import gradio as gr import subprocess import os import javalang from transformers import pipeline import shutil # Função para decompilar o APK def decompile_apk(apk_path): subprocess.run(["apktool", "d", apk_path, "-o", "decompiled_apk"]) # Função para analisar o código def analyze_code(): java_files = [] smali_files = [] for root, dirs, files in os.walk("decompiled_apk"): for file in files: if file.endswith(".java"): with open(os.path.join(root, file), "r") as f: java_files.append(f.read()) elif file.endswith(".smali"): with open(os.path.join(root, file), "r") as f: smali_files.append(f.read()) return java_files, smali_files # Função para modificar o código def modify_code(smali_code, initial_score): modified_smali_code = [] for code in smali_code: modified_code = code.replace("initial_score = 0", f"initial_score = {initial_score}") modified_smali_code.append(modified_code) return modified_smali_code # Função para compilar o APK def compile_apk(modified_smali_code): for i, code in enumerate(modified_smali_code): with open(f"decompiled_apk/smali/ModifiedClass{i}.smali", "w") as f: f.write(code) subprocess.run(["apktool", "b", "decompiled_apk", "-o", "modified_apk.apk"]) return "modified_apk.apk" # Função para o chat com a IA def chat_with_ai(user_message): chatbot = pipeline("conversational") response = chatbot(user_message) return response[0]["generated_text"] # Função principal para processar o APK def process_apk(apk_file, initial_score): apk_path = apk_file.name decompile_apk(apk_path) java_code, smali_code = analyze_code() modified_smali_code = modify_code(smali_code, initial_score) modified_apk_path = compile_apk(modified_smali_code) return modified_apk_path # Interface Gradio def main(): with gr.Blocks() as demo: with gr.Row(): with gr.Column(): apk_input = gr.File(label="Upload APK") initial_score = gr.Textbox(label="Initial Score") process_button = gr.Button("Process APK") process_button.click(fn=process_apk, inputs=[apk_input, initial_score], outputs="file") with gr.Column(): chat_input = gr.Textbox(label="Chat with AI") chat_output = gr.Textbox(label="AI Response") chat_button = gr.Button("Send") chat_button.click(fn=chat_with_ai, inputs=chat_input, outputs=chat_output) demo.launch() if __name__ == "__main__": main()