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import gradio as gr
import torch
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import logging
import json
import re
from typing import List, Dict
from datetime import datetime
# Setup logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)
# Model configuration
MODEL_NAME = "wizcodes12/snaxfix-model"
FALLBACK_MODEL = "google/flan-t5-small" # Fallback model if main model fails
SUPPORTED_LANGUAGES = [
"python", "javascript", "java", "c", "cpp", "csharp", "rust",
"php", "html", "css", "sql"
]
MAX_LENGTH = 512
# Example code snippets with errors for testing
EXAMPLE_SNIPPETS = {
"python": {
"broken": 'def add(a b):\n return a + b',
"description": "Missing comma in function parameters"
},
"javascript": {
"broken": 'function greet() {\n console.log("Hello"\n}',
"description": "Missing closing parenthesis and brace"
},
"java": {
"broken": 'public class Hello {\n public static void main(String[] args) {\n System.out.println("Hello World")\n }\n}',
"description": "Missing semicolon"
},
"c": {
"broken": '#include <stdio.h>\n\nint main() {\n printf("Hello World")\n return 0;\n}',
"description": "Missing semicolon"
},
"cpp": {
"broken": '#include <iostream>\n\nint main() {\n std::cout << "Hello World" << std::endl\n return 0;\n}',
"description": "Missing semicolon"
},
"csharp": {
"broken": 'class Program {\n static void Main(string[] args) {\n Console.WriteLine("Hello World")\n }\n}',
"description": "Missing semicolon"
},
"rust": {
"broken": 'fn main() {\n println!("Hello World")\n}',
"description": "Missing semicolon"
},
"php": {
"broken": '<?php\n echo "Hello World"\n?>',
"description": "Missing semicolon"
},
"html": {
"broken": '<div>\n <p>Hello World</div>\n</p>',
"description": "Incorrect tag nesting"
},
"css": {
"broken": 'body {\n background-color: #ffffff\n}',
"description": "Missing semicolon"
},
"sql": {
"broken": 'SELECT name age FROM users WHERE age > 18',
"description": "Missing comma in SELECT clause"
}
}
class SyntaxFixerApp:
def __init__(self):
logger.info("Initializing SyntaxFixerApp...")
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
logger.info(f"Using device: {self.device}")
# Load model and tokenizer with fallback
self.model_name_used = None
try:
logger.info(f"Attempting to load primary model: {MODEL_NAME}")
self.tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
self.model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME)
self.model_name_used = MODEL_NAME
logger.info("Primary model and tokenizer loaded successfully")
except Exception as e:
logger.warning(f"Failed to load primary model: {e}")
logger.info(f"Attempting to load fallback model: {FALLBACK_MODEL}")
try:
self.tokenizer = AutoTokenizer.from_pretrained(FALLBACK_MODEL)
self.model = AutoModelForSeq2SeqLM.from_pretrained(FALLBACK_MODEL)
self.model_name_used = FALLBACK_MODEL
logger.info("Fallback model and tokenizer loaded successfully")
except Exception as fallback_error:
logger.error(f"Failed to load fallback model: {fallback_error}")
raise Exception(f"Failed to load both primary and fallback models. Primary: {e}, Fallback: {fallback_error}")
self.model.to(self.device)
self.model.eval()
logger.info(f"Using model: {self.model_name_used}")
# Initialize history
self.history = []
def fix_syntax(self, broken_code: str, language: str) -> str:
"""Fix syntax errors in the provided code."""
if not broken_code.strip():
return "Error: Please enter code to fix."
if language not in SUPPORTED_LANGUAGES:
return f"Error: Language '{language}' is not supported. Choose from: {', '.join(SUPPORTED_LANGUAGES)}"
try:
# Prepare input - adjust prompt based on model being used
if self.model_name_used == FALLBACK_MODEL:
# Simplified prompt for fallback model
input_text = f"Fix the syntax errors in this {language} code: {broken_code}"
else:
# Original prompt for specialized model
input_text = f"<{language.upper()}> Fix the syntax errors in this {language} code: {broken_code}"
inputs = self.tokenizer(
input_text,
max_length=MAX_LENGTH,
truncation=True,
padding=True,
return_tensors="pt"
).to(self.device)
# Generate fixed code
with torch.no_grad():
outputs = self.model.generate(
**inputs,
max_length=MAX_LENGTH,
num_beams=4,
early_stopping=True,
do_sample=False,
temperature=0.7,
pad_token_id=self.tokenizer.pad_token_id,
use_cache=True
)
fixed_code = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
# Save to history
self.history.append({
"timestamp": datetime.now().isoformat(),
"language": language,
"broken_code": broken_code,
"fixed_code": fixed_code
})
return fixed_code
except Exception as e:
logger.error(f"Error fixing code: {e}")
return f"Error: Failed to fix code - {str(e)}"
def load_example(self, language: str) -> str:
"""Load example broken code for the selected language."""
