Create app.py

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+from transformers import pipeline, AutoTokenizer, AutoModelForQuestionAnswering
+
+# Load Flan Alpaca Large model
+model_name = "declare-lab/flan-alpaca-base"
+model = AutoModelForQuestionAnswering.from_pretrained(model_name)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+qa_pipeline = pipeline("question-answering", model=model, tokenizer=tokenizer)
+
+def main():
+    # Set app title
+    st.title("Flan Alpaca Large Model")
+
+    # Create input for user's question
+    question = st.text_input("Enter your question here:")
+
+    # Create button to submit question
+    if st.button("Submit"):
+        # Generate answer using Flan Alpaca Large model
+        answer = qa_pipeline(question=question, context="")["answer"]
+        # Display answer in output box
+        st.write("Answer: ", answer)
+
+if __name__ == "__main__":
+    main()