Create app.py

app.py

@@ -0,0 +1,40 @@
+import gradio as gr
+import os
+import openai
+
+load_dotenv()
+os.environ["OPENAI_API_KEY"] = os.environ['my_secret']
+
+
+
+def predict(input, history):
+    history.append({"role": "user", "content": input})
+
+    gpt_response = openai.ChatCompletion.create(
+        model=model_id,
+        messages=history
+    )
+
+    response = gpt_response["choices"][0]["message"]["content"]
+
+    history.append({"role": "assistant", "content": response})
+
+    messages = [(history[i]["content"], history[i+1]["content"]) for i in range(1, len(history), 2)]
+
+    return messages, history
+
+
+with gr.Blocks() as demo:
+    chatbot = gr.Chatbot(label="ChatBot")
+
+    state = gr.State([{
+        "role": "system",
+        "content": "You are a chatbot for psychological counseling."
+    }])
+
+    with gr.Row():
+        txt = gr.Textbox(show_label=False, placeholder="상담을 요청해보세요").style(container=False)
+
+    txt.submit(predict, [txt, state], [chatbot, state])
+
+demo.launch(debug=True, share=True)