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import gradio as gr
import requests
import os
import json
from typing import List, Dict, Optional
import time
import subprocess
import tempfile
import sys
import io
import contextlib
class OpenRouterCodingAgent:
def __init__(self):
# Get API key from environment variable or Hugging Face Secrets
self.api_key = os.getenv("OPENROUTER_API_KEY")
self.base_url = "https://openrouter.ai/api/v1/chat/completions"
# Free coding models (good for code generation)
self.free_models = [
"agentica-org/deepcoder-14b-preview:free",
"arliai/qwq-32b-arliai-rpr-v1:free",
"cognitivecomputations/dolphin3.0-mistral-24b:free",
"cognitivecomputations/dolphin3.0-r1-mistral-24b:free",
"deepseek/deepseek-chat-v3-0324:free",
"deepseek/deepseek-chat:free",
"deepseek/deepseek-r1-0528-qwen3-8b:free",
"deepseek/deepseek-r1-0528:free",
"deepseek/deepseek-r1-distill-llama-70b:free",
"deepseek/deepseek-r1-distill-qwen-14b:free",
"deepseek/deepseek-r1:free",
"deepseek/deepseek-v3-base:free",
"featherless/qwerky-72b:free",
"google/gemini-2.0-flash-exp:free",
"google/gemini-2.5-pro-exp-03-25",
"google/gemma-2-9b-it:free",
"google/gemma-3-12b-it:free",
"google/gemma-3-27b-it:free",
"google/gemma-3-4b-it:free",
"google/gemma-3n-e4b-it:free",
"meta-llama/llama-3.1-8b-instruct:free",
"meta-llama/llama-3.2-11b-vision-instruct:free",
"meta-llama/llama-3.2-1b-instruct:free",
"meta-llama/llama-3.3-70b-instruct:free",
"meta-llama/llama-4-maverick:free",
"meta-llama/llama-4-scout:free",
"microsoft/mai-ds-r1:free",
"mistralai/devstral-small:free",
"mistralai/mistral-7b-instruct:free",
"mistralai/mistral-nemo:free",
"mistralai/mistral-small-24b-instruct-2501:free",
"mistralai/mistral-small-3.1-24b-instruct:free",
"mistralai/mistral-small-3.2-24b-instruct:free",
"moonshotai/kimi-dev-72b:free",
"moonshotai/kimi-vl-a3b-thinking:free",
"nousresearch/deephermes-3-llama-3-8b-preview:free",
"nvidia/llama-3.1-nemotron-ultra-253b-v1:free",
"nvidia/llama-3.3-nemotron-super-49b-v1:free",
"qwen/qwen-2.5-72b-instruct:free",
"qwen/qwen-2.5-coder-32b-instruct:free",
"qwen/qwen2.5-vl-32b-instruct:free",
"qwen/qwen2.5-vl-72b-instruct:free",
"qwen/qwen3-14b:free",
"qwen/qwen3-235b-a22b:free",
"qwen/qwen3-30b-a3b:free",
"qwen/qwen3-32b:free",
"qwen/qwen3-8b:free",
"qwen/qwq-32b:free",
"rekaai/reka-flash-3:free",
"sarvamai/sarvam-m:free",
"shisa-ai/shisa-v2-llama3.3-70b:free",
"thudm/glm-4-32b:free",
"thudm/glm-z1-32b:free",
"tngtech/deepseek-r1t-chimera:free",
]
# Set default model (DeepSeek is excellent for coding)
self.default_model = "deepseek/deepseek-r1:free"
print(f"β
Coding Agent ready with {len(self.free_models)} free models")
def get_clean_model_choices(self):
"""Get model choices with clean names for display"""
choices = []
for model in self.free_models:
clean_name = model.replace(":free", "")
choices.append((clean_name, model))
return choices
def make_request(self, messages: List[Dict], model: str, temperature: float = 0.7) -> str:
"""Make a request to OpenRouter API"""
if not self.api_key:
return "β Error: OpenRouter API key not configured."
headers = {
"Authorization": f"Bearer {self.api_key}",
"Content-Type": "application/json",
"HTTP-Referer": "https://huggingface.co/spaces",
"X-Title": "Free Coding Agent via OpenRouter"
}
data = {
"model": model,
"messages": messages,
"temperature": temperature,
"max_tokens": 2000,
"stream": False
}
try:
response = requests.post(self.base_url, headers=headers, json=data, timeout=60)
response.raise_for_status()
result = response.json()
if 'choices' in result and len(result['choices']) > 0:
return result['choices'][0]['message']['content']
else:
return "β Error: No response generated"
except Exception as e:
return f"β Error: {str(e)}"
# Initialize the coding agent
coding_agent = OpenRouterCodingAgent()
def execute_python_code(code: str) -> str:
"""Execute Python code safely and return output"""
if not code.strip():
return ""
# Create string buffer to capture output
output = io.StringIO()
try:
# Redirect stdout to capture print statements
with contextlib.redirect_stdout(output):
# Execute the code
exec(code)
result = output.getvalue()
return result if result else "β
Code executed successfully (no output)"
except Exception as e:
return f"β Error: {str(e)}"
def create_web_preview(html: str, css: str, js: str) -> str:
"""Create a complete HTML page with CSS and JS"""
return f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Live Preview</title>
<style>
body {{
margin: 0;
padding: 20px;
font-family: Arial, sans-serif;
}}
{css}
</style>
</head>
<body>
{html}
<script>
{js}
</script>
</body>
</html>
"""
def generate_code(prompt: str, model: str, code_type: str, current_code: str = "") -> str:
"""Generate code using OpenRouter API"""
system_prompts = {
"html": "You are an expert HTML developer. Generate clean, semantic HTML code based on the user's request. Only return the HTML code, no explanations.",
"css": "You are an expert CSS developer. Generate modern, responsive CSS code based on the user's request. Only return the CSS code, no explanations.",
"javascript": "You are an expert JavaScript developer. Generate clean, modern JavaScript code based on the user's request. Only return the JavaScript code, no explanations.",
"python": "You are an expert Python developer. Generate clean, working Python code based on the user's request. Only return the Python code, no explanations."
}
context = f"\nCurrent {code_type} code:\n```{code_type}\n{current_code}\n```\n" if current_code.strip() else ""
messages = [
{"role": "system", "content": system_prompts.get(code_type, "You are a helpful coding assistant.")},
{"role": "user", "content": f"{prompt}{context}"}
]
response = coding_agent.make_request(messages, model)
# Clean up the response to extract just the code
if "```" in response:
# Extract code from markdown code blocks
parts = response.split("```")
for i, part in enumerate(parts):
if i % 2 == 1: # Odd indices are code blocks
# Remove language identifier if present
lines = part.strip().split('\n')
if lines[0].strip() in ['html', 'css', 'javascript', 'js', 'python', 'py']