Create app.py

app.py

@@ -0,0 +1,24 @@
+import streamlit as st
+from transformers import T5ForConditionalGeneration, T5Tokenizer
+
+
+model = T5ForConditionalGeneration.from_pretrained("t5-small")
+tokenizer = T5Tokenizer.from_pretrained("t5-small")
+
+
+def generate_response(input_text):
+    input_ids = tokenizer.encode("chatbot: " + input_text, return_tensors="pt", max_length=512)
+    output_ids = model.generate(input_ids, max_length=100, num_beams=1, early_stopping=True)
+    response = tokenizer.decode(output_ids[0], skip_special_tokens=True)
+    return response
+
+# Set up Streamlit app
+st.title("Simple Chatbot with T5")
+user_input = st.text_input("You:", "")
+
+if st.button("Send"):
+    if user_input.strip() != "":
+        response = generate_response(user_input)
+        st.text_area("Bot:", response)
+    else:
+        st.warning("Please enter a valid input.")