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cli.py
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| 1 |
+
#!/usr/bin/env python3
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| 2 |
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"""
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| 3 |
+
Simple TOEFL Independent Speaking Judge - Command Line Interface
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| 4 |
+
Usage: python toefl_judge_cli.py
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| 5 |
+
"""
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| 6 |
+
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| 7 |
+
from mlx_lm import load, generate
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| 8 |
+
import re
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| 9 |
+
import argparse
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| 10 |
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import sys
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| 11 |
+
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| 12 |
+
class SimpleTOEFLJudge:
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| 13 |
+
def __init__(self, model_path="mlx-community/Llama-3.2-3B-Instruct-4bit", adapter_path="toefl_judge_adapter"):
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| 14 |
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"""Initialize the TOEFL judge with model paths"""
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| 15 |
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self.model_path = model_path
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| 16 |
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self.adapter_path = adapter_path
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| 17 |
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self.model = None
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| 18 |
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self.tokenizer = None
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| 19 |
+
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| 20 |
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print("π TOEFL Independent Speaking Judge")
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| 21 |
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print("="*50)
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| 22 |
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print("Loading model... (this may take a moment)")
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| 23 |
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| 24 |
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self.load_model()
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| 25 |
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| 26 |
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def load_model(self):
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| 27 |
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"""Load the fine-tuned model"""
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| 28 |
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try:
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| 29 |
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self.model, self.tokenizer = load(
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| 30 |
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path_or_hf_repo=self.model_path,
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| 31 |
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adapter_path=self.adapter_path
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| 32 |
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)
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| 33 |
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print("β
Model loaded successfully!")
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| 34 |
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print(f"π Model Performance: 86.1% accuracy, 0.943 correlation")
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| 35 |
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print("="*50)
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| 36 |
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except Exception as e:
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| 37 |
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print(f"β Error loading model: {e}")
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| 38 |
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print("Please check that your model and adapter paths are correct.")
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| 39 |
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sys.exit(1)
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| 40 |
+
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| 41 |
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def create_prompt(self, question, answer):
|
| 42 |
+
"""Create the evaluation prompt"""
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| 43 |
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system_prompt = """You are an expert TOEFL iBT Independent Speaking evaluator. Your task is to score student responses on a scale of 0-4 based on the official TOEFL Independent Speaking rubric.
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| 44 |
+
|
| 45 |
+
Scoring Criteria:
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| 46 |
+
- Score 4: Fulfills task demands with sustained, coherent discourse. Well-paced delivery, effective grammar/vocabulary, well-developed and coherent ideas.
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| 47 |
+
- Score 3: Addresses task appropriately but may lack full development. Generally clear speech with some fluency, fairly effective language use, mostly coherent with some limitations.
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| 48 |
+
- Score 2: Addresses task but limited development. Intelligible speech requiring listener effort, limited grammar/vocabulary range, basic ideas with limited elaboration.
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| 49 |
+
- Score 1: Very limited content/coherence, largely unintelligible speech, severely limited language control, lacks substance beyond basic ideas.
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| 50 |
+
- Score 0: No attempt or unrelated to topic.
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| 51 |
+
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| 52 |
+
Provide your score and a brief explanation focusing on delivery, language use, and topic development."""
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| 53 |
+
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| 54 |
+
prompt = f"""<|begin_of_text|><|start_header_id|>system<|end_header_id|>
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| 55 |
+
{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>
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| 56 |
+
Please evaluate this TOEFL Independent Speaking response:
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| 57 |
+
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| 58 |
+
Question: {question}
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| 59 |
+
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| 60 |
+
Student Response: {answer}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
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| 61 |
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"""
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| 62 |
+
return prompt
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| 63 |
+
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| 64 |
+
def extract_score(self, response):
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| 65 |
+
"""Extract numerical score from response"""
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| 66 |
+
score_match = re.search(r'Score:\s*(\d+)', response)
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| 67 |
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return int(score_match.group(1)) if score_match else None
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| 68 |
+
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| 69 |
+
def evaluate(self, question, answer):
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| 70 |
+
"""Evaluate a TOEFL response"""
|
| 71 |
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print("π€ Evaluating response...")
