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app.py

@@ -1,6 +1,20 @@
+from langchain.chat_models import ChatOpenAI
+from langchain.schema import AIMessage, HumanMessage
+import openai
 import gradio as gr
+import os
 
-def slow_echo(message, history):
-    return message
+os.environ["OPENAI_API_KEY"] = "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"  # Replace with your key
 
-demo = gr.ChatInterface(slow_echo).queue().launch()
+llm = ChatOpenAI(temperature=1.0, model='gpt-3.5-turbo-0613')
+
+def predict(message, history):
+    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(predict).launch()