Create app.py

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+import transformers
+
+
+from transformers import pipeline
+
+# Replace this with your own checkpoint
+model_checkpoint = "huggingface/models/t5-base-fine-tuned-on-jfleg"
+
+
+@st.cache
+def load_model(model_name):
+    translator= pipeline("text2text: generation", model=model_checkpoint)
+    return translator
+    
+translator= load_model(model_checkpoint)
+
+default_value = "Write your text here!"
+#prompts
+st.title("Writing Assistant for you 🦄")
+
+sent = st.text_area("Text", default_value, height = 275)
+generated_sequences = translator(sent)
+
+st.write(generated_sequences[-1])