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| 72 |
+
|
| 73 |
+
try:
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| 74 |
+
prompt = self.create_prompt(question, answer)
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| 75 |
+
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| 76 |
+
response = generate(
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| 77 |
+
self.model,
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| 78 |
+
self.tokenizer,
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| 79 |
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prompt=prompt,
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| 80 |
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max_tokens=400
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| 81 |
+
)
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| 82 |
+
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| 83 |
+
score = self.extract_score(response)
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| 84 |
+
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| 85 |
+
return {
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| 86 |
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'score': score,
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| 87 |
+
'response': response,
|
| 88 |
+
'success': True
|
| 89 |
+
}
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| 90 |
+
|
| 91 |
+
except Exception as e:
|
| 92 |
+
return {
|
| 93 |
+
'score': None,
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| 94 |
+
'response': f"Error: {e}",
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| 95 |
+
'success': False
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| 96 |
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}
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| 97 |
+
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| 98 |
+
def print_result(self, question, answer, result):
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| 99 |
+
"""Print evaluation results in a nice format"""
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| 100 |
+
print("\n" + "="*60)
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| 101 |
+
print("π EVALUATION RESULTS")
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| 102 |
+
print("="*60)
|
| 103 |
+
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| 104 |
+
print(f"\n㪠Question:")
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| 105 |
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print(f"{question}")
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| 106 |
+
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| 107 |
+
print(f"\nπ£οΈ Student Response:")
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| 108 |
+
print(f"{answer}")
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| 109 |
+
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| 110 |
+
if result['success'] and result['score'] is not None:
|
| 111 |
+
score = result['score']
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| 112 |
+
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| 113 |
+
# Score with emoji
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| 114 |
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if score == 4:
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| 115 |
+
print(f"\nπ SCORE: {score}/4 (Excellent)")
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| 116 |
+
elif score == 3:
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| 117 |
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print(f"\nβ
SCORE: {score}/4 (Good)")
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| 118 |
+
elif score == 2:
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| 119 |
+
print(f"\nβ οΈ SCORE: {score}/4 (Limited)")
|
| 120 |
+
elif score == 1:
|
| 121 |
+
print(f"\nβ SCORE: {score}/4 (Very Limited)")
|
| 122 |
+
else:
|
| 123 |
+
print(f"\nπ SCORE: {score}/4 (No Response)")
|
| 124 |
+
|
| 125 |
+
print(f"\nπ Detailed Feedback:")
|
| 126 |
+
print(f"{result['response']}")
|
| 127 |
+
|
| 128 |
+
else:
|
| 129 |
+
print(f"\nβ Evaluation failed:")
|
| 130 |
+
print(f"{result['response']}")
|
| 131 |
+
|
| 132 |
+
print("\n" + "="*60)
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| 133 |
+
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| 134 |
+
def interactive_mode(self):
|
| 135 |
+
"""Run in interactive mode"""
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| 136 |
+
print("\nπ― Interactive Mode")
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| 137 |
+
print("Enter 'quit' or 'exit' to stop, 'help' for assistance")
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| 138 |
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print("-" * 50)
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| 139 |
+
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| 140 |
+
while True:
|
| 141 |
+
try:
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| 142 |
+
# Get question
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| 143 |
+
print("\nπ Enter the TOEFL Speaking question:")
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| 144 |
+
question = input("> ").strip()
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| 145 |
+
|
| 146 |
+
if question.lower() in ['quit', 'exit', 'q']:
|
| 147 |
+
print("π Goodbye!")
|
| 148 |
+
break
|
| 149 |
+
elif question.lower() == 'help':
|
| 150 |
+
self.show_help()
|
| 151 |
+
continue
|
| 152 |
+
elif not question:
|
| 153 |
+
print("β οΈ Please enter a question.")
|
| 154 |
+
continue
|
| 155 |
+
|
| 156 |
+
# Get student response
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| 157 |
+
print("\nπ£οΈ Enter the student's response:")
|
| 158 |
+
answer = input("> ").strip()
|
| 159 |
+
|
| 160 |
+
if not answer:
|
| 161 |
+
print("β οΈ Please enter a response.")
|
| 162 |
+
continue
|
| 163 |
+
|
| 164 |
+
# Evaluate
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| 165 |
+
result = self.evaluate(question, answer)
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| 166 |
+
self.print_result(question, answer, result)
|
| 167 |
+
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| 168 |
+
# Ask if they want to continue
|
| 169 |
+
print("\nπ Evaluate another response? (y/n)")
|
| 170 |
+
continue_choice = input("> ").strip().lower()
|
| 171 |
+
if continue_choice in ['n', 'no']:
|
| 172 |
+
print("π Goodbye!")
