Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Initialize the pipeline
+pipe = pipeline("text2text-generation", model="google/flan-t5-base")
+
+# Title of the app
+st.title("Text-to-Text Generation with Google FLAN-T5")
+
+# Text input for the user
+input_text = st.text_area("Enter your text here:")
+
+# Button to generate text
+if st.button("Generate"):
+    if input_text:
+        # Generate text using the pipeline
+        output = pipe(input_text)
+        # Display the generated text
+        st.write("Generated Text:")
+        st.write(output[0]['generated_text'])
+    else:
+        st.write("Please enter some text to generate.")
+
+# Additional information
+st.markdown("""
+    This app uses the Google FLAN-T5 model to generate text based on the input provided.
+    Simply enter your text in the input box above and click on 'Generate' to see the output.
+""")