Create app.py

app.py

@@ -0,0 +1,22 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load the QA pipeline with the specified model
+qa_pipeline = pipeline("question-answering", model="Suhaib-27/my_awesome_qa_model")
+
+# Streamlit app
+st.title("Question Answering with Transformers")
+st.write("Enter the context and the question, and the model will provide the answer.")
+
+# Input fields for context and question
+context = st.text_area("Context", height=200)
+question = st.text_input("Question")
+
+# If context and question are provided, perform the inference
+if context and question:
+    # Get the answer from the pipeline
+    result = qa_pipeline(question=question, context=context)
+    answer = result['answer']
+    
+    st.write("### Answer")
+    st.write(answer)