Upload codingagent.py

codingagent.py

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+import os
+import streamlit as st
+from crewai import Agent, Task, Crew, Process
+from langchain_openai import ChatOpenAI
+
+# === API Keys ===
+os.environ["OPENAI_API_KEY"] = "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"  # Replace with your actual key
+
+# === Streamlit UI Config ===
+st.set_page_config(
+    page_title="👨‍💻 Java Coding Assistant",
+    page_icon="☕", 
+    layout="wide"
+)
+
+# === Session State ===
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
+# === Java Coding Assistant Function ===
+def java_coding_assistant(query, model_name="gpt-4.1-nano-2025-04-14", temperature=0.7):
+    try:
+        llm = ChatOpenAI(
+            model_name=model_name,
+            temperature=temperature,
+            api_key=os.getenv("OPENAI_API_KEY")
+        )
+
+        # Main Java Expert Agent
+        java_expert = Agent(
+            role="Senior Java Full Stack Developer",
+            goal="Provide expert-level Java solutions with clear explanations and best practices",
+            backstory="""You are a Java expert with 10+ years of experience in:
+- Core Java (Collections, Multithreading, JDBC)
+- Backend Development (Spring Boot, Hibernate, Microservices)
+- Android Development (Java/Kotlin, Android SDK)
+- System Design and Architecture
+
+You provide:
+1. Complete code solutions with syntax highlighting
+2. Detailed explanations of concepts
+3. Best practices and optimization tips
+4. Alternative approaches when applicable""",
+            llm=llm,
+            verbose=True
+        )
+
+        # Task for handling the query
+        task = Task(
+            description=f"""Provide a comprehensive solution for this Java-related query:
+{query}
+
+Include:
+1. Problem analysis
+2. Complete Java code solution with proper syntax
+3. Explanation of key concepts
+4. Best practices
+5. Potential edge cases""",
+            agent=java_expert,
+            expected_output="""A well-structured response containing:
+- Problem breakdown
+- Complete Java code with syntax highlighting
+- Detailed explanation
+- Best practices
+- Runtime complexity analysis (if applicable)"""
+        )
+
+        crew = Crew(
+            agents=[java_expert],
+            tasks=[task],
+            process=Process.sequential,
+            verbose=True
+        )
+
+        result = crew.kickoff()
+        
+        # Format code blocks if present
+        if "```java" in result:
+            result = result.replace("```java", "```python")  # For Streamlit syntax highlighting
+        
+        return result
+
+    except Exception as e:
+        return f"❌ Error: {str(e)}"
+
+# === Streamlit UI ===
+st.title("☕ Java Coding Assistant")
+st.caption("Ask me anything about Java backend, Android development, or coding problems")
+
+# Display chat history
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+# Chat input
+if prompt := st.chat_input("Ask your Java question (e.g., 'How to implement REST API in Spring Boot?'):"):
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    
+    # Display user message
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    # Display assistant response
+    with st.chat_message("assistant"):
+        response = java_coding_assistant(prompt)
+        st.markdown(response, unsafe_allow_html=True)
+    
+    # Add assistant response to chat history
+    st.session_state.messages.append({"role": "assistant", "content": response})