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/EsoCoding/AiAstroPrompts/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 AstroBot
Using the ofiicial API (gpt-3.5-turbo model)""",
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():
user_token = gr.Textbox(value='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', placeholder="OpenAI API Key", type="text", 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('''
You can duplicate this Space to skip the queue:
''')
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')