Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load the question-answering pipeline
+qa_pipeline = pipeline("question-answering", model="ilsp/Meltemi-7B-v1.5")
+
+# Title of the app
+st.title("Question Answering with Meltemi-7B")
+
+# Input fields for context and question
+context = st.text_area("Context", "Provide the context here...")
+question = st.text_input("Question", "Ask your question here...")
+
+# Generate answer when the user presses the button
+if st.button("Get Answer"):
+    if context and question:
+        result = qa_pipeline(question=question, context=context)
+        st.write(f"Answer: {result['answer']}")
+    else:
+        st.write("Please provide both context and a question.")