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Adding app file
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app.py
ADDED
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| 1 |
+
# Gradio UI
|
| 2 |
+
import re
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| 3 |
+
import gradio as gr
|
| 4 |
+
import tempfile
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| 5 |
+
import os
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| 6 |
+
from openai import OpenAI
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| 7 |
+
from dotenv import load_dotenv
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| 8 |
+
import subprocess
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| 9 |
+
import shutil
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| 10 |
+
from timeit import default_timer as timer
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| 11 |
+
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| 12 |
+
# Load environment variables
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| 13 |
+
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| 14 |
+
load_dotenv()
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| 15 |
+
os.environ['OPENAI_API_KEY'] = os.getenv('OPENAI_API_KEY')
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| 16 |
+
OPENAI_MODEL = "gpt-4o-mini"
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| 17 |
+
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| 18 |
+
# TranslateCode and ExecuteCode class implementations
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| 19 |
+
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| 20 |
+
class TranslateCode:
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| 21 |
+
def __init__(self, openai_client, model):
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| 22 |
+
self.openai = openai_client
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| 23 |
+
self.model = model
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| 24 |
+
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| 25 |
+
def user_prompt_for(self, python, lang_select):
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| 26 |
+
user_prompt = f"Rewrite this Python code in {lang_select} with the fastest possible implementation that produces identical output in the least time. "
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| 27 |
+
user_prompt += f"Respond only with {lang_select} code; do not explain your work; only return {lang_select} code. "
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| 28 |
+
user_prompt += "Pay attention to number types to ensure no int overflows. Remember to include all necessary dependencies and libraries.\n\n"
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| 29 |
+
user_prompt += "If translating to Rust, make sure to include the necessary packages and crates."
|
| 30 |
+
user_prompt += python
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| 31 |
+
return user_prompt
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| 32 |
+
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| 33 |
+
def messages_for(self, python, lang_select):
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| 34 |
+
# System message for OpenAI API
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| 35 |
+
system_message = "You are an assistant that reimplements Python code in high performance code for a Windows PC. "
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| 36 |
+
system_message += "Respond only with code; do not provide any explanations. "
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| 37 |
+
system_message += "The response needs to produce an identical output in the fastest possible time."
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| 38 |
+
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| 39 |
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return [
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| 40 |
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{"role": "system", "content": system_message},
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| 41 |
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{"role": "user", "content": self.user_prompt_for(python, lang_select)}
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| 42 |
+
]
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| 43 |
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| 44 |
+
def translate_code(self, code_file, lang_select):
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| 45 |
+
stream = self.openai.chat.completions.create(model=self.model, messages=self.messages_for(code_file, lang_select), stream=True)
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| 46 |
+
code = ""
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| 47 |
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for chunk in stream:
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| 48 |
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fragment = chunk.choices[0].delta.content or ""
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| 49 |
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code += fragment
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| 50 |
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pattern = r"```(c|cpp|rust|javascript)\n"
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| 51 |
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code = re.sub(pattern, "", code).replace("```", "")
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| 52 |
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return code
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| 53 |
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| 54 |
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| 55 |
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class ExecuteCode:
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| 56 |
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def __init__(self, translator):
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| 57 |
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self.translator = translator
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| 58 |
+
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| 59 |
+
def extract_dependencies(self, code):
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| 60 |
+
try:
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| 61 |
+
dependency_pattern = r"""
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| 62 |
+
(?:use\s+(?!std::)[a-zA-Z_][a-zA-Z0-9_]*::|extern\s+crate\s+(?!std)[a-zA-Z_][a-zA-Z0-9_]*);?
