Create app.py

app.py

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+import streamlit as st
+import subprocess
+import os
+import time
+from langchain.text_splitter import RecursiveCharacterTextSplitter
+from langchain_openai import OpenAIEmbeddings, ChatOpenAI
+from langchain_chroma import Chroma
+from langchain.chains import RetrievalQA
+from langchain.memory import ConversationBufferMemory
+from langchain.prompts import PromptTemplate
+from langchain.schema import AIMessage, HumanMessage
+
+# Set OpenAI API Key
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+# Initialize OpenAI Chat Model
+llm = ChatOpenAI(model_name="gpt-3.5-turbo", temperature=0.3, openai_api_key=OPENAI_API_KEY)
+
+# Initialize ChromaDB Vector Store
+vectorstore = Chroma(embedding_function=OpenAIEmbeddings())
+
+# Define Prompt Template
+prompt_template = PromptTemplate(
+    input_variables=["language", "description"],
+    template="""
+    You are an **expert AI coding assistant** proficient in **ALL web development languages**, including:
+    - HTML, CSS, JavaScript, React, Vue.js, Angular, Svelte
+    - Node.js, Express.js, Django, Flask, Ruby on Rails
+    - PHP, Laravel, ASP.NET, .NET Core, C#
+    - Python, TypeScript, GraphQL, SQL, NoSQL
+    - WebSockets, REST APIs, WebAssembly, Web3.js
+
+    **Task:** 
+    Generate a **complete, structured, and functional** code snippet based on the user request.
+
+    **Language:** {language}  
+    **Description:** {description}  
+
+    - Ensure the code follows best practices and industry standards.
+    - Include comments explaining key sections.
+    - If applicable, provide installation/setup instructions.
+    """
+)
+
+# Streamlit UI
+st.set_page_config(page_title="Intelligent Coding Agent", layout="wide")
+st.title("🧠💻 Intelligent Coding Agent")
+st.markdown("### Generate and Run Code in Any Web Development Language!")
+
+# Language selection
+languages = ["Python", "JavaScript", "PHP", "C#", "HTML/CSS/JS"]
+language = st.selectbox("Select a programming language:", languages)
+
+# User input for code description
+description = st.text_area("Describe the code you need:", placeholder="E.g., Build a login system in PHP")
+
+# Generate button
+if st.button("Generate Code"):
+    if not description.strip():
+        st.warning("Please enter a code description!")
+    else:
+        # Show Progress Bar
+        progress_bar = st.progress(0)
+        status_text = st.empty()
+
+        # Progress Simulation
+        for i in range(50):
+            progress_bar.progress(i + 1)
+            status_text.text(f"🔄 Generating code... ({i+1}%)")
+            time.sleep(0.03)
+
+        # Generate Code
+        prompt = prompt_template.format(language=language, description=description)
+        response = llm.invoke([HumanMessage(content=prompt)])
+
+        # Progress Complete
+        for i in range(50, 100):
+            progress_bar.progress(i + 1)
+            status_text.text(f"✅ Code Generation Complete ({i+1}%)")
+            time.sleep(0.01)
+
+        # Show Generated Code
+        st.subheader("Generated Code:")
+        st.code(response.content, language=language.lower())
+
+        # Save to ChromaDB
+        vectorstore.add_texts([response.content])
+
+# Run Code Section
+st.subheader("Run Code (For Python, JS, PHP, C#)")
+if st.button("Run Code"):
+    if language in ["Python", "JavaScript", "PHP", "C#"]:
+        # Save code to temp file
+        filename = f"temp_code.{language.lower()}"
+        with open(filename, "w") as f:
+            f.write(response.content)
+
+        # Determine execution command
+        if language == "Python":
+            command = ["python", filename]
+        elif language == "JavaScript":
+            command = ["node", filename]
+        elif language == "PHP":
+            command = ["php", filename]
+        elif language == "C#":
+            command = ["dotnet-script", filename]
+        
+        # Run the code using subprocess
+        try:
+            output = subprocess.run(command, capture_output=True, text=True, timeout=10)
+            st.subheader("Output:")
+            st.text(output.stdout if output.stdout else "No output")
+            if output.stderr:
+                st.subheader("Errors:")
+                st.text(output.stderr)
+        except Exception as e:
+            st.error(f"Error executing code: {str(e)}")
+
+# Render HTML/CSS/JS
+if language == "HTML/CSS/JS":
+    st.subheader("Live Preview:")
+    st.components.v1.html(response.content, height=500)
+
+# Download Option
+if st.button("Download Code"):
+    with open("generated_code.txt", "w") as f:
+        f.write(response.content)
+    st.download_button("Download Generated Code", "generated_code.txt", "text/plain")
+
+st.markdown("---")
+st.markdown("🔹 **Built with LangChain (Latest), OpenAI GPT, and ChromaDB** 🔹")