Create app.py

app.py

@@ -0,0 +1,20 @@
+
+import streamlit as st
+from transformers import T5Tokenizer, T5ForConditionalGeneration
+
+st.title("Text-to-Text AI Model")
+
+st.write("Enter your prompt below:")
+
+prompt = st.text_input("Prompt")
+
+if prompt:
+    tokenizer = T5Tokenizer.from_pretrained('t5-small')
+    model = T5ForConditionalGeneration.from_pretrained('t5-small')
+
+    input_ids = tokenizer.encode(prompt, return_tensors='pt')
+    output = model.generate(input_ids)
+    output_text = tokenizer.decode(output[0], skip_special_tokens=True)
+
+    st.write("Output:")
+    st.write(output_text)