Create app.py

app.py

@@ -0,0 +1,17 @@
+import streamlit as st
+import textgrad as tg
+
+tg.set_backward_engine("gpt-4o", override=True)
+
+# Step 1: Get an initial response from an LLM.
+model = tg.BlackboxLLM("gpt-4o")
+question_string = ("If it takes 1 hour to dry 25 shirts under the sun, "
+                   "how long will it take to dry 30 shirts under the sun? "
+                   "Reason step by step")
+
+question = tg.Variable(question_string, 
+                       role_description="question to the LLM", 
+                       requires_grad=False)
+
+answer = model(question)
+print(answer)