Create app.py

app.py

@@ -0,0 +1,14 @@
+import streamlit as st
+
+from gradio_client import Client
+
+client = Client("awacke1/Arxiv-Paper-Search-And-QA-RAG-Pattern")
+result = client.predict(
+		"Hello!!",	# str  in 'Search' Textbox component
+		4,	# float (numeric value between 4 and 10) in 'Top n results as context' Slider component
+		"Semantic Search - up to 10 Mar 2024",	# Literal['Semantic Search - up to 10 Mar 2024', 'Arxiv Search - Latest - (EXPERIMENTAL)']  in 'Search Source' Dropdown component
+		"mistralai/Mixtral-8x7B-Instruct-v0.1",	# Literal['mistralai/Mixtral-8x7B-Instruct-v0.1', 'mistralai/Mistral-7B-Instruct-v0.2', 'google/gemma-7b-it', 'None']  in 'LLM Model' Dropdown component
+		api_name="/update_with_rag_md"
+)
+print(result)
+