Create app.py

app.py

@@ -0,0 +1,21 @@
+from langchain.chat_models import ChatOpenAI
+from langchain.schema import AIMessage, HumanMessage
+import openai
+import gradio as gr
+import os
+
+os.environ["OPENAI_API_KEY"] = os.getenv(MY_OPENAI_KEY)  # Replace with your key
+
+llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-1106')
+
+def predict(message, history):
+    global history_langchain_format # Create global history list for the chat
+    history_langchain_format = []
+    for human, ai in history:
+        history_langchain_format.append(HumanMessage(content=human))
+        history_langchain_format.append(AIMessage(content=ai))
+    history_langchain_format.append(HumanMessage(content=message))
+    gpt_response = llm(history_langchain_format)
+    return gpt_response.content
+
+gr.ChatInterface(fn=predict, title= 'Simple Chat Box', description= 'A simple chatbox hosted in HF by Adhya').launch()