Update app.py

app.py

@@ -7,7 +7,7 @@ import gradio as gr
 # set up model
 auth_token = os.environ.get("TOKEN") or True
 tokenizer = AutoTokenizer.from_pretrained("guidecare/feelings_and_issues", use_auth_token=auth_token )
-model = AutoModelForSequenceClassification.from_pretrained("guidecare/feelings_and_issues", use_auth_token=auth_token )
+model = AutoModelForSequenceClassification.from_pretrained("guidecare/feelings_and_issues", use_auth_token=auth_token)
 all_label_names = list(model.config.id2label.values())
 
 
@@ -17,6 +17,7 @@ def predict(text):
     probs = [float(np.round(i, 2)) for i in probs[0]]
     # break out issue, harm, sentiment, feeling
     zipped_list = list(zip(all_label_names, probs))
+    print(text, zipped_list)
     issues = [(i, j) for i, j in zipped_list if i.startswith('issue')]
     feelings = [(i, j) for i, j in zipped_list if i.startswith('feeling')]
     harm = [(i, j) for i, j in zipped_list if i.startswith('harm')]
@@ -27,7 +28,6 @@ def predict(text):
     # top is the combo of these
     top = issues + feelings + harm
     d = {i: j for i, j in top}
-    print(text, top)
     return d
 
 iface = gr.Interface(
@@ -37,4 +37,4 @@ iface = gr.Interface(
   #examples=["This test tomorrow is really freaking me out."]
 )
 
-iface.launch()
+iface.launch(share=True)