KET / app.py
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import streamlit as st
import random
import openai
import os
from PIL import Image
from transformers import pipeline
# 初始化图片描述生成模型
image_to_text = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
# Set OpenAI API key
OPENAI_API_KEY = st.secrets["OPENAI_API_KEY"]
if not OPENAI_API_KEY:
st.error("OPENAI_API_KEY not set in environment variables!")
raise SystemExit
openai.api_key = OPENAI_API_KEY
st.set_page_config(layout="wide", initial_sidebar_state="collapsed")
def split_image(image, output_dir='.'):
# 获取图片尺寸
width, height = image.size
# 计算每一部分的宽度
part_width = width // 3
# 存储分割后图片的路径和描述
results = []
# 分割图片并保存
for i in range(3):
left = i * part_width
right = left + part_width if i != 2 else width
part_img = image.crop((left, 0, right, height))
file_path = os.path.join(output_dir, f'part_{i + 1}.png')
part_img.save(file_path)
# 生成图片描述
caption = image_to_text(part_img)
results.append((file_path, caption))
return results
def add_numbering_after_dot(input_string):
sentences = input_string.split(".")
numbered_sentences = []
sentence_count = 1
for sentence in sentences:
sentence = sentence.strip()
if sentence:
numbered_sentences.append(f"{sentence}.【{sentence_count}】")
sentence_count += 1
return " ".join(numbered_sentences)
def add_paragraph_numbering(input_text):
paragraphs = input_text.split("\n\n")
numbered_text = ""
for i, paragraph in enumerate(paragraphs, start=1):
numbered_text += f"{i}. {paragraph}\n\n"
return numbered_text
def get_completion_from_messages(messages,
model="gpt-3.5-turbo-16k",
temperature=0, max_tokens=1000):
response = openai.ChatCompletion.create(
model=model,
messages=messages,
temperature=temperature,
max_tokens=max_tokens,
)
return response.choices[0].message["content"]
student_essay = '''One Saturday, Jack’s parents were sitting in the sofa and reading a magazic. “
I want to go Sanya on holiday!” said Jack in a cheerful manner. “Let’s go!”
A few minutes later they arrived to the air plane station.
Suddenly, the sky turned black and it stared to rain. “Oh, it’s a bad weather to go travelling!’ said Jack.
One hours later, they arrived the Sanya,
the sky was sunny and they played on the beach. “What a wonderful day!” said Jack.'''
example = """
student essay: One day, dad was reading a magazine where there have lots of information in it.
“Would you like to go on holiday in San Ya?” asked dad. He thinks San Ya is a warm city in China,
which is the perfect place to spend holiday. Then, he bought three tickets.
It rains dogs and cats when they were going to the plane. “What a bad weather!” said Tom.
One days ago, they arrived at there on Saturday.
A local person, who is the photographer, helped they took a photo. They had a happy holiday.
you should return:
Total mark: 15 points
------------------------------------------------------------------------------------
Content
5 points
- Each picture involves content: ✔️
- Each image contains 2-3 sentences; if sub-clauses are used, description can be reduced to 1-2 sentences for each image: ✔️
- Writing is relevant with sufficient information conveyed: ✔️
------------------------------------------------------------------------------------
Organization
5 points
- Structured writing with clear introduction, body, and conclusion. The first two sentences provide clear context regarding time, place, individuals, and actions: ✔️
- Sentences are 90% logically connected: ✔️
- Incorporates 2-3 different linkage techniques such as conjunctions (because, but, so) and adverbs (unexpectedly, fortunately): ✔️
- Uses at least 5 linkage techniques, with a mixture of 2-3 different methods: ✔️
------------------------------------------------------------------------------------
Language
5 points
Dimension 1: Complexity
- About 20% (15-20%) of words are bi-syllabic or multi-syllabic: ✔️
- Includes 3 words of B1 level or above: ✔️
- Covers 2-3 types of sub-clauses: adverbial and relative: ✔️
- At least 3 compound sentence structures: ✔️
Dimension 2: Diversity
- Diverse word usage without obvious repetitive grammar structures: ✔️
Language Dimension 3: Accuracy
- Word spelling errors (e.g., "the-they") and grammatical errors (e.g., "...Where there were lots of pleasant beaches...; I wanted to travelling to Sanya, Because"): ❌ (Vocabulary richness compensates for this shortcoming)
"""
example_2 = """
student essay:In the first picture the family is looking for a maps and magazine of Hawai. In the second picture is raining and the family is took a plane. In the thirt picture the family is in the beach and have sunglasses.
