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Update app.py
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app.py
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import os
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import logging
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from flask import Flask, request, jsonify, render_template
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from dotenv import load_dotenv
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from supplemental import EnhancedAIAgent, ProjectConfig
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# Load environment variables
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load_dotenv()
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# Configure logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Initialize Flask app
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app = Flask(__name__)
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# Initialize EnhancedAIAgent
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agent = EnhancedAIAgent(
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name="WebDevMaster",
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model_name="gpt2"
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)
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config = agent.generate_project_config(project_description)
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except Exception as e:
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logger.error(f"Error generating project config: {str(e)}")
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return jsonify({"error": str(e)}), 400
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config_dict =
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config = ProjectConfig(**config_dict)
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structure = agent.create_project_structure(config)
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except Exception as e:
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logger.error(f"Error creating project structure: {str(e)}")
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return jsonify({"error": str(e)}), 400
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existing_code = request.json.get('existing_code')
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new_code = agent.implement_feature(feature_description, existing_code)
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except Exception as e:
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logger.error(f"Error implementing feature: {str(e)}")
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return jsonify({"error": str(e)}), 400
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code = request.json['code']
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review = agent.review_code(code)
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except Exception as e:
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logger.error(f"Error reviewing code: {str(e)}")
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return jsonify({"error": str(e)}), 400
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optimization_goal = request.json['optimization_goal']
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optimized_code = agent.optimize_code(code, optimization_goal)
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except Exception as e:
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logger.error(f"Error optimizing code: {str(e)}")
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return jsonify({"error": str(e)}), 400
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code = request.json['code']
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documentation = agent.generate_documentation(code)
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except Exception as e:
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logger.error(f"Error generating documentation: {str(e)}")
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return jsonify({"error": str(e)}), 400
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code = request.json['code']
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test_suggestions = agent.suggest_tests(code)
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except Exception as e:
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logger.error(f"Error suggesting tests: {str(e)}")
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return jsonify({"error": str(e)}), 400
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code = request.json['code']
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explanation = agent.explain_code(code)
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except Exception as e:
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logger.error(f"Error explaining code: {str(e)}")
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return jsonify({"error": str(e)}), 400
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code = request.json['code']
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refactoring_suggestions = agent.suggest_refactoring(code)
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except Exception as e:
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logger.error(f"Error suggesting refactoring: {str(e)}")
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return jsonify({"error": str(e)}), 400
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if __name__ == '__main__':
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app.run(debug=os.getenv('FLASK_DEBUG', 'False') == 'True', host='0.0.0.0', port=int(os.getenv('PORT', 5000)))
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import streamlit as st
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import os
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from dotenv import load_dotenv
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from supplemental import EnhancedAIAgent, ProjectConfig
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# Load environment variables
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load_dotenv()
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# Initialize EnhancedAIAgent
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agent = EnhancedAIAgent(
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name="WebDevMaster",
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model_name="gpt2"
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st.title("EnhancedAIAgent Web Development Assistant")
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st.write("""
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This is a powerful AI-driven web development assistant that can help you with various tasks such as:
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- Generating project configurations
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- Creating project structures
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- Implementing features
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- Reviewing and optimizing code
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- Generating documentation
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- Suggesting tests and refactoring improvements
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""")
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option = st.selectbox(
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"What would you like to do?",
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("Generate Project Config", "Create Project Structure", "Implement Feature",
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"Review Code", "Optimize Code", "Generate Documentation",
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"Suggest Tests", "Explain Code", "Suggest Refactoring")
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)
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if option == "Generate Project Config":
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project_description = st.text_area("Enter project description:")
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if st.button("Generate"):
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config = agent.generate_project_config(project_description)
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st.json(config.__dict__)
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elif option == "Create Project Structure":
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config_json = st.text_area("Enter ProjectConfig JSON:")
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if st.button("Create"):
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config_dict = eval(config_json)
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config = ProjectConfig(**config_dict)
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structure = agent.create_project_structure(config)
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st.json(structure)
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elif option == "Implement Feature":
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feature_description = st.text_area("Enter feature description:")
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existing_code = st.text_area("Enter existing code (optional):")
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if st.button("Implement"):
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new_code = agent.implement_feature(feature_description, existing_code)
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st.code(new_code)
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elif option == "Review Code":
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code = st.text_area("Enter code to review:")
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if st.button("Review"):
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review = agent.review_code(code)
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st.write(review)
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elif option == "Optimize Code":
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code = st.text_area("Enter code to optimize:")
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optimization_goal = st.text_input("Enter optimization goal:")
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if st.button("Optimize"):
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optimized_code = agent.optimize_code(code, optimization_goal)
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st.code(optimized_code)
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elif option == "Generate Documentation":
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code = st.text_area("Enter code to document:")
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if st.button("Generate"):
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documentation = agent.generate_documentation(code)
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st.markdown(documentation)
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elif option == "Suggest Tests":
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code = st.text_area("Enter code to suggest tests for:")
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if st.button("Suggest"):
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test_suggestions = agent.suggest_tests(code)
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st.write(test_suggestions)
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elif option == "Explain Code":
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code = st.text_area("Enter code to explain:")
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if st.button("Explain"):
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explanation = agent.explain_code(code)
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st.write(explanation)
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elif option == "Suggest Refactoring":
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code = st.text_area("Enter code to suggest refactoring:")
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if st.button("Suggest"):
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refactoring_suggestions = agent.suggest_refactoring(code)
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st.write(refactoring_suggestions)
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