create app.py

app.py

@@ -0,0 +1,38 @@
+import gradio as gr
+from dotenv import load_dotenv
+from openai import OpenAI
+
+load_dotenv()
+
+client = OpenAI()
+
+# Backend: Python
+def echo(message, history):
+    # Convert Gradio history format to OpenAI messages format
+    messages = [
+        {"role": "system", "content": "You are a helpful LLM teacher."}
+    ]
+    
+    # Add chat history
+    for user_msg, bot_msg in history:
+        messages.append({"role": "user", "content": user_msg})
+        messages.append({"role": "assistant", "content": bot_msg})
+    
+    # Add current message
+    messages.append({"role": "user", "content": message})
+    
+    # Get response from OpenAI
+    completion = client.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=messages
+    )
+    
+    return completion.choices[0].message.content
+
+# Frontend: Gradio
+demo = gr.ChatInterface(
+    fn=echo,
+    examples=["I want to learn about LLMs", "What is NLP", "What is RAG"],
+    title="LLM Mentor"
+)
+demo.launch()