time financial news fast sentiment")
 
-results = get_articles_sentiment("AAPL", "Andreagus/fin_miniLM_16")
+model_to_use = ""
 
-st.write(results)
+model_selected = st.radio("Choose your model", ["fin_distilBert", "fin_tinyBert", "fin_miniLM"])
+
+ticker = st.text_input("Insert the company ticker")
+
+col1, col2 = st.columns(2)
+if model_selected and ticker is not None:
+
+    if model_selected == "fin_distilBert":
+        model_to_use = "Andreagus/fin_distilbert_16"
+    if model_selected == "fin_tinyBert":
+        model_to_use = "Andreagus/fin_tinyBert_32"
+    if model_selected == "fin_miniLM12":
+        model_to_use = "Andreagus/fin_miniLM_16"
+
+    results = get_articles_sentiment(ticker, model_to_use)
+    
+    with col1:
+        st.text("Bezinga news provider")
+        if results['bezinga']['bezinga_articles'] == 0:
+            st.text('Bezinga returned 0 articles')
+        else:
+            st.json(results['bezinga'], expanded=False)
+
+        st.text("finhub news provider")
+        if results['finhub']['finhub_articles'] == 0:
+            st.text('finhub returned 0 articles')
+        else:
+            st.json(results['finhub'], expanded=False)
+
+        st.text("marketaux news provider")
+        if results['marketaux']['marketaux_articles'] == 0:
+            st.text('marketaux returned 0 articles')
+        else:
+            st.json(results['marketaux'], expanded=False)
+
+        st.text("Newsapi news provider")
+        if results['newsapi']['newsapi_articles'] == 0:
+            st.text('newsapi returned 0 articles')
+        else:
+            st.json(results['newsapi'], expanded=False)
+
+        st.text('Newsdata news provider')
+        if results['newsdata']['newsdata_articles'] == 0:
+            st.text('newsdata returned 0 articles')
+        else:
+            st.json(results['newsdata'], expanded=False)
+
+        st.text("Vantage news provider")
+        if results['vantage']['vantage_articles'] == 0:
+            st.text('vantage returned 0 articles')
+        else:
+            st.json(results['vantage'], expanded=False)
+    
+    with col2:
+        st.text("Summary results")
+        st.metric("Total articles", results['total_articles'])
+        st.metric("Total positive articles", results['total_positives'])
+        st.metric("Total negative articles", results['total_negatives'])
+