import os import gradio as gr from openai import OpenAI import logging import anthropic from dotenv import load_dotenv load_dotenv(".env") logging.basicConfig(level=logging.INFO) logging.getLogger("gradio").setLevel(logging.INFO) logging.getLogger("httpx").setLevel(logging.WARNING) def generate_completion( input, history, api_key, model, system_prompt, temperature, max_tokens, ): if os.getenv("ANTHROPIC_API_KEY"): api_key = os.getenv("ANTHROPIC_API_KEY") if not api_key: # raise ValueError("API Key is required") yield "No API key provided" client = anthropic.Anthropic( api_key=api_key, ) messages = [] if history: for entry in history: if len(entry) == 2: messages.append( { "role": "user", "content": entry[0], } ) messages.append( { "role": "assistant", "content": entry[1], } ) messages.append( { "role": "user", "content": input, } ) with client.messages.stream( model=model, max_tokens=max_tokens, temperature=temperature, system=system_prompt, messages=messages, ) as stream: answer_str = "" for text in stream.text_stream: # print(text, end="", flush=True) answer_str += text yield answer_str api_key = gr.Textbox(label="API Key", type="password") model = gr.Textbox(label="Model", value="claude-3-opus-20240229") system_prompt = gr.Textbox( label="System Prompt", value="You are a world-class assistant.", ) temperature = gr.Slider(label="Temperature", value=0.0, minimum=0.0, maximum=1.0) max_tokens = gr.Slider(label="Max Tokens", value=4096, minimum=1, maximum=4096) demo = gr.ChatInterface( fn=generate_completion, additional_inputs=[ api_key, model, system_prompt, temperature, max_tokens, ], description="Claude Chatbot, Clone the space and add your own API key in the 'additional inputs' section. Get your key here: https://console.anthropic.com/login", fill_height=True, ) if __name__ == "__main__": demo.queue() demo.launch()