|
| 173 |
+
break
|
| 174 |
+
|
| 175 |
+
except KeyboardInterrupt:
|
| 176 |
+
print("\nπ Goodbye!")
|
| 177 |
+
break
|
| 178 |
+
except Exception as e:
|
| 179 |
+
print(f"β Error: {e}")
|
| 180 |
+
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| 181 |
+
def show_help(self):
|
| 182 |
+
"""Show help information"""
|
| 183 |
+
print("\nπ HELP - TOEFL Independent Speaking Judge")
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| 184 |
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print("="*50)
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| 185 |
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print("This tool evaluates TOEFL Independent Speaking responses on a 0-4 scale.")
|
| 186 |
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print("\nScoring Rubric:")
|
| 187 |
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print("π Score 4: Excellent - Sustained, coherent discourse")
|
| 188 |
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print("β
Score 3: Good - Mostly coherent with minor limitations")
|
| 189 |
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print("β οΈ Score 2: Limited - Basic ideas with limited development")
|
| 190 |
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print("β Score 1: Very Limited - Major language/content issues")
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| 191 |
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print("π Score 0: No attempt or unrelated to topic")
|
| 192 |
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print("\nTips:")
|
| 193 |
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print("β’ Enter the exact question as given in TOEFL")
|
| 194 |
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print("β’ Provide the student's transcribed spoken response")
|
| 195 |
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print("β’ The model evaluates based on language use, delivery, and topic development")
|
| 196 |
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print("β’ Type 'quit' or 'exit' to stop")
|
| 197 |
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print("="*50)
|
| 198 |
+
|
| 199 |
+
def main():
|
| 200 |
+
"""Main function with command line argument support"""
|
| 201 |
+
parser = argparse.ArgumentParser(description='TOEFL Independent Speaking Judge')
|
| 202 |
+
parser.add_argument('--model', default='mlx-community/Llama-3.2-3B-Instruct-4bit',
|
| 203 |
+
help='Model path')
|
| 204 |
+
parser.add_argument('--adapter', default='toefl_judge_adapter',
|
| 205 |
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help='Adapter path')
|
| 206 |
+
parser.add_argument('--question', '-q', help='TOEFL question')
|
| 207 |
+
parser.add_argument('--answer', '-a', help='Student response')
|
| 208 |
+
parser.add_argument('--interactive', '-i', action='store_true',
|
| 209 |
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help='Run in interactive mode')
|
| 210 |
+
|
| 211 |
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args = parser.parse_args()
|
| 212 |
+
|
| 213 |
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# Initialize judge
|
| 214 |
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judge = SimpleTOEFLJudge(model_path=args.model, adapter_path=args.adapter)
|
| 215 |
+
|
| 216 |
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# Command line mode
|
| 217 |
+
if args.question and args.answer:
|
| 218 |
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result = judge.evaluate(args.question, args.answer)
|
| 219 |
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judge.print_result(args.question, args.answer, result)
|
| 220 |
+
|
| 221 |
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# Interactive mode (default)
|
| 222 |
+
else:
|
| 223 |
+
judge.interactive_mode()
|
| 224 |
+
|
| 225 |
+
# Sample questions for testing
|
| 226 |
+
SAMPLE_QUESTIONS = [
|
| 227 |
+
"Do you agree or disagree with the following statement: it is better to work in teams than to work alone? Use specific examples to support your answer.",
|
| 228 |
+
"Some people prefer to live in small towns, while others prefer big cities. Which do you prefer and why?",
|
| 229 |
+
"Do you think students should be required to wear uniforms in school? Explain your opinion with specific reasons.",
|
| 230 |
+
"Would you rather have a job that pays well but is stressful, or a job that pays less but is enjoyable? Explain your choice.",
|
| 231 |
+
"Some people believe that technology has made our lives easier, while others think it has made life more complicated. What is your opinion?"
|
| 232 |
+
]
|
| 233 |
+
|
| 234 |
+
if __name__ == "__main__":
|
| 235 |
+
print("π Quick Test Mode")
|
| 236 |
+
print("Want to try a sample question? Here are some examples:")
|
| 237 |
+
for i, q in enumerate(SAMPLE_QUESTIONS[:3], 1):
|
| 238 |
+
print(f"{i}. {q}")
|
| 239 |
+
print("\nStarting TOEFL Judge...")
|
| 240 |
+
print("-" * 70)
|
| 241 |
+
|
| 242 |
+
main()
|