Update app.py

app.py

@@ -1,27 +1,12 @@
-# This is a simple general-purpose chatbot built on top of LangChain and Gradio.
-# Before running this, make sure you have exported your OpenAI API key as an environment variable:
-# export OPENAI_API_KEY="your-openai-api-key"
-
-from langchain_openai import ChatOpenAI
-from langchain.schema import AIMessage, HumanMessage
 import gradio as gr
 
-model = ChatOpenAI(model="gpt-4o-mini")
-
-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
+def greet(name, intensity):
+    return "Hello, " + name + "!" * int(intensity)
 
-demo = gr.ChatInterface(
-    predict,
-    type="messages"
+demo = gr.Interface(
+    fn=greet,
+    inputs=["text", "slider"],
+    outputs=["text"],
 )
 
 demo.launch()