Create app.py

app.py

@@ -0,0 +1,13 @@
+import streamlit as st
+from transformers import pipeline
+
+pipe = pipeline(
+    "text-generation", model="RickMartel/GPT2_FineTuned_By_Doc_RAND_v3", device="cpu"
+)
+
+
+txt = st.text_area('enter text of a biblical nature')
+
+if txt:
+    out = pipe(txt, num_return_sequences=1)[0]["generated_text"]
+    st.json(out)