Create app.py

app.py

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+import gradio as gr
+from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
+import openai
+import json
+from dotenv import load_dotenv
+import os
+
+
+openai.api_key = os.getenv("OPENAI_API_KEY")
+documents = SimpleDirectoryReader("data").load_data()
+index = VectorStoreIndex.from_documents(documents=documents)
+query_engine = index.as_query_engine()
+
+# Function to handle queries
+def query_document(message,history):
+    response = query_engine.query(message)
+    return str(response)
+
+
+interface = gr.ChatInterface(fn=query_document
+                 ,textbox=gr.Textbox(placeholder="Ask any information from DDS HR documents!")
+                 ,title="DDS Document Bot", description="Ask about the DDS HR Policy!")
+
+interface.launch(debug=True)
+
+