Update app.py

app.py

@@ -0,0 +1,22 @@
+import streamlit as st
+import transformers
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+model_name = "KhantKyaw/T5-small_new_chatbot"
+tokenizer = T5Tokenizer.from_pretrained(model_name)
+model = T5ForConditionalGeneration.from_pretrained(model_name)
+def generate_response(input_text):
+    input_ids = tokenizer.encode(input_text, return_tensors='pt')
+    outputs = model.generate(input_ids,
+                             min_length=5,
+                             max_length=300,
+                             do_sample=True, num_beams=5, no_repeat_ngram_size=2)
+    generated_text = tokenizer.decode(
+        outputs[0], skip_special_tokens=True)
+    return generated_text
+
+
+prompt = st.chat_input(placeholder="Say Something!",key=None, max_chars=None, disabled=False, on_submit=None, args=None, kwargs=None)
+if prompt:
+   with st.chat_message(name="AI",avatar=None):
+    st.write(generate_response(prompt))
+