Update app.py

app.py

@@ -1,54 +1,123 @@
-import streamlit as st
-from huggingface_hub import HfApi
 import os
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForCausalLM
-from typing import List, Dict
-from supplemental import Agent, Tool, CodeGenerationTool, DataRetrievalTool, TextGenerationTool, CodeExecutionTool, CodeDebuggingTool, CodeSummarizationTool, CodeTranslationTool, CodeOptimizationTool, CodeDocumentationTool, ImageGenerationTool, ImageEditingTool, ImageAnalysisTool, Workflow, EnhancedAIAgent
-
-st.title("CODEFUSSION ☄")
-
-# Access Hugging Face API key from secrets
-hf_token = st.secrets["hf_token"]
-if not hf_token:
-    st.error("Hugging Face API key not found. Please make sure it is set in the secrets.")
-
-# --- Agent Pool ---
-agent_pool = {
-    "IdeaIntake": EnhancedAIAgent("IdeaIntake", "Idea Intake", ["Data Retrieval", "Code Generation", "Text Generation"], "bigcode/starcoder"),
-    "CodeBuilder": EnhancedAIAgent("CodeBuilder", "Code Builder", ["Code Generation", "Code Debugging", "Code Optimization"], "bigcode/starcoder"),
-    "ImageCreator": EnhancedAIAgent("ImageCreator", "Image Creator", ["Image Generation", "Image Editing"], "bigcode/starcoder"),
-}
-
-# --- Workflow Definitions ---
-class Workflow:
-    def __init__(self, name, agents, task, description):
-        self.name = name
-        self.agents = agents
-        self.task = task
-        self.description = description
-
-    def run(self, prompt, context):
-        # Workflow execution logic
-        for agent in self.agents:
-            action = agent.act(prompt, context)
-            # Execute the tool
-            if action.get("tool"):
-                tool = next((t for t in agent.tools if t.name == action["tool"]), None)
-                if tool:
-                    output = tool.run(action["arguments"])
-                    # Update context
-                    context.update(output)
-
-# Example usage
-workflow = Workflow(
-    name="Example Workflow",
-    agents=[agent_pool["IdeaIntake"], agent_pool["CodeBuilder"]],
-    task="Generate and debug code",
-    description="A workflow to generate and debug code using AI agents."
+import logging
+from flask import Flask, request, jsonify, render_template
+from dotenv import load_dotenv
+from supplemental import EnhancedAIAgent, ProjectConfig
+
+# Load environment variables
+load_dotenv()
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+# Initialize Flask app
+app = Flask(__name__)
+
+# Initialize EnhancedAIAgent
+agent = EnhancedAIAgent(
+    name="WebDevMaster",
+    description="Expert in full-stack web development",
+    skills=["HTML", "CSS", "JavaScript", "React", "Node.js"],
+    model_name="gpt2"
 )
 
-context = {}
-prompt = "Create a Python function to add two numbers."
-workflow.run(prompt, context)
-st.write(context)
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/generate_project_config', methods=['POST'])
+def generate_project_config():
+    try:
+        project_description = request.json['project_description']
+        config = agent.generate_project_config(project_description)
+        return jsonify(config.__dict__), 200
+    except Exception as e:
+        logger.error(f"Error generating project config: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/create_project_structure', methods=['POST'])
+def create_project_structure():
+    try:
+        config_dict = request.json
+        config = ProjectConfig(**config_dict)
+        structure = agent.create_project_structure(config)
+        return jsonify(structure), 200
+    except Exception as e:
+        logger.error(f"Error creating project structure: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/implement_feature', methods=['POST'])
+def implement_feature():
+    try:
+        feature_description = request.json['feature_description']
+        existing_code = request.json.get('existing_code')
+        new_code = agent.implement_feature(feature_description, existing_code)
+        return jsonify({"code": new_code}), 200
+    except Exception as e:
+        logger.error(f"Error implementing feature: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/review_code', methods=['POST'])
+def review_code():
+    try:
+        code = request.json['code']
+        review = agent.review_code(code)
+        return jsonify({"review": review}), 200
+    except Exception as e:
+        logger.error(f"Error reviewing code: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/optimize_code', methods=['POST'])
+def optimize_code():
+    try:
+        code = request.json['code']
+        optimization_goal = request.json['optimization_goal']
+        optimized_code = agent.optimize_code(code, optimization_goal)
+        return jsonify({"optimized_code": optimized_code}), 200
+    except Exception as e:
+        logger.error(f"Error optimizing code: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/generate_documentation', methods=['POST'])
+def generate_documentation():
+    try:
+        code = request.json['code']
+        documentation = agent.generate_documentation(code)
+        return jsonify({"documentation": documentation}), 200
+    except Exception as e:
+        logger.error(f"Error generating documentation: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/suggest_tests', methods=['POST'])
+def suggest_tests():
+    try:
+        code = request.json['code']
+        test_suggestions = agent.suggest_tests(code)
+        return jsonify({"test_suggestions": test_suggestions}), 200
+    except Exception as e:
+        logger.error(f"Error suggesting tests: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/explain_code', methods=['POST'])
+def explain_code():
+    try:
+        code = request.json['code']
+        explanation = agent.explain_code(code)
+        return jsonify({"explanation": explanation}), 200
+    except Exception as e:
+        logger.error(f"Error explaining code: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+@app.route('/suggest_refactoring', methods=['POST'])
+def suggest_refactoring():
+    try:
+        code = request.json['code']
+        refactoring_suggestions = agent.suggest_refactoring(code)
+        return jsonify({"refactoring_suggestions": refactoring_suggestions}), 200
+    except Exception as e:
+        logger.error(f"Error suggesting refactoring: {str(e)}")
+        return jsonify({"error": str(e)}), 400
+
+if __name__ == '__main__':
+    app.run(debug=os.getenv('FLASK_DEBUG', 'False') == 'True', host='0.0.0.0', port=int(os.getenv('PORT', 5000)))