Create app.py

app.py

@@ -0,0 +1,31 @@
+import streamlit as st
+
+from transformers import GPT2Tokenizer, GPT2LMHeadModel
+
+model_path='KhantKyaw/GPT2_chatbot2'
+  
+tokenizer = GPT2Tokenizer.from_pretrained(model_path)
+tokenizer.pad_token = tokenizer.eos_token  
+model = GPT2LMHeadModel.from_pretrained(model_path)
+prompt = st.chat_input(placeholder="Say Something!",key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)
+
+input_ids = tokenizer.encode(prompt, return_tensors='pt')
+print(input_ids)
+   
+output_sequences = model.generate(
+    input_ids=input_ids,
+    max_length=100,
+    temperature=1.0,
+    top_k=50,
+    top_p=0.95,
+    repetition_penalty=1.2,
+    do_sample=True,
+    pad_token_id=tokenizer.eos_token_id,
+    )
+
+print(output_sequences)   
+generated_text = tokenizer.decode(output_sequences[0], skip_special_tokens=True)
+
+if prompt:
+   with st.chat_message(name="AI",avatar=None):
+    st.write(generated_text)