import gradio as gr import time import requests import json import os from urllib3.util.retry import Retry from requests.adapters import HTTPAdapter API_URL = os.getenv("API_URL") API_KEY = os.getenv("API_KEY") print(f"API_URL: {API_URL}") print(f"API_KEY: {API_KEY}") url = f"{API_URL}/v1/chat/completions" # The headers for the HTTP request headers = { "accept": "application/json", "Content-Type": "application/json", "Authorization": f"Bearer {API_KEY}", } def is_valid_json(data): try: parsed_data = json.loads(data) return True, parsed_data except ValueError as e: return False, str(e) with gr.Blocks() as demo: markup = gr.Markdown( """ # Mistral 7B Instruct v0.2 This is a demo of the Mistral 7B Instruct quantized model in GGUF (Q2) hosted on K8s cluster. The original models can be found [MaziyarPanahi/Mistral-7B-Instruct-v0.2-GGUF](https://huggingface.co/MaziyarPanahi/Mistral-7B-Instruct-v0.2-GGUF)""" ) chatbot = gr.Chatbot(height=500) msg = gr.Textbox(lines=1, label="User Message") clear = gr.Button("Clear") with gr.Row(): with gr.Column(scale=2): system_prompt_input = gr.Textbox( label="System Prompt", placeholder="Type system prompt here...", value="You are a helpful assistant.", ) temperature_input = gr.Slider( label="Temperature", minimum=0.0, maximum=1.0, value=0.9, step=0.01 ) max_new_tokens_input = gr.Slider( label="Max New Tokens", minimum=0, maximum=1024, value=256, step=1 ) with gr.Column(scale=2): top_p_input = gr.Slider( label="Top P", minimum=0.0, maximum=1.0, value=0.95, step=0.01 ) top_k_input = gr.Slider( label="Top K", minimum=1, maximum=100, value=50, step=1 ) repetition_penalty_input = gr.Slider( label="Repetition Penalty", minimum=1.0, maximum=2.0, value=1.1, step=0.01, ) def update_globals( system_prompt, temperature, max_new_tokens, top_p, top_k, repetition_penalty ): global global_system_prompt, global_temperature, global_max_new_tokens, global_top_p, global_repetition_penalty, global_top_k global_system_prompt = system_prompt global_temperature = temperature global_max_new_tokens = max_new_tokens global_top_p = top_p global_top_k = top_k global_repetition_penalty = repetition_penalty def user(user_message, history): return "", history + [[user_message, None]] def bot( history, system_prompt, temperature, max_new_tokens, top_p, top_k, repetition_penalty, ): print(f"History in bot: {history}") print(f"System Prompt: {system_prompt}") print(f"Temperature: {temperature}") print(f"Max New Tokens: {max_new_tokens}") print(f"Top P: {top_p}") print(f"Top K: {top_k}") print(f"Repetition Penalty: {repetition_penalty}") history_messages = [{"content": h[0], "role": "user"} for h in history if h[0]] history[-1][1] = "" sys_msg = [ { "content": ( system_prompt if system_prompt else "You are a helpful assistant." ), "role": "system", } ] history_messages = sys_msg + history_messages print(history_messages) # Create a session object session = requests.Session() # Define the retry strategy retries = Retry( total=5, # Total number of retries to allow backoff_factor=1, # A backoff factor to apply between attempts status_forcelist=[ 500, 502, 503, 504, ], # A set of HTTP status codes that we should force a retry on allowed_methods=[ "HEAD", "GET", "OPTIONS", "POST", ], # HTTP methods to retry on ) data = { "messages": history_messages, "stream": True, "temprature": temperature, "top_k": top_k, "top_p": top_p, "seed": 42, "repeat_penalty": repetition_penalty, "chat_format": "mistral-instruct", "max_tokens": max_new_tokens, # "response_format": { # "type": "json_object", # }, } # Mount it for http usage session.mount("http://", HTTPAdapter(max_retries=retries)) # Making the POST request with increased timeout and retry logic try: response = session.post( url, headers=headers, data=json.dumps(data), stream=True, timeout=(10, 30), ) if response.status_code == 200: for line in response.iter_lines(): if line: for line in response.iter_lines(): # Filter out keep-alive new lines if line: data = line.decode("utf-8").lstrip("data: ") # Check if the examples are valid valid_check = is_valid_json(data) if valid_check[0]: try: # Attempt to parse the JSON dataa # json_data = json.loads(data) json_data = valid_check[1] delta_content = ( json_data.get("choices", [{}])[0] .get("delta", {}) .get("content", "") ) if delta_content: # Ensure there's content to print history[-1][1] += delta_content time.sleep(0.05) yield history except json.JSONDecodeError as e: print(f"Error decoding JSON: {e} date: {data}") except requests.exceptions.RequestException as e: print(f"An error occurred: {e}") msg.submit( user, [msg, chatbot], [msg, chatbot], queue=True, concurrency_limit=10 ).then( bot, inputs=[ chatbot, system_prompt_input, temperature_input, max_new_tokens_input, top_p_input, top_k_input, repetition_penalty_input, ], outputs=chatbot, ) clear.click(lambda: None, None, chatbot, queue=False) demo.queue(default_concurrency_limit=20, max_size=20, api_open=False) if __name__ == "__main__": demo.launch(show_api=False, share=False)