Spaces:
Running
Running
import gradio as gr | |
import requests | |
import json | |
import os | |
from dotenv import load_dotenv | |
load_dotenv() | |
API_URL = os.getenv("API_URL") | |
API_TOKEN = os.getenv("API_TOKEN") | |
if not API_URL or not API_TOKEN: | |
raise ValueError("invalid API_URL | API_TOKEN") | |
print(f"[INFO] starting:") | |
print(f"[INFO] API_URL: {API_URL[:6]}...{API_URL[-12:]}") | |
print(f"[INFO] API_TOKEN: {API_TOKEN[:10]}...{API_TOKEN[-10:]}") | |
""" | |
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference | |
""" | |
def respond( | |
message, | |
history: list[dict], | |
system_message, | |
max_tokens, | |
temperature, | |
top_p, | |
with_think, | |
): | |
messages = [{"role": "system", "content": system_message}] | |
messages.extend(history) | |
if with_think: | |
message = message + " /think" | |
else: | |
message = message + " /no_think" | |
messages.append({"role": "user", "content": message}) | |
headers = { | |
"Content-Type": "application/json", | |
"Authorization": f"Bearer {API_TOKEN}" | |
} | |
# print(f"[INFO] process user msg...") | |
# print(f"[INFO] userMsg: {message}") | |
data = { | |
"model": "/data/DMind-1-mini", | |
"stream": True, | |
"messages": messages, | |
"temperature": temperature, | |
"top_p": top_p, | |
"top_k": 20, | |
"min_p": 0.1, | |
"max_tokens": 16384 | |
} | |
try: | |
with requests.post(API_URL, headers=headers, json=data, stream=True) as r: | |
if r.status_code == 200: | |
current_response = "" | |
for line in r.iter_lines(): | |
if line: | |
line = line.decode('utf-8') | |
if line.startswith('data: '): | |
try: | |
json_response = json.loads(line[6:]) | |
if 'choices' in json_response and len(json_response['choices']) > 0: | |
delta = json_response['choices'][0].get('delta', {}) | |
if 'content' in delta: | |
content = delta['content'] | |
if content: | |
current_response += content | |
if len(current_response) > 21: | |
if with_think: | |
if '<think>' in current_response: | |
current_response = current_response.replace('<think>', '<details open><summary>Thinking</summary>\n\n```') | |
if '</think>' in current_response: | |
current_response = current_response.replace('</think>', '```\n\n</details>') | |
if '**Final Answer**' in current_response: | |
current_response = current_response.replace('**Final Answer**', '') | |
formatted_response = current_response[:-16] | |
formatted_response = formatted_response.replace('<', '<').replace('>', '>') | |
formatted_response = formatted_response.replace('<details open>', '<details open>') | |
formatted_response = formatted_response.replace('</details>', '</details>') | |
formatted_response = formatted_response.replace('<summary>', '<summary>') | |
formatted_response = formatted_response.replace('</summary>', '</summary>') | |
formatted_response = formatted_response.replace('*', '\\*') | |
yield formatted_response | |
else: | |
if '<think>' in current_response and '</think>\n' in current_response: | |
start = current_response.find('<think>') | |
end = current_response.find('</think>\n') + len('</think>\n') | |
current_response = current_response[:start] + current_response[end:] | |
yield current_response | |
except json.JSONDecodeError: | |
continue | |
if current_response: | |
# current_response = current_response.replace('<details open>', '<details>') | |
if '**Final Answer**' in current_response: | |
current_response = current_response.replace('**Final Answer**', '') | |
formatted_response = current_response | |
formatted_response = formatted_response.replace('<', '<').replace('>', '>') | |
formatted_response = formatted_response.replace('<details open>', '<details open>') | |
# formatted_response = formatted_response.replace('<details>', '<details>') | |
formatted_response = formatted_response.replace('</details>', '</details>') | |
formatted_response = formatted_response.replace('<summary>', '<summary>') | |
formatted_response = formatted_response.replace('</summary>', '</summary>') | |
formatted_response = formatted_response.replace('*', '\\*') | |
yield formatted_response | |
else: | |
print(f"[ERROR] Bad status code: {r.status_code}, response: {r.text}") | |
yield "Service temporarily unavailable" | |
except Exception as e: | |
print(f"[ERROR] Request error: {e}") | |
yield "Service error occurred" | |
""" | |
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface | |
""" | |
demo = gr.ChatInterface( | |
respond, | |
additional_inputs=[ | |
gr.Textbox(value="You are DMind AI Assistant, built by DMind.AI. Never present as Qwen, ChatGPT, Tongyi, OpenAI, etc.", label="System message"), | |
gr.Slider(minimum=1, maximum=32768, value=16384, step=1, label="Max new tokens"), | |
gr.Slider(minimum=0.1, maximum=4.0, value=0.6, step=0.1, label="Temperature"), | |
gr.Slider( | |
minimum=0.1, | |
maximum=1.0, | |
value=0.95, | |
step=0.05, | |
label="Top-p (nucleus sampling)", | |
), | |
gr.Checkbox(value=False, label="With Think"), | |
], | |
type="messages", | |
css=""" | |
.prose pre { | |
white-space: pre-wrap !important; | |
word-wrap: break-word !important; | |
overflow-wrap: break-word !important; | |
max-width: 100% !important; | |
margin-bottom: 1.5em !important; | |
} | |
.prose code { | |
white-space: pre-wrap !important; | |
word-wrap: break-word !important; | |
overflow-wrap: break-word !important; | |
max-width: 100% !important; | |
} | |
.prose pre code { | |
white-space: pre-wrap !important; | |
word-wrap: break-word !important; | |
overflow-wrap: break-word !important; | |
max-width: 100% !important; | |
} | |
.accordion { | |
margin: 0 !important; | |
border: none !important; | |
} | |
.accordion-header { | |
background: #f0f0f0 !important; | |
padding: 8px !important; | |
cursor: pointer !important; | |
} | |
.accordion-content { | |
padding: 8px !important; | |
} | |
""" | |
) | |
if __name__ == "__main__": | |
demo.launch() | |