Create app.py

app.py

@@ -0,0 +1,38 @@
+from nltk.tokenize import sent_tokenize
+from setfit import SetFitModel
+import gradio as gr
+
+inf_model = SetFitModel.from_pretrained('multi-label_8_sent_v3_1')
+
+features = (['Teaching & learning', 'Support', 'Communication', 'Organisation & timetable', 
+    'Assessment & feedback', 'Career & placement', 'Health, well-being & social life', 'Facilities & technology'])
+
+def get_doc_topics_old(d):
+    t = inf_model(d)
+    return [f for i, f in enumerate(features) if t[0][i]]
+
+    
+def get_comment_topics_old(comment):
+    sent_topics = []
+    for s in sent_tokenize(comment):
+        sent_topics.append(get_doc_topics_old([s]))
+
+    output = []
+    for x in sent_topics:
+        for y in x:
+            if y not in output:
+                output.append(y)
+    return ', '.join(output) 
+
+app = gr.Interface(
+    fn = get_comment_topics_old,
+    inputs=gr.Textbox(lines=4, placeholder='Type comment here'),
+    outputs=gr.Textbox(lines=4),
+    allow_flagging='never',
+    examples = ([["Lots of support, especially when revising for exams. Lecturers always respond to emails very quickly!"], 
+        ["Loved everything. Met lots of new people and really enjoyed placements."],
+        ["I thoughts the lectures were sometimes boring but the library was great!"]
+        ])
+)
+app.queue()
+app.launch()