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hosseinhimself
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Parent(s):
e4c5b39
Update app.py
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app.py
CHANGED
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import gradio as gr
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from transformers import pipeline
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from langchain import PromptTemplate
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from langchain.document_loaders import WebBaseLoader
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from langchain.schema import StrOutputParser
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from langchain.schema.prompt_template import format_document
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from langchain.chains import LLMChain
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from langchain_google_genai import ChatGoogleGenerativeAI
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import ast
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import os
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import getpass
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import matplotlib.pyplot as plt
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api_key = os.environ.get('GOOGLE_API_KEY')
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if api_key is None:
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# Initialize the OCR pipeline
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ocr_pipe = pipeline("image-to-text", model="jinhybr/OCR-Donut-CORD")
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# Define the initial prompt for the LLM
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initial_prompt = '''
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You are an IELTS writing examiner. Below, you will receive a series of details pertaining to a writing task. Please evaluate the writing based on the information provided:
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2. The task number (Task 1 or Task 2)
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3. The specific question for this task
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4. The author's written response
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Please follow these steps for your evaluation:
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@@ -78,7 +112,7 @@ Task content: {content}
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llm_model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.7, top_p=0.85)
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# Define the prompt template
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prompt = PromptTemplate(input_variables=['task_type', 'task_number', 'question', 'content'], template=initial_prompt)
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# Define the LLM chain
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chain = LLMChain(
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text_content = ocr_pipe(image)
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content = text_content[0]['generated_text']
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# Run the chain
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result = chain.run({
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'task_type': task_type,
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'task_number': task_number,
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'question': question,
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'content': content
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})
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return result
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@@ -109,7 +147,6 @@ inputs = [
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gr.Image(type="pil", label="Upload Image")
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]
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outputs = gr.Markdown(label="Result")
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gr.Interface(fn=evaluate, inputs=inputs, outputs=outputs, title="IELTS Writing Evaluation").launch(share=True)
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import gradio as gr
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from transformers import pipeline
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from langchain import PromptTemplate
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from langchain.chains import LLMChain
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from langchain_google_genai import ChatGoogleGenerativeAI
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import os
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api_key = os.environ.get('GOOGLE_API_KEY')
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if api_key is None:
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# Initialize the OCR pipeline
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ocr_pipe = pipeline("image-to-text", model="jinhybr/OCR-Donut-CORD")
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# Define detailed descriptions
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descriptions = {
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("Academic", "Task 1"): """You are evaluating an Academic Task 1. The candidate is expected to describe, summarize, or explain a visual representation (such as a graph, chart, table, or diagram). They should write a minimum of 150 words. Key features to look for include:
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1. **Introduction:** A brief introduction of what the visual representation is about.
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2. **Overview:** A clear and concise summary of the main trends, differences, or stages without going into too much detail.
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3. **Detailed Description:** Description of the main features in detail, highlighting significant trends, making comparisons where relevant, and mentioning important data points or changes.
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4. **Logical Structure:** The report should be organized logically, ensuring it flows coherently from one point to the next.
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5. **Formal Tone:** The writing should maintain a formal and objective tone, avoiding personal opinions or casual language.
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6. **Accurate Data Reporting:** Accurate reporting of data without inaccuracies or overgeneralizations.
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7. **Use of Linking Words:** Appropriate use of linking words and phrases to connect ideas and sentences (e.g., however, therefore, in contrast, similarly).""",
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("General", "Task 1"): """You are evaluating a General Training Task 1. The candidate is expected to write a letter in response to a given situation. They should write a minimum of 150 words. Key features to look for include:
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1. **Introduction:** A clear statement of the purpose of the letter in the opening sentence.
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2. **Body:** Inclusion of relevant details depending on the task (e.g., explaining a problem, extending an invitation). If writing a complaint, they should explain the problem and possible solutions. If writing an invitation, include necessary details like date, time, and location.
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3. **Conclusion:** A polite closing statement.
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4. **Appropriate Tone:** Matching the tone of the letter to the given situation (formal for official letters, semi-formal for professional acquaintances, and informal for friends or family).
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5. **Structure and Organization:** Organized into clear paragraphs, each addressing a specific point or aspect of the task.
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6. **Polite and Courteous Language:** Polite and courteous language, especially in formal and semi-formal letters.
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7. **Use of Linking Words:** Appropriate use of linking words and phrases to ensure coherence (e.g., firstly, moreover, consequently).""",
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("Academic", "Task 2"): """You are evaluating an Academic Task 2. The candidate is expected to write an essay in response to a point of view, argument, or problem. They should write a minimum of 250 words. Key features to look for include:
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1. **Introduction:** An introduction that paraphrases the task statement and states the thesis or main argument.
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2. **Body Paragraphs:** Development of the argument in 2-3 body paragraphs, each focusing on a single main idea, supported by examples and evidence.
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3. **Clear Position:** A clear and consistent position on the topic throughout the essay. If discussing both sides of an issue, making it clear which side they agree with (if any).
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4. **Logical Progression:** Logical organization and coherence from one point to the next.
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5. **Formal Tone:** Maintenance of a formal and academic tone throughout.
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6. **Use of Linking Words:** Appropriate use of linking words and phrases to connect ideas and paragraphs (e.g., on the other hand, in addition, furthermore, in conclusion).
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7. **Conclusion:** A conclusion that summarizes the main points and restates the position or provides a final thought.
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8. **Complex Sentence Structures:** Demonstration of a variety of complex sentence structures.
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9. **Vocabulary Range:** Use of a wide range of vocabulary accurately and appropriately.""",
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("General", "Task 2"): """You are evaluating a General Training Task 2. The candidate is expected to write an essay in response to a point of view, argument, or problem. They should write a minimum of 250 words. Key features to look for include:
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1. **Introduction:** An introduction that paraphrases the task statement and states the thesis or main argument.
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2. **Body Paragraphs:** Development of the argument in 2-3 body paragraphs, each focusing on a single main idea, supported by examples and evidence.
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3. **Clear Position:** A clear and consistent position on the topic throughout the essay. If discussing both sides of an issue, making it clear which side they agree with (if any).
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4. **Logical Progression:** Logical organization and coherence from one point to the next.
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5. **Formal Tone:** Maintenance of a formal and academic tone throughout.
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6. **Use of Linking Words:** Appropriate use of linking words and phrases to connect ideas and paragraphs (e.g., on the other hand, in addition, furthermore, in conclusion).
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7. **Conclusion:** A conclusion that summarizes the main points and restates the position or provides a final thought.
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8. **Complex Sentence Structures:** Demonstration of a variety of complex sentence structures.
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9. **Vocabulary Range:** Use of a wide range of vocabulary accurately and appropriately."""
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}
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# Define the initial prompt for the LLM
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initial_prompt = '''
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You are an IELTS writing examiner. Below, you will receive a series of details pertaining to a writing task. Please evaluate the writing based on the information provided:
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{description}
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Please follow these steps for your evaluation:
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llm_model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.7, top_p=0.85)
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# Define the prompt template
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prompt = PromptTemplate(input_variables=['task_type', 'task_number', 'question', 'content', 'description'], template=initial_prompt)
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# Define the LLM chain
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chain = LLMChain(
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text_content = ocr_pipe(image)
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content = text_content[0]['generated_text']
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# Select the appropriate description based on user input
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description = descriptions.get((task_type, task_number), "")
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# Run the chain
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result = chain.run({
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'task_type': task_type,
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'task_number': task_number,
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'question': question,
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'content': content,
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'description': description
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})
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return result
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gr.Image(type="pil", label="Upload Image")
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]
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outputs = gr.Markdown(label="Result")
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gr.Interface(fn=evaluate, inputs=inputs, outputs=outputs, title="IELTS Writing Evaluation").launch(share=True)
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