|
|
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, |
|
|
): |
|
|
messages = [{"role": "system", "content": system_message}] |
|
|
|
|
|
messages.extend(history) |
|
|
|
|
|
messages.append({"role": "user", "content": message}) |
|
|
|
|
|
headers = { |
|
|
"Content-Type": "application/json", |
|
|
"Authorization": f"Bearer {API_TOKEN}" |
|
|
} |
|
|
|
|
|
data = { |
|
|
"model": "/data/DMind-1", |
|
|
"stream": True, |
|
|
"messages": messages, |
|
|
"temperature": temperature, |
|
|
"top_p": top_p, |
|
|
"top_k": 20, |
|
|
"min_p": 0.1, |
|
|
"max_tokens": 32768 |
|
|
} |
|
|
|
|
|
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) > 16: |
|
|
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 |
|
|
except json.JSONDecodeError: |
|
|
continue |
|
|
if current_response: |
|
|
|
|
|
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('<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)", |
|
|
), |
|
|
], |
|
|
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() |
|
|
|
