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