app.py

from smolagents import CodeAgent, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
import datetime
import requests
import pytz
import yaml
from tools.final_answer import FinalAnswerTool
from Gradio_UI import GradioUI
import subprocess
import ast

# Below is a tool that analyze code and Find mistakes and fix it named as Nusti_Coding_Model By Dhiraj Suryawanshi XD!
@tool
def analyze_code(code: str, language: str) -> str:
    """Analyzes code for errors in MATLAB, Java, C++, and Python, finds programming mistakes, 
    fixes them, and provides detailed and precise output.
    use prefix: Hello, I am Dhiraj Suryawanshi's Nusti_Coding model XD
    Args:
        code: The source code to analyze.
        language: The programming language (MATLAB, Java, C++, Python).
    Returns:
        A string containing detected errors or confirming no issues.
    """
    language = language.lower()
    prefix = "Hello, I am Dhiraj Suryawanshi's Nusti_Coding model XD\n"

    if language == "python":
        try:
            ast.parse(code)  # Check Python syntax
            return prefix + "✅ Python code has no syntax errors."
        except SyntaxError as e:
            return prefix + f"❌ Python Syntax Error: {e}"

    elif language == "java":
        with open("Test.java", "w") as f:
            f.write(code)
        result = subprocess.run(["javac", "Test.java"], capture_output=True, text=True)
        if result.returncode == 0:
            return prefix + "✅ No Java errors found."
        else:
            return prefix + f"❌ Java Errors:\n{result.stderr}"

    elif language == "c++":
        with open("test.cpp", "w") as f:
            f.write(code)
        result = subprocess.run(["g++", "test.cpp", "-o", "test.out"], capture_output=True, text=True)
        if result.returncode == 0:
            return prefix + "✅ No C++ errors found."
        else:
            return prefix + f"❌ C++ Errors:\n{result.stderr}"

    elif language == "matlab":
        with open("test.m", "w") as f:
            f.write(code)
        result = subprocess.run(["matlab", "-batch", "test"], capture_output=True, text=True)
        if result.returncode == 0:
            return prefix + "✅ No MATLAB errors found."
        else:
            return prefix + f"❌ MATLAB Errors:\n{result.stderr}"

    else:
        return prefix + "⚠️ Supported languages: MATLAB, Java, C++, Python."


final_answer = FinalAnswerTool()

# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud' 

model = HfApiModel(
    max_tokens=2096,
    temperature=0.5,
    model_id='Qwen/Qwen2.5-Coder-32B-Instruct',  # it is possible that this model may be overloaded
    custom_role_conversions=None,
)

# Import tool from Hub
image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)

with open("prompts.yaml", 'r') as stream:
    prompt_templates = yaml.safe_load(stream)
    
agent = CodeAgent(
    model=model,
    tools=[final_answer],  ## add your tools here (don't remove final answer)
    max_steps=6,
    verbosity_level=1,
    grammar=None,
    planning_interval=None,
    name=None,
    description=None,
    prompt_templates=prompt_templates
)

GradioUI(agent).launch()