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| import gradio as gr | |
| import openai | |
| import requests | |
| import csv | |
| 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" | |
| try: | |
| response = requests.get(url) | |
| reader = csv.reader(response.text.splitlines()) | |
| next(reader) # skip the header row | |
| for row in reader: | |
| if len(row) >= 2: | |
| act = row[0].strip('"') | |
| prompt = row[1].strip('"') | |
| prompt_templates[act] = prompt | |
| except requests.exceptions.RequestException as e: | |
| print(f"An error occurred while downloading prompt templates: {e}") | |
| return | |
| choices = list(prompt_templates.keys()) | |
| choices = choices[:1] + sorted(choices[1:]) | |
| return gr.update(value=choices[0], choices=choices) | |
| def on_token_change(user_token): | |
| openai.api_key = user_token | |
| 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, context_length, state): | |
| history = state['messages'] | |
| if not prompt: | |
| return gr.update(value=''), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: {state['total_tokens']}", 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 } | |
| if not user_token: | |
| history.append(prompt_msg) | |
| history.append({ | |
| "role": "system", | |
| "content": "Error: OpenAI API Key is not set." | |
| }) | |
| return '', [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: 0", state | |
| try: | |
| completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history[-context_length*2:] + [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']}" | |
| chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)] | |
| return '', 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;} | |
| #label {font-size: 0.8em; padding: 0.5em; margin: 0;} | |
| .message { font-size: 1.2em; } | |
| """ | |
| 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) | |
| Prompt templates from [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts).""", | |
| 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) | |
| btn_submit = gr.Button("Submit") | |
| total_tokens_str = gr.Markdown(elem_id="total_tokens_str") | |
| btn_clear_conversation = gr.Button("🔃 Start New Conversation") | |
| with gr.Column(): | |
| gr.Markdown("Enter your OpenAI API Key. You can get one [here](https://platform.openai.com/account/api-keys).", elem_id="label") | |
| user_token = gr.Textbox(value='', placeholder="OpenAI API Key", type="password", show_label=False) | |
| 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") | |
| with gr.Accordion("Advanced parameters", open=False): | |
| temperature = gr.Slider(minimum=0, maximum=2.0, value=0.7, step=0.1, label="Temperature", info="Higher = more creative/chaotic") | |
| max_tokens = gr.Slider(minimum=100, maximum=4096, value=1000, step=1, label="Max tokens per response") | |
| context_length = gr.Slider(minimum=1, maximum=10, value=2, step=1, label="Context length", info="Number of previous messages to send to the chatbot. Be careful with high values, it can blow up the token budget quickly.") | |
| gr.HTML('''<br><br><br><center>You can duplicate this Space to skip the queue:<a href="https://huggingface.co/spaces/anzorq/chatgpt-demo?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a><br> | |
| <p><img src="https://visitor-badge.glitch.me/badge?page_id=anzorq.chatgpt_api_demo_hf" alt="visitors"></p></center>''') | |
| btn_submit.click(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, total_tokens_str, state]) | |
| input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, context_length, 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], queur=False) | |
| demo.queue(concurrency_count=10) | |
| demo.launch(height='800px') | |