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| 63 |
+
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| 64 |
+
\#include\s*<([a-zA-Z_][a-zA-Z0-9_/.]*)>
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| 65 |
+
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| 66 |
+
(?:import\s+.*\s+from\s+['"]([a-zA-Z_][a-zA-Z0-9_/.]*)['"]
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| 67 |
+
|require\s*\(\s*['"]([a-zA-Z_][a-zA-Z0-9_/.]*)['"]\s*\))
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| 68 |
+
"""
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| 69 |
+
matches = re.findall(dependency_pattern, code, re.VERBOSE)
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| 70 |
+
dependencies = [match for match in matches if any(match)]
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| 71 |
+
return dependencies if matches else []
|
| 72 |
+
except re.error as e:
|
| 73 |
+
raise ValueError(f"Regex error while extracting dependencies: {e}")
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| 74 |
+
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| 75 |
+
def execute_code(self, code_file, lang_select):
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| 76 |
+
if lang_select == "Rust":
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| 77 |
+
rust_code = self.translator.translate_code(code_file, lang_select)
|
| 78 |
+
try:
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| 79 |
+
dependencies = self.extract_dependencies(rust_code)
|
| 80 |
+
temp_dir = tempfile.mkdtemp()
|
| 81 |
+
src_dir = os.path.join(temp_dir, "src")
|
| 82 |
+
os.makedirs(src_dir, exist_ok=True)
|
| 83 |
+
cargo_toml = f"""
|
| 84 |
+
[package]
|
| 85 |
+
name = "temp_project"
|
| 86 |
+
version = "0.1.0"
|
| 87 |
+
edition = "2021"
|
| 88 |
+
|
| 89 |
+
[dependencies]
|
| 90 |
+
"""
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| 91 |
+
for dependency in dependencies:
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| 92 |
+
crate = dependency[0]
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| 93 |
+
cargo_toml += f"{crate} = \"*\"\n"
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| 94 |
+
with open(os.path.join(temp_dir, "Cargo.toml"), "w") as f:
|
| 95 |
+
f.write(cargo_toml)
|
| 96 |
+
main_rs_path = os.path.join(src_dir, "main.rs")
|
| 97 |
+
with open(main_rs_path, "w", encoding="utf-8") as f:
|
| 98 |
+
f.write(rust_code)
|
| 99 |
+
cargo_build = subprocess.run(["cargo", "build", "--release"],
|
| 100 |
+
cwd=temp_dir,
|
| 101 |
+
stdout=subprocess.PIPE,
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| 102 |
+
stderr=subprocess.PIPE,
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| 103 |
+
text=True)
|
| 104 |
+
if cargo_build.returncode != 0:
|
| 105 |
+
return f"Cargo build failed:\n{cargo_build.stderr}", 0
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| 106 |
+
executable_path = os.path.join(temp_dir, "target", "release", "temp_project")
|
| 107 |
+
start_time = timer()
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| 108 |
+
run_result = subprocess.run([executable_path],
|
| 109 |
+
stdout=subprocess.PIPE,
|
| 110 |
+
stderr=subprocess.PIPE,
|
| 111 |
+
text=True)
|
| 112 |
+
end_time = timer()
|
| 113 |
+
execution_time = end_time - start_time
|
| 114 |
+
if run_result.returncode != 0:
|
| 115 |
+
print(f"Execution failed: {run_result.stderr}")
|
| 116 |
+
return run_result.stdout, execution_time
|
| 117 |
+
finally:
|
| 118 |
+
if temp_dir:
|
| 119 |
+
shutil.rmtree(temp_dir, ignore_errors=True)
|
| 120 |
+
elif lang_select in ["C", "C++"]:
|
| 121 |
+
code = self.translator.translate_code(code_file, lang_select)
|
| 122 |
+
with tempfile.TemporaryDirectory() as temp_dir:
|
| 123 |
+
file_extension = "c" if lang_select == "C" else "cpp"
|
| 124 |
+
file_path = os.path.join(temp_dir, f"translated_code.{file_extension}")
|
| 125 |
+
with open(file_path, "w") as f:
|
| 126 |
+
f.write(code)
|
| 127 |
+
executable_path = os.path.join(temp_dir, "translated_code")
|
| 128 |
+
compiler = "gcc" if lang_select == "C" else "g++"
