Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""Untitled13.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1916fw1h61Jt2FokODxZbZXbIRnBrlwM5
+"""
+
+import gradio as gr
+
+from transformers import pipeline
+
+from langchain import PromptTemplate
+from langchain.document_loaders import WebBaseLoader
+from langchain.schema import StrOutputParser
+from langchain.schema.prompt_template import format_document
+from langchain.chains import LLMChain
+from langchain_google_genai import ChatGoogleGenerativeAI
+
+import ast
+import os
+import getpass
+import matplotlib.pyplot as plt
+
+api_key = os.environ.get('GOOGLE_API_KEY')
+if api_key is None:
+    raise ValueError("No API key found. Please set the 'GOOGLE_API_KEY' environment variable.")
+
+os.environ['GOOGLE_API_KEY'] = api_key
+
+# Initialize the OCR pipeline
+ocr_pipe = pipeline("image-to-text", model="jinhybr/OCR-Donut-CORD")
+
+
+# Define the initial prompt for the LLM
+initial_prompt = '''
+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:
+
+1. The type of test (General or Academic)
+2. The task number (Task 1 or Task 2)
+3. The specific question for this task
+4. The author's written response
+
+Please follow these steps for your evaluation:
+
+1. Provide a score on the IELTS scale (0-9 points).
+2. Leave a space.
+3. Detail the weaknesses and mistakes in the writing.
+
+Evaluate the writing based on the following four criteria:
+- Task Response
+- Coherence and Cohesion
+- Lexical Resource
+- Grammatical Range and Accuracy
+
+Respond in this exact format:
+
+Task type: [task type]
+
+Task number: [task number]
+
+score: [score]
+
+Weaknesses and Mistakes:
+
+[Weaknesses and Mistakes]
+
+Notes:
+
+- The text may have been obtained via OCR, which could result in some errors.
+- Disregard any text enclosed in <>. They separate different parts of the text.
+- If the Task type is empty, try to identify the task type from the question. If you cannot determine the task type, mention that the task type is unclear.
+- If the specific question is not present in the task content, mention that the question does not exist in the task response.
+
+
+Task type: {task_type}
+
+Task number: {task_number}
+
+Question: {question}
+
+Task content: {content}
+'''
+
+# Initialize the LLM
+llm_model = ChatGoogleGenerativeAI(model="gemini-pro", temperature=0.7, top_p=0.85)
+
+# Define the prompt template
+prompt = PromptTemplate(input_variables=['task_type', 'task_number', 'question', 'content'], template=initial_prompt)
+
+# Define the LLM chain
+chain = LLMChain(
+    llm=llm_model,
+    prompt=prompt,
+)
+
+def evaluate(task_type, task_number, question, image):
+    # Process the image to extract text
+    text_content = ocr_pipe(image)
+    content = text_content[0]['generated_text']
+
+    # Run the chain
+    result = chain.run({
+        'task_type': task_type,
+        'task_number': task_number,
+        'question': question,
+        'content': content
+    })
+
+    return result
+
+# Create the Gradio interface
+inputs = [
+    gr.Dropdown(choices=["Academic", "General"], label="Task Type", value="Academic"),
+    gr.Dropdown(choices=["Task 1", "Task 2"], label="Task Number", value="Task 1"),
+    gr.Textbox(label="Question", value=""),
+    gr.Image(type="pil", label="Upload Image")
+]
+
+
+outputs = gr.Markdown(label="Result")
+
+gr.Interface(fn=evaluate, inputs=inputs, outputs=outputs, title="IELTS Writing Evaluation").launch()