Add app.py and requirements

app.py

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+import gradio as gr
+import openai
+
+openai.api_key = "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"
+
+default_system_message = {"role": "system", "content": "You are a brilliant, helpful assistant, always providing answers to the best of your knowledge. If you are unsure of the answer, you indicate it to the user."}
+
+def get_completion(model, user_message, message_history, chatlog_history, temperature, maximum_length, top_p, frequency_penalty, presence_penalty):
+ new_history_row = {"role": "user", "content": user_message}
+ updated_message_history = message_history + [new_history_row]
+ completion = openai.ChatCompletion.create(
+ model=model,
+ messages=updated_message_history,
+ temperature=temperature,
+ max_tokens=maximum_length,
+ top_p=top_p,
+ frequency_penalty=frequency_penalty,
+ presence_penalty=presence_penalty,
+ )
+ assistant_message = completion["choices"][0]["message"]["content"]
+ new_history_row = {"role": "assistant", "content": assistant_message}
+ updated_message_history = updated_message_history + [new_history_row]
+ updated_chatlog_history = chatlog_history + [(user_message, assistant_message)]
+ token_count = completion["usage"]["total_tokens"]
+ return "", updated_message_history, updated_chatlog_history, updated_chatlog_history, token_count
+
+def retry_completion(model, message_history, chatlog_history, temperature, maximum_length, top_p, frequency_penalty, presence_penalty):
+ # get latest user message
+ user_message = chatlog_history[-1][0]
+ # delete latest entries from chatlog history
+ updated_chatlog_history = chatlog_history[:-1]
+ # delete latest assistant message from message_history
+ updated_message_history = message_history[:-1]
+ completion = openai.ChatCompletion.create(
+ model=model,
+ messages=updated_message_history,
+ temperature=temperature,
+ max_tokens=maximum_length,
+ top_p=top_p,
+ frequency_penalty=frequency_penalty,
+ presence_penalty=presence_penalty,
+ )
+ assistant_message = completion["choices"][0]["message"]["content"]
+ new_history_row = {"role": "assistant", "content": assistant_message}
+ updated_message_history = updated_message_history + [new_history_row]
+ updated_chatlog_history = updated_chatlog_history + [(user_message, assistant_message)]
+ token_count = completion["usage"]["total_tokens"]
+ return "", updated_message_history, updated_chatlog_history, updated_chatlog_history, token_count
+
+def reset_chat():
+ return "", [default_system_message], [], [], 0
+
+theme = gr.themes.Monochrome()
+with gr.Blocks(theme=theme) as app:
+ message_history = gr.State([default_system_message])
+ chatlog_history = gr.State([])
+ with gr.Row():
+ with gr.Column(scale=4):
+ chatbot = gr.Chatbot(label="Chat").style(height=600)
+ with gr.Column(scale=1):
+ # model = gr.Textbox(lines=3, value="You are a brilliant, helpful assistant, always providing answers to the best of your knowledge. If you are unsure of the answer, you indicate it to the user.", interactive=True, label="System")
+ model = gr.Dropdown(choices=["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"], value="gpt-3.5-turbo", interactive=True, label="Model")
+ temperature = gr.Slider(minimum=0, maximum=1, step=0.05, value=0.5, interactive=True, label="Temperature")
+ maximum_length = gr.Slider(minimum=0, maximum=2048, step=64, value=256, interactive=True, label="Maximum length")
+ top_p = gr.Slider(minimum=0, maximum=1, step=0.01, value=1, interactive=True, label="Top P")
+ frequency_penalty = gr.Slider(minimum=0, maximum=2, step=0.01, value=0, interactive=True, label="Frequency penalty")
+ presence_penalty = gr.Slider(minimum=0, maximum=2, step=0.01, value=0, interactive=True, label="Presence penalty")
+ token_count = gr.Number(interactive=False, label="Token Count")
+ with gr.Row():
+ user_message = gr.Textbox(label="Message")
+ with gr.Row():
+ reset_button = gr.Button("Reset Chat")
+ retry_button = gr.Button("Retry")
+
+ user_message.submit(get_completion, inputs=[model, user_message, message_history, chatlog_history, temperature, maximum_length, top_p, frequency_penalty, presence_penalty], outputs=[user_message, message_history, chatlog_history, chatbot, token_count])
+ retry_button.click(retry_completion, inputs=[model, message_history, chatlog_history, temperature, maximum_length, top_p, frequency_penalty, presence_penalty], outputs=[user_message, message_history, chatlog_history, chatbot, token_count])
+ reset_button.click(reset_chat, inputs=[], outputs=[user_message, message_history, chatlog_history, chatbot, token_count])
+
+app.launch()
+# app.launch(auth=("admin", "C%nc6mrn8*BCwQF9HhH4CX35d7Q**eQY"))

requirements.txt

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+gradio
+openai