|
| 129 |
+
compile_result = subprocess.run([compiler, file_path, "-o", executable_path],
|
| 130 |
+
stdout=subprocess.PIPE,
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| 131 |
+
stderr=subprocess.PIPE,
|
| 132 |
+
text=True)
|
| 133 |
+
if compile_result.returncode != 0:
|
| 134 |
+
return f"Compilation failed:\n{compile_result.stderr}", 0
|
| 135 |
+
start_time = timer()
|
| 136 |
+
run_result = subprocess.run([executable_path],
|
| 137 |
+
stdout=subprocess.PIPE,
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| 138 |
+
stderr=subprocess.PIPE,
|
| 139 |
+
text=True)
|
| 140 |
+
end_time = timer()
|
| 141 |
+
execution_time = end_time - start_time
|
| 142 |
+
return run_result.stdout, execution_time
|
| 143 |
+
elif lang_select == "Javascript":
|
| 144 |
+
js_code = self.translator.translate_code(code_file, lang_select)
|
| 145 |
+
with tempfile.NamedTemporaryFile(suffix='.js', delete=False) as js_file:
|
| 146 |
+
js_file.write(js_code.encode("utf-8"))
|
| 147 |
+
js_file.flush()
|
| 148 |
+
js_file_path = js_file.name
|
| 149 |
+
try:
|
| 150 |
+
start_time = timer()
|
| 151 |
+
run_result = subprocess.run(["node", js_file_path],
|
| 152 |
+
stdout=subprocess.PIPE,
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| 153 |
+
stderr=subprocess.PIPE,
|
| 154 |
+
text=True)
|
| 155 |
+
end_time = timer()
|
| 156 |
+
execution_time = end_time - start_time
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| 157 |
+
return run_result.stdout, execution_time
|
| 158 |
+
finally:
|
| 159 |
+
os.remove(js_file_path)
|
| 160 |
+
else:
|
| 161 |
+
return "Language not supported", 0
|
| 162 |
+
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| 163 |
+
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| 164 |
+
def process_code(python_code: str, target_language: str):
|
| 165 |
+
"""Process the uploaded Python code and return both original and translated outputs"""
|
| 166 |
+
# Initialize components
|
| 167 |
+
openai_client = OpenAI()
|
| 168 |
+
translator = TranslateCode(openai_client, OPENAI_MODEL)
|
| 169 |
+
executor = ExecuteCode(translator)
|
| 170 |
+
|
| 171 |
+
# Run Python code
|
| 172 |
+
python_output = ""
|
| 173 |
+
python_time = 0
|
| 174 |
+
try:
|
| 175 |
+
with tempfile.NamedTemporaryFile(delete=False, suffix=".py") as temp_py_file:
|
| 176 |
+
temp_py_file.write(python_code.encode('utf-8'))
|
| 177 |
+
temp_py_file_path = temp_py_file.name
|
| 178 |
+
|
| 179 |
+
start_time = timer()
|
| 180 |
+
result = subprocess.run(["python", temp_py_file_path],
|
| 181 |
+
capture_output=True,
|
| 182 |
+
text=True)
|
| 183 |
+
end_time = timer()
|
| 184 |
+
|
| 185 |
+
python_output = result.stdout if result.returncode == 0 else result.stderr
|
| 186 |
+
python_time = end_time - start_time
|
| 187 |
+
except Exception as e:
|
| 188 |
+
python_output = str(e)
|
| 189 |
+
finally:
|
| 190 |
+
if 'temp_py_file_path' in locals() and os.path.exists(temp_py_file_path):
|
| 191 |
+
os.remove(temp_py_file_path)
|
| 192 |
+
|
| 193 |
+
# Translate and run the code
|
| 194 |
+
translated_code = translator.translate_code(python_code, target_language)
|
| 195 |
+
translated_output, translated_time = executor.execute_code(translated_code, target_language)
|
| 196 |
+
|
| 197 |
+
# Format the outputs
|
| 198 |
+
python_output = python_output.replace("Â", "")
|
| 199 |
+
translated_output = translated_output.replace("Â", "")
|
| 200 |
+
python_result = f"Output:\n{python_output}\nExecution time: {python_time:.4f} seconds"
|
| 201 |
+
translated_result = f"Output:\n{translated_output}\nExecution time: {translated_time:.4f} seconds"
|
| 202 |
+
|
| 203 |
+
return python_code, translated_code, python_result, translated_result
|
| 204 |
+
|
| 205 |
+
def create_gradio_interface():
|
| 206 |
+
with gr.Blocks(title="SyntaxShift: Code Translator") as interface:
|
| 207 |
+
gr.Markdown("# SyntaxShift: Code Translator")
|
| 208 |
+
gr.Markdown("It's like Google Translate, but for code. Upload a Python file or paste Python code to translate it to C, C++, Rust, or Javascript, and run the code.")
