Create app.py

app.py

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+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+from scipy.special import expit
+import numpy as np
+import pickle
+import os
+import pandas as pd
+
+# 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 )
+all_label_names = list(model.config.id2label.values())
+
+
+def probs(texts):
+    probs = expit(model(**tokenizer(texts, return_tensors="pt", padding=True)).logits.detach().numpy())
+    return list(zip(all_label_names, probs))
+
+iface = gr.Interface(
+  fn=predict, 
+  inputs='What is going on with you',
+  outputs='Our predictions',
+  examples=[["This test tomorrow is really freaking me out."]]
+)
+
+iface.launch()