Create app.py

app.py

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+# Goal: Build an AI powered chat bot
+
+import gradio as gr
+from dotenv import load_dotenv
+from openai import OpenAI
+import json
+
+load_dotenv()
+
+client = OpenAI()
+
+def save_history(history):
+    with open("data.json", "w") as data:
+        json.dump(history, data)
+
+def load_history():
+    with open("data.json", "r") as data:
+        return json.load(data)
+
+# Backend: Python
+def echo(message, history):
+    # LLM: OpenAI
+    converstation_history = load_history()
+
+    converstation_history.append({"role": "user", "content": message})
+
+    completion = client.chat.completions.create(
+        model="gpt-4o-mini",
+        messages=converstation_history
+    )
+
+    converstation_history.append({"role": "assistant", "content": completion.choices[0].message.content})
+
+    save_history(converstation_history)
+
+    return completion.choices[0].message.content
+
+# Frontend: Gradio
+demo = gr.ChatInterface(fn=echo, type="messages", examples=["I want to lear about LLMs", "What is NLP", "what is RAG"], title="LLM Mentor")
+demo.launch()