|
| 209 |
+
|
| 210 |
+
with gr.Row():
|
| 211 |
+
with gr.Column():
|
| 212 |
+
python_code = gr.Code(
|
| 213 |
+
label="Python Code",
|
| 214 |
+
language="python",
|
| 215 |
+
lines=20
|
| 216 |
+
)
|
| 217 |
+
target_language = gr.Dropdown(
|
| 218 |
+
choices=["C", "C++", "Rust", "Javascript"],
|
| 219 |
+
label="Target Language",
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| 220 |
+
value="C"
|
| 221 |
+
)
|
| 222 |
+
translate_button = gr.Button("Translate and Run")
|
| 223 |
+
|
| 224 |
+
with gr.Row():
|
| 225 |
+
with gr.Column():
|
| 226 |
+
translated_code = gr.Code(
|
| 227 |
+
label="Translated Code",
|
| 228 |
+
language="python", # This will update dynamically
|
| 229 |
+
lines=20
|
| 230 |
+
)
|
| 231 |
+
|
| 232 |
+
with gr.Row():
|
| 233 |
+
with gr.Column():
|
| 234 |
+
python_output = gr.Textbox(
|
| 235 |
+
label="Python Execution Result",
|
| 236 |
+
lines=5
|
| 237 |
+
)
|
| 238 |
+
with gr.Column():
|
| 239 |
+
translated_output = gr.Textbox(
|
| 240 |
+
label="Translated Code Execution Result",
|
| 241 |
+
lines=5
|
| 242 |
+
)
|
| 243 |
+
|
| 244 |
+
# Update language display based on selection
|
| 245 |
+
def update_language(lang):
|
| 246 |
+
lang_map = {
|
| 247 |
+
"C": "c",
|
| 248 |
+
"C++": "cpp",
|
| 249 |
+
"Rust": "rust",
|
| 250 |
+
"Javascript": "javascript"
|
| 251 |
+
}
|
| 252 |
+
return gr.Code.update(language=lang_map[lang])
|
| 253 |
+
|
| 254 |
+
target_language.change(
|
| 255 |
+
fn=update_language,
|
| 256 |
+
inputs=[target_language],
|
| 257 |
+
outputs=[translated_code]
|
| 258 |
+
)
|
| 259 |
+
|
| 260 |
+
# Main translation and execution flow
|
| 261 |
+
translate_button.click(
|
| 262 |
+
fn=process_code,
|
| 263 |
+
inputs=[python_code, target_language],
|
| 264 |
+
outputs=[python_code, translated_code, python_output, translated_output]
|
| 265 |
+
)
|
| 266 |
+
|
| 267 |
+
return interface
|
| 268 |
+
|
| 269 |
+
if __name__ == "__main__":
|
| 270 |
+
demo = create_gradio_interface()
|
| 271 |
+
demo.launch(share=True)
|