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app.py

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+import gradio as gr
+import openai
+import random
+import time
+
+
+if __name__ == '__main__':
+    # Set up OpenAI API key
+    openai.api_key = "API"
+
+    system_message = {"role": "system", "content": "You are ChatGPT, a large language model trained by OpenAI, based on the GPT-3.5 architecture. Your answer should be as detailed as possible."}
+
+    with gr.Blocks(css="footer {visibility: hidden}", title = 'Hello, Yoda.') as demo:
+        gr.Markdown("""<h1><center>Hello, Yoda.</center></h1>""")
+        chatbot = gr.Chatbot()
+        msg = gr.Textbox(show_label=False, placeholder="Ask me a question and press enter.")
+        btn=gr.Button("submit")
+        clear = gr.Button("clear")
+       # messages_history = [system_message]
+
+        state = gr.State([])
+
+        def user(user_message, history):
+            return "", history + [[user_message, None]]
+
+        def bot(history, messages_history):
+            user_message = history[-1][0]
+            bot_message, messages_history = ask_gpt(user_message, messages_history)
+            messages_history += [{"role": "assistant", "content": bot_message}]
+            history[-1][1] = bot_message
+            time.sleep(1)
+            return history, messages_history
+
+        def ask_gpt(message, messages_history):
+            if len(messages_history) == 0:
+                messages_history =  [system_message]
+            messages_history += [{"role": "user", "content": message}]
+            response = openai.ChatCompletion.create(
+                model="gpt-3.5-turbo",
+                messages=messages_history
+            )
+            return response['choices'][0]['message']['content'], messages_history
+
+        def init_history(messages_history):
+            messages_history = []
+            messages_history += [system_message]
+            return messages_history
+
+        msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+            bot, [chatbot, state], [chatbot, state]
+        )
+
+        btn.click(user, [msg, chatbot], [msg, chatbot], queue=False).then(
+            bot, [chatbot, state], [chatbot, state]
+        )
+
+        clear.click(lambda: None, None, chatbot, queue=False).success(init_history, [state], [state])
+
+    demo.launch(show_api = False, auth = ('ID', 'PWD'))
+    #demo.launch()

requirements.txt

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+openai
+gradio