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import gradio as gr | |
import os | |
import openai | |
import requests | |
import json | |
openai.api_key = os.environ.get("OPENAI_API_KEY") | |
prompt_templates = {"Default ChatGPT": ""} | |
def get_empty_state(): | |
return {"total_tokens": 0, "messages": []} | |
def download_prompt_templates(): | |
url = "https://raw.githubusercontent.com/f/awesome-chatgpt-prompts/main/prompts.csv" | |
response = requests.get(url) | |
for line in response.text.splitlines()[1:]: | |
act, prompt = line.split('","') | |
prompt_templates[act.replace('"', '')] = prompt.replace('"', '') | |
choices = list(prompt_templates.keys()) | |
return gr.update(value=choices[0], choices=choices) | |
def on_token_change(user_token): | |
openai.api_key = user_token or os.environ.get("OPENAI_API_KEY") | |
def on_prompt_template_change(prompt_template): | |
if not isinstance(prompt_template, str): return | |
return prompt_templates[prompt_template] | |
def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state): | |
history = state['messages'] | |
if not prompt: | |
return gr.update(value='', visible=state['total_tokens'] < 1_000), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: {state['total_tokens']} / 3000", state | |
prompt_template = prompt_templates[prompt_template] | |
system_prompt = [] | |
if prompt_template: | |
system_prompt = [{ "role": "system", "content": prompt_template }] | |
prompt_msg = { "role": "user", "content": prompt } | |
try: | |
completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history + [prompt_msg], temperature=temperature, max_tokens=max_tokens) | |
history.append(prompt_msg) | |
history.append(completion.choices[0].message.to_dict()) | |
state['total_tokens'] += completion['usage']['total_tokens'] | |
except Exception as e: | |
history.append(prompt_msg) | |
history.append({ | |
"role": "system", | |
"content": f"Error: {e}" | |
}) | |
total_tokens_used_msg = f"Total tokens used: {state['total_tokens']} / 3000" if not user_token else "" | |
chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)] | |
input_visibility = user_token or state['total_tokens'] < 3000 | |
return gr.update(value='', visible=input_visibility), chat_messages, total_tokens_used_msg, state | |
def clear_conversation(): | |
return gr.update(value=None, visible=True), None, "", get_empty_state() | |
css = """ | |
#col-container {max-width: 80%; margin-left: auto; margin-right: auto;} | |
#chatbox {min-height: 400px;} | |
#header {text-align: center;} | |
#prompt_template_preview {padding: 1em; border-width: 1px; border-style: solid; border-color: #e0e0e0; border-radius: 4px;} | |
#total_tokens_str {text-align: right; font-size: 0.8em; color: #666; height: 1em;} | |
#label {font-size: 0.8em; padding: 0.5em; margin: 0;} | |
""" | |
with gr.Blocks(css=css) as demo: | |
state = gr.State(get_empty_state()) | |
with gr.Column(elem_id="col-container"): | |
gr.Markdown("""## OpenAI ChatGPT Demo | |
Using the ofiicial API (gpt-3.5-turbo model)<br> | |
Prompt templates from [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts).<br> | |
Current limit is 3000 tokens per conversation.""", | |
elem_id="header") | |
with gr.Row(): | |
with gr.Column(): | |
chatbot = gr.Chatbot(elem_id="chatbox") | |
input_message = gr.Textbox(show_label=False, placeholder="Enter text and press enter", visible=True).style(container=False) | |
total_tokens_str = gr.Markdown(elem_id="total_tokens_str") | |
btn_clear_conversation = gr.Button("π Start New Conversation") | |
with gr.Column(): | |
prompt_template = gr.Dropdown(label="Set a custom insruction for the chatbot:", choices=list(prompt_templates.keys())) | |
prompt_template_preview = gr.Markdown(elem_id="prompt_template_preview") | |
gr.Markdown("Enter your own OpenAI API Key to remove the 3000 token limit. You can get it [here](https://platform.openai.com/account/api-keys).", elem_id="label") | |
user_token = gr.Textbox(placeholder="OpenAI API Key", type="password", show_label=False) | |
with gr.Accordion("Advanced parameters", open=False): | |
temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, interactive=True, label="Temperature (higher = more creative/chaotic)") | |
max_tokens = gr.Slider(minimum=100, maximum=4096, value=1000, step=1, interactive=True, label="Max tokens per response") | |
gr.HTML('''<br><br><br><center><a href="https://huggingface.co/spaces/anzorq/chatgpt-demo?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a>You can duplicate this Space.<br> | |
Don't forget to set your own <a href="https://platform.openai.com/account/api-keys">OpenAI API Key</a> environment variable in Settings.</center>''') | |
input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state]) | |
btn_clear_conversation.click(clear_conversation, [], [input_message, chatbot, total_tokens_str, state]) | |
prompt_template.change(on_prompt_template_change, inputs=[prompt_template], outputs=[prompt_template_preview]) | |
user_token.change(on_token_change, inputs=[user_token], outputs=[]) | |
demo.load(download_prompt_templates, inputs=None, outputs=[prompt_template]) | |
demo.launch(debug=True, height='800px') | |