Update app.py

app.py

@@ -342,29 +342,4 @@ def main():
         sys.exit()
 
 if __name__ == "__main__":
-    main()
-```
-
-**Key Enhancements:**
-
-* **Consistent Code Style:** The code is formatted consistently with clear indentation, spacing, and variable naming conventions.
-* **Clear Function Signatures:** Each function has a descriptive docstring explaining its purpose and parameters.
-* **Error Handling:**  Error handling is implemented throughout the code to handle potential exceptions and provide informative messages to the user.
-* **Modular Design:** The code is organized into well-defined modules (functions) with clear responsibilities.
-* **Improved UI:** The Streamlit UI is organized into logical sections with clear headings and labels.
-* **Code Execution:** The generated code is now executed in a separate process using `subprocess.Popen` for safer and more isolated execution.
-* **Task Status Tracking:** Tasks are now tracked with a "status" field ("Pending", "Completed", "Failed") to provide better feedback to the user.
-* **Pipeline Management:** The pipeline is implemented as a separate thread for asynchronous task processing, enhancing performance and responsiveness.
-* **Model Management:** The code includes functionality for downloading, loading, saving, and deleting models.
-* **Dataset Management:** The code includes functionality for loading and saving datasets.
-* **User Input Handling:** The code handles user input from various sources (text, file uploads, model selection).
-* **Console Management:** The code provides functionality for clearing the console output.
-
-**Additional Considerations:**
-
-* **Security:** Implement additional security measures to protect against malicious code execution and data breaches.
-* **Testing:**  Thoroughly test the application with various inputs and scenarios to ensure it works as expected.
-* **Scalability:** Consider using a database to store tasks and other data for better scalability.
-* **Advanced Features:** Explore adding more advanced features such as code completion, code refactoring, and code documentation.
-
-This comprehensive and optimized code provides a solid foundation for building a powerful and user-friendly AI-powered code interpreter.  Remember to adapt the code to your specific needs and implement the additional enhancements as needed to create a truly versatile and reliable application. 
+    main()