added tensorflow

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import transformers as t
+import plotly.graph_objects as go
 
 st.title("Phrase Feeling Analysis")
 classifier = t.pipeline("zero-shot-classification",
@@ -10,4 +11,22 @@ x = st.text_input("Enter your title here:")
 candidate_labels = ['anger', 'sadness', 'fear', 'joy', 'interest',
                     'surprise', 'disgust', 'shame', 'guilt', 'compassion', 'other']
 output = classifier(x, candidate_labels)
-st.write(output)
+# st.write(output)
+
+for i in range(len(candidate_labels)):
+    st.write(candidate_labels[i] + ": " + str(output[i]))
+
+# fig = go.Figure(data=go.Scatterpolar(
+#     r=[1, 5, 2, 2, 3],
+#     theta=candidate_labels,
+#     fill='toself'
+# ))
+
+# fig.update_layout(
+#     polar=dict(
+#         radialaxis=dict(
+#             visible=True
+#         ),
+#     ),
+#     showlegend=False
+# )

requirements.txt

@@ -2,3 +2,5 @@ streamlit
 transformers
 pandas
 plotly
+tensorflow
+pytorch