Create app.py

app.py

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+import torch
+import streamlit as st
+import transformers
+
+
+st.markdown("Hello!")
+
+# model, tokenizer = torch.load("/home/jheuristic/data/model.pth", map_location='cpu')
+model = transformers.AutoModel.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english")
+tokenizer = transformers.AutoTokenizer.from_pretrained("distilbert-base-uncased-finetuned-sst-2-english")
+
+
+user_input = st.text_input("Please enter your thoghts:")
+
+
+if len(user_input.split()) > 0:
+
+    input_kwargs = tokenizer(user_input, return_tensors="pt")
+
+    st.markdown(f"{model(**input_kwargs)}")