import openai import gradio as gr instructions = { "completion": "Please help me complete the text", "correction": "Please help me correct mistakes in the text", "polishing": "Please help me polish the language and improve my writing", "paraphrase": "Please help me paraphrase the text", "translation": "Please help me translate the text", "freestyle": "", } template = "{instruction}:\n\nText: {text}" def chat(task_type: str, text: str, api_key: str, tgt_lang: str = "") -> str: openai.api_key = api_key prompt = "" task_type = task_type[1:].strip().lower() if task_type == "freestyle": prompt = text else: instruction = instructions[task_type] if task_type == "translation": if tgt_lang: instruction += f" into {tgt_lang.strip()}" else: raise ValueError("Target language cannot be empty when translating") prompt = template.format(instruction=instruction, text=text) messages = [ { "role": "system", "content": f"You are a helpful writing assistant who can do {task_type}.", }, {"role": "user", "content": prompt}, ] finish_reason = None while finish_reason != "stop": if len(messages) > 2 and messages[-1]["role"] == "assistant": messages.append({"role": "user", "content": "please continue"}) res = openai.ChatCompletion.create( model="gpt-3.5-turbo-0301", messages=messages, ) messages.append(res["choices"][0]["message"]) finish_reason = res["choices"][0]["finish_reason"] if len(messages) >= 5: break response_text = " ".join( [msg["content"] for msg in messages if msg["role"] == "assistant"] ).strip() return response_text with gr.Blocks(css="") as demo: gr.Markdown("# ✒️ Writing Comrade") gr.Markdown("Comrade, I'm your faithful writing fellow powered by ChatGPT. Destination, commander?") gr.Markdown( "🎮 This demo is hosted on: [Huggingface Spaces](https://huggingface.co/spaces/Spico/writing-comrade)
" "⭐ Star me on GitHub: [Spico197/writing-comrade](https://github.com/Spico197/writing-comrade)
" "You may want to follow [this instruction](https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key) to get an API key." ) with gr.Row(): api_key = gr.Textbox(label='OpenAI API Key', type="password") with gr.Row().style(equal_height=True): with gr.Column(scale=3): emojis = "📝🥊💎🍦🚌🎤" task_type = gr.Radio([f"{emojis[i]}{k.title()}" for i, k in enumerate(instructions.keys())], label="Task") with gr.Column(min_width=100): tgt_lang = gr.Textbox(label="Target language in translation") with gr.Column(): text_button = gr.Button("Can~ do!", variant="primary") with gr.Row(): with gr.Column(): text_input = gr.TextArea(lines=15, label="Input") with gr.Column(): text_output = gr.TextArea(lines=15, label="Output") text_button.click( chat, inputs=[task_type, text_input, api_key, tgt_lang], outputs=text_output ) demo.launch(show_error=True)