test app.py

app.py

@@ -0,0 +1,18 @@
+import streamlit as st
+import transformers
+
+
+model = transformers.AutoModelForCausalLM.from_pretrained("distilgpt2")
+tokenizer = transformers.AutoTokenizer.from_pretrained("distilgpt2")
+
+user_inputed_text = st.text_input("Insert text")
+
+outputs = model.generate(
+    **tokenizer([user_inputed_text], return_tensors='pt'),
+    max_new_tokens=50, do_sample=True,
+)
+
+
+outputs_text = tokenizer.decode(outputs[0])
+
+st.text_area(label='output', value="your text is :" + user_inputed_text[::-1])

requirements.txt

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+torch
+transformers