t5

Dockerfile

@@ -1,10 +1,14 @@
+#FROM python:3.8.13
 FROM artifacts.iflytek.com/docker-private/atp/base_image_for_ailab:0.0.1
 
 WORKDIR /app
 
-COPY . /app
+COPY requirements.txt /app
 
 RUN pip config set global.index-url https://pypi.mirrors.ustc.edu.cn/simple 
 RUN pip install -r requirements.txt
 
+COPY . /app
+
+
 CMD ["python", "app.py"]

app.py

@@ -25,7 +25,8 @@ demo = gr.Interface(fn=sentiment_analysis,
                     outputs='text',
                     examples=[["We describe a system called Overton, whose main design goal is to support engineers in building, monitoring, and improving production  machinelearning systems. Key challenges engineers face are monitoring fine-grained quality, diagnosing errors in sophisticated applications, and  handling contradictory or incomplete supervision data. Overton automates the life cycle of model construction, deployment, and monitoring by providing a set of novel high-level, declarative abstractions. Overton's vision is to shift developers to these higher-level tasks instead of lower-level machine learning tasks.  In fact, using Overton, engineers can build deep-learning-based applications without writing any code in frameworks like TensorFlow. For over a year,  Overton has been used in production to support multiple applications in both near-real-time applications and back-of-house processing.  In that time, Overton-based applications have answered billions of queries in multiple languages and processed trillions of records reducing errors  1.7-2.9 times versus production systems."]],
                     theme = theme,
-                    title = "摘要"
+                    css = "footer {visibility: hidden}",
+                    allow_flagging = "never",
                     )