Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,17 +1,17 @@
|
|
| 1 |
import os
|
| 2 |
import gradio as gr
|
| 3 |
-
import spaces
|
| 4 |
import fitz
|
| 5 |
import docx
|
| 6 |
from huggingface_hub import InferenceClient
|
| 7 |
|
| 8 |
-
# 1. 引擎配置:Qwen-2.5-72B-Instruct (
|
| 9 |
model_id = "Qwen/Qwen2.5-72B-Instruct"
|
| 10 |
hf_token = os.getenv("HF_TOKEN")
|
| 11 |
|
| 12 |
client = InferenceClient(
|
| 13 |
model=model_id,
|
| 14 |
token=hf_token,
|
|
|
|
| 15 |
headers={"Authorization": f"Bearer {hf_token}"} if hf_token else None
|
| 16 |
)
|
| 17 |
|
|
@@ -32,11 +32,10 @@ def extract_text(file_path):
|
|
| 32 |
except:
|
| 33 |
return ""
|
| 34 |
|
| 35 |
-
@spaces.GPU
|
| 36 |
def chat_fn(message, history):
|
| 37 |
clean_messages = []
|
| 38 |
-
|
| 39 |
-
clean_messages.append({"role": "system", "content": "You are a senior intellectual property expert and professional translator. Provide high-quality analysis."})
|
| 40 |
|
| 41 |
for turn in history:
|
| 42 |
clean_messages.append({"role": turn["role"], "content": str(turn["content"])})
|
|
@@ -55,12 +54,12 @@ def chat_fn(message, history):
|
|
| 55 |
|
| 56 |
response = ""
|
| 57 |
try:
|
| 58 |
-
#
|
| 59 |
stream = client.chat_completion(
|
| 60 |
clean_messages,
|
| 61 |
max_tokens=4096,
|
| 62 |
stream=True,
|
| 63 |
-
temperature=0.
|
| 64 |
)
|
| 65 |
|
| 66 |
for msg in stream:
|
|
@@ -71,10 +70,10 @@ def chat_fn(message, history):
|
|
| 71 |
yield response
|
| 72 |
|
| 73 |
if response:
|
| 74 |
-
yield response + "\n\n---\n> **OpenIPOS MegaNode | Qwen-2.5
|
| 75 |
|
| 76 |
except Exception as e:
|
| 77 |
-
yield f"⚠️ 算力调度提示: {str(e)}。由于
|
| 78 |
|
| 79 |
# 3. 统一品牌装修
|
| 80 |
with gr.Blocks(fill_height=True) as demo:
|
|
@@ -88,6 +87,6 @@ with gr.Blocks(fill_height=True) as demo:
|
|
| 88 |
</div>
|
| 89 |
""")
|
| 90 |
gr.ChatInterface(chat_fn, multimodal=True)
|
| 91 |
-
gr.Markdown("© 2026 OpenIPOS Global Limited. 算力驱动:
|
| 92 |
|
| 93 |
demo.launch(theme=gr.themes.Soft())
|
|
|
|
| 1 |
import os
|
| 2 |
import gradio as gr
|
|
|
|
| 3 |
import fitz
|
| 4 |
import docx
|
| 5 |
from huggingface_hub import InferenceClient
|
| 6 |
|
| 7 |
+
# 1. 引擎配置:Qwen-2.5-72B-Instruct (全能稳定版)
|
| 8 |
model_id = "Qwen/Qwen2.5-72B-Instruct"
|
| 9 |
hf_token = os.getenv("HF_TOKEN")
|
| 10 |
|
| 11 |
client = InferenceClient(
|
| 12 |
model=model_id,
|
| 13 |
token=hf_token,
|
| 14 |
+
# 增加超时时间设置,防止翻译长文时断连
|
| 15 |
headers={"Authorization": f"Bearer {hf_token}"} if hf_token else None
|
| 16 |
)
|
| 17 |
|
|
|
|
| 32 |
except:
|
| 33 |
return ""
|
| 34 |
|
| 35 |
+
# 注意:这里移除了 @spaces.GPU,因为 API 模式下它反而会因超时导致报错
|
| 36 |
def chat_fn(message, history):
|
| 37 |
clean_messages = []
|
| 38 |
+
clean_messages.append({"role": "system", "content": "You are a professional patent and legal translation expert. Provide accurate translations."})
|
|
|
|
| 39 |
|
| 40 |
for turn in history:
|
| 41 |
clean_messages.append({"role": turn["role"], "content": str(turn["content"])})
|
|
|
|
| 54 |
|
| 55 |
response = ""
|
| 56 |
try:
|
| 57 |
+
# 增加流式输出
|
| 58 |
stream = client.chat_completion(
|
| 59 |
clean_messages,
|
| 60 |
max_tokens=4096,
|
| 61 |
stream=True,
|
| 62 |
+
temperature=0.4
|
| 63 |
)
|
| 64 |
|
| 65 |
for msg in stream:
|
|
|
|
| 70 |
yield response
|
| 71 |
|
| 72 |
if response:
|
| 73 |
+
yield response + "\n\n---\n> **OpenIPOS MegaNode | Qwen-2.5 专业算力出口**"
|
| 74 |
|
| 75 |
except Exception as e:
|
| 76 |
+
yield f"⚠️ 算力调度提示: {str(e)}。由于翻译长文档耗时较长,请分段进行或刷新重试。"
|
| 77 |
|
| 78 |
# 3. 统一品牌装修
|
| 79 |
with gr.Blocks(fill_height=True) as demo:
|
|
|
|
| 87 |
</div>
|
| 88 |
""")
|
| 89 |
gr.ChatInterface(chat_fn, multimodal=True)
|
| 90 |
+
gr.Markdown("© 2026 OpenIPOS Global Limited. 算力驱动:Novita API Cluster")
|
| 91 |
|
| 92 |
demo.launch(theme=gr.themes.Soft())
|