import gradio as gr import openai import requests import csv import uuid 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_type_change(type): print(type) def on_prompt_template_change(prompt_template): if not isinstance(prompt_template, str): return return prompt_templates[prompt_template] def submit_message(type_select,user_token, prompt, prompt_template, temperature, max_tokens, context_length, state): print(type_select) 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 type_select: history.append(prompt_msg) history.append({ "role": "system", "content": "Error: Type 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 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: if type_select=='TEXT': text_history = [x for x in history if x['role'] != 'image' ] print(text_history) completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + text_history[-context_length*2:] + [prompt_msg], temperature=temperature, max_tokens=max_tokens) history.append(prompt_msg) history.append(completion.choices[0].message.to_dict()) print(completion.choices[0].message.to_dict()) state['total_tokens'] += completion['usage']['total_tokens'] elif type_select=='IMAGE': response = openai.Image.create( prompt=prompt, n=1, size="512x512" ) print("image result ",response) image_url = response['data'][0]['url'] history.append({ "role": "image", "content": prompt }) history.append({ "role": "image", "content": image_url }) state['total_tokens'] += 0 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)] print(1,chat_messages) chat_messages=[] for i in range(0, len(history)-1, 2): print(history[i]) if(history[i]['role'] == 'image'): picture_name = str(uuid.uuid1())+'.png' reponse = requests.get(history[i+1]['content']) with open('/home/user/app/'+picture_name,'wb') as f: f.write(reponse.content) image_his = {'name': '/home/user/app/'+picture_name, 'mime_type': 'image/png', 'alt_text': None, 'data': None, 'is_file': True} chat_messages.append((history[i]['content'],image_his)) else: chat_messages.append((history[i]['content'], history[i+1]['content'])) print(2,chat_messages) 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 chat Using the ofiicial API (gpt-3.5-turbo and DELL-E2 model) """, elem_id="header") with gr.Row(): with gr.Column(scale=0.7): chatbot = gr.Chatbot(elem_id="chatbox") with gr.Row(): with gr.Column(scale=0.2, min_width=0): type_select = gr.Dropdown(show_label=False, choices= ["TEXT", "IMAGE"],value="TEXT",interactive=True) with gr.Column(scale=0.8): 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(scale=0.3): 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('''


You can duplicate this Space to skip the queue:Duplicate Space
#

visitors

''') type_select.change(on_type_change,inputs=[type_select], outputs=[]) btn_submit.click(submit_message, [type_select,user_token, input_message, prompt_template, temperature, max_tokens, context_length, state], [input_message, chatbot, total_tokens_str, state]) input_message.submit(submit_message, [type_select,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( auth=("admin", "IBTGeE3NrPsrViDI"), height='800px')