Update app.py

app.py

@@ -42,3 +42,17 @@ doc_retriever = vectordb.as_retriever()
 from langchain.chains import RetrievalQA
 EN_17272_qa = RetrievalQA.from_chain_type(llm, chain_type="stuff", retriever=doc_retriever)
 
+def make_answer(query):
+    return EN_17272_qa.run(query)
+
+if __name__ == "__main__":
+    # make a gradio intgerface
+    import gradio as gr
+
+    gr.Interface(
+        make_answer,
+        [gr.inputs.Textbox(lines=2, label="Input a question")],
+        gr.outputs.Textbox(labels="Answer"),
+        title="EN-17272 & Efficacy Reports",
+        descriptions: "EN-17272 & Efficacy reports is a generative model that gives answers based on the documents",
+    ).launch()