return EXAMPLE_SNIPPETS.get(language, {}).get("broken", "No example available for this language.")
def get_history(self) -> str:
"""Return formatted history of fixes."""
if not self.history:
return "No history available."
history_text = "=== Fix History ===\n"
for entry in self.history[-5:]: # Show only last 5 entries to avoid too much text
history_text += f"Timestamp: {entry['timestamp']}\n"
history_text += f"Language: {entry['language']}\n"
history_text += f"Broken Code:\n{entry['broken_code']}\n"
history_text += f"Fixed Code:\n{entry['fixed_code']}\n"
history_text += "-" * 50 + "\n"
return history_text
def clear_history(self) -> str:
"""Clear the history of fixes."""
self.history = []
return "History cleared."
def create_gradio_interface():
"""Create and return the Gradio interface."""
app = SyntaxFixerApp()
with gr.Blocks(theme=gr.themes.Soft()) as demo:
gr.Markdown("# SnaxFix: Advanced Syntax Error Fixer")
gr.Markdown("Fix syntax errors in code across multiple programming languages using AI models.")
# Show which model is being used
gr.Markdown(f"**Currently using model:** `{app.model_name_used}`")
with gr.Row():
with gr.Column(scale=2):
language_dropdown = gr.Dropdown(
choices=SUPPORTED_LANGUAGES,
label="Select Programming Language",
value="python"
)
code_input = gr.Code(
label="Enter Code with Syntax Errors",
lines=10,
language="python"
)
with gr.Row():
fix_button = gr.Button("Fix Syntax", variant="primary")
example_button = gr.Button("Load Example", variant="secondary")
clear_button = gr.Button("Clear Input", variant="secondary")
with gr.Column(scale=2):
code_output = gr.Code(
label="Fixed Code",
lines=10,
language="python"
)
with gr.Accordion("History of Fixes", open=False):
history_output = gr.Textbox(label="Fix History", lines=10)
with gr.Row():
refresh_history_button = gr.Button("Refresh History")
clear_history_button = gr.Button("Clear History")
with gr.Accordion("About & License", open=False):
gr.Markdown("""
**About SnaxFix**
SnaxFix is an AI-powered tool for fixing syntax errors in multiple programming languages, built with `google/flan-t5-base` and fine-tuned by wizcodes12.
**MIT License**
This project is licensed under the MIT License. See the [LICENSE](https://github.com/wizcodes12/snaxfix-model/blob/main/LICENSE) file for details.
""")
# Event handlers
def update_code_language(language):
return gr.update(language=language)
def fix_and_update_history(code, language):
"""Fix code and return both fixed code and updated history."""
fixed = app.fix_syntax(code, language)
history = app.get_history()
return fixed, history
# Main fix button - fixes code and updates history
fix_button.click(
fn=fix_and_update_history,
inputs=[code_input, language_dropdown],
outputs=[code_output, history_output]
)
# Load example button
example_button.click(
fn=app.load_example,
inputs=language_dropdown,
outputs=code_input
)
# Clear input button
clear_button.click(
fn=lambda: "",
inputs=None,
outputs=code_input
)
# Language dropdown change - updates code editor language
language_dropdown.change(
fn=update_code_language,
inputs=language_dropdown,
outputs=code_input
)
# Refresh history button
refresh_history_button.click(
fn=app.get_history,
inputs=None,
outputs=history_output
)
# Clear history button
clear_history_button.click(
fn=app.clear_history,
inputs=None,
outputs=history_output
)
return demo
if __name__ == "__main__":
logger.info("Starting Gradio application...")
demo = create_gradio_interface()
try:
demo.launch()
except Exception as e:
logger.error(f"Failed to launch Gradio app: {e}")
raise |