you should return:
Total mark: 6 points
------------------------------------------------------------------------------------
Content
3 points
- Each picture involves content: ✔️
- Each image should have 2-3 sentences; if sub-clauses are used, description can be reduced to 1-2 sentences for each image: ❌
- Writing is partially relevant and some information is not sufficiently conveyed: -
------------------------------------------------------------------------------------
Organization
1 point
- Structured writing with a clear introduction, body, and conclusion. The first two sentences provide clear context regarding time, place, individuals, and actions: ✔️
- Less than 90% logical connection between sentences: ❌
- Insufficient use of linkage techniques: ❌
------------------------------------------------------------------------------------
Language
2 points
*Dimension 1: Complexity*
- About 30% of words are bi-syllabic or multi-syllabic: ✔️
- Lacks B1 level or above vocabulary: ❌
- Does not incorporate sub-clauses: ❌
- Only one coordinated sentence using "and": -
*Dimension 2: Diversity*
- Repetitive use of words such as "picture" (3 times), "family" (3 times), and present continuous tense (2 times): ❌
*Dimension 3: Accuracy*
- Two word spelling errors: "Hawai", "thirt". Grammatical errors in 2 places: "is took a plane", "is have sunglasses": ❌
- Can form complete sentences and uses basic words, so the examiner might award an additional 1 point for effort.
"""
system_message = f'''
你是一个剑桥KET作文老师。
请你认真批改学生在【】符号中的作文
首先你会给出你的评分,在评分文章时,你会从以下方面考虑:
Content
Organization
Language
记住KET的Band Score都是整数
total = Content Band Score + Organization Band Score + Language Band Score。
以下是评分的要求:
Band 5:Content:一个高质量的5级作文要确保每一幅图的内容都被涉及,并且每幅图都至少有2-3个句子描述(如果使用从句,描述可以缩减到1-2句)。整体的写作内容需要与主题紧密相关,并确保信息得到充分的传达。
Organization:作文需要有一个完整的结构,包括明确的开头、经过和结尾,且第一句应清晰地交代时间、地点、人物和行为。句子之间的逻辑连接需要达到90%以上,使用的衔接手段需要多样,涵盖两到三种不同类型(如连词、指代和特定的副词)。而且,衔接手段的使用不能少于5次,且不能都是同一种手段。
Language:复杂度:这要求作文中双音节和多音节词的占比为15-20%,至少有3-5个非日常生活词汇,包括2-3种不同类型的从句(如宾语从句、状语从句和定语从句),以及不少于3句的复合句式。
丰富度:作文中的单词和句子结构应该变化丰富,相同的单词和句式最多只能出现1次(人名除外)。
准确度:作文中的单词拼写和句式使用错误不能超过3个,并特别注意描述语言应使用过去时态,而对话部分则没有时态限制。
Band 4:Content:1.每幅图的内容都涉及 2.每幅图至少有1个句子 3.写作内容基本相关,1幅图细节不充分
Organization:1. 结构完整(明确的开头、经过和结尾)2.句与句之间有70%的衔接逻辑 3.包含两种衔接手段:连词、指代或副词 4.衔接手段数量为3-5个(涵盖两个种类)
Language:维度1:复杂度 1.双音节、多音节词占比为10-15% 2.有1-2个非日常生活词汇 3.1-2种从句:宾从、状从或定从 4.复合句式2-3句
维度2:丰富度 相同单词、句式结构最多复现2次
维度3:准确度 单词拼写错误、句式错误:3-5个(描述语言使用过去时态,对话语言不限时态)
Band 3:Content:1.每幅图内容基本涉及 2.每幅图至少有1个句子 3.写作内容稍偏离主题,至少有1幅图细节不充分
Organization:1.结构完整(明确的开头、经过和结尾)2.句与句之间有50%的衔接逻辑 3.包含一到两种衔接手段:连词、指代或副词4.衔接手段数量为2-4个(一个种类)
Language:维度1:复杂度 1. 双音节、多音节词占比为5-10% 2.单词均为日常生活词汇 3.1种从句:宾从、状从或定从 4.复合句式1句
维度2:丰富度 相同单词、句式复现2次以上
维度3:准确度 单词拼写错误、句式错误:6-8个(语言错误少于6个,可不写从句)
Band 2:Content:1.图片内容没有完全覆盖或图片信息有误 2.某一幅图片1个句子的描述都没有 3.写作内容稍偏离主题,至少2幅图片细节不充分
Organization:1. 结构不完整(有开头没经过或者有开头没结尾)2.句与句之间有一些逻辑(30%) 3.包含一种衔接手段:连词、指代或副词 4.衔接手段数量为1-2个
Language:维度1:复杂度 1.双音节、多音节词占比少于5% 2.单词均为日常生活词汇 3.无从句或复合句
维度2:准确度 单词拼写错误、句式错误:5-8个
Band 1:Content:1.图片信息缺漏、有误 2.两幅图片1个句子的描述都没有 3.写作内容与图片不相干
Organization:1.故事结构不完整 2.句与句之间几乎无逻辑(10%) 3.包含一种衔接手段:连词、指代或副词 4.衔接手段数量为1个
Language:维度1:复杂度 1.双音节、多音节词占比少于3% 2.单词均为日常生活词汇 3.无从句或复合句
维度2:准确度 单词拼写错误、句式错误:10个以上
Band 0:Content:写作内容与图片毫无关联
Organization:1. 缺乏故事结构 2.句与句之间毫无逻辑(0%) 3.无衔接手段
Language:1. 无双音节、多音节单词 2.无完整句型
把回答都整理成markdown格式。不要给出具体建议和修改文章。
这是一个具体的例子:{example}
这是另一个例子:{example_2}
'''
st.markdown("""
<h2 style='color: black;'>
阅思乐KET作文批改 demo 0.0.1
</h2>
""",
unsafe_allow_html=True
)
st.markdown(
"""
<style>
/* 修改标题的大小 */
.streamlit-container h1 {
font-size: 2.5em !important;
}
</style>
""",
unsafe_allow_html=True,
)
col1, col2 = st.columns([3,3])
with col1:
uploaded_image = st.file_uploader("上传作文图片", type=["jpg", "png", "jpeg"])
if uploaded_image:
with st.spinner('处理图片...'):
st.image(uploaded_image, caption="已上传的图片。", use_column_width=True)
image = Image.open(uploaded_image).convert("RGB")
output_dir = '.'
caption_results = split_image(image, output_dir)
student_essay = st.text_area(
" 输入你的作文",
height= 400
)
push = False
if st.button("开始打分"):
push = True
with col2:
st.markdown(
"""
<style>
/* 创建一个固定大小的容器,并允许滚动 */
.scrollable-container {
max-height: 400px; /* 容器的高度 */
overflow-y: auto; /* 允许垂直滚动 */
}
</style>
""",
unsafe_allow_html=True,
)
if student_essay and push and uploaded_image:
progress_placeholder = st.empty()
progress_text = "开始打分"
my_bar = progress_placeholder.progress(0, text=progress_text)
query = str(student_essay)
user_message = query
messages = [
{'role':'system',
'content': system_message},
{'role':'user',
'content': f"请记住你的设定和评分标准【{query}】, 三张图片对应的captions分别是:{caption_results}"},]
response = get_completion_from_messages(messages)
my_bar.progress(50, text="开始提供相关素材")
system_message_4 = '''
你是一个KET老师,根据学生提供的文章,提供一些素材和观点的地道英文表达及中文释义;
在每句英文的后面的括号里给出中文释义
并把回答都整理成markdown格式。
这是一个具体的例子:
返回:
❤ 此类文章可能会用到的高分素材和观点,提供给你参考 ❤
- it was a scorching summer day.
- ... along which there were a wide variety of shops.
- It was terrible to run on such a scorching/burning day.
- The moment he stopped for a short break, he had sweated heavily. (一般过去时与过去完成时连用)
- The reason why he went into a convenient store was that he wanted to get something icy to drink.
- ...sweated heavily; Jimmy asked the shopkeeper politely
- ...replied Jimmy in a cheerful manner.
学生:'''
user_message = query
messages = [
{'role':'system',
'content': system_message_4},
{'role':'user',
'content': f"请记住你的设定【{query}】"},]
response3 = get_completion_from_messages(messages)
my_bar.progress(100, text="打分完成")
st.markdown('<div class="scrollable-container">', unsafe_allow_html=True)
with st.container():
st.markdown(response)
st.divider()
with st.container():
st.markdown("""
<h4 style='color: black;'>
素材建议
</h4>
""",
unsafe_allow_html=True
)
st.write(response3)
my_bar.empty()
st.markdown('</div>', unsafe_allow_html=True)