Create app.py

app.py

@@ -0,0 +1,23 @@
+from langchain_openai import ChatOpenAI
+from langchain.schema import AIMessage, HumanMessage
+import gradio as gr
+
+model = ChatOpenAI(model="gpt-4o-mini", api_key=key)
+
+def predict(message, history):
+    history_langchain_format = []
+    for msg in history:
+        if msg['role'] == "user":
+            history_langchain_format.append(HumanMessage(content=msg['content']))
+        elif msg['role'] == "assistant":
+            history_langchain_format.append(AIMessage(content=msg['content']))
+    history_langchain_format.append(HumanMessage(content=message))
+    gpt_response = model.invoke(history_langchain_format)
+    return gpt_response.content
+
+demo = gr.ChatInterface(
+    predict,
+    type="messages"
+)
+
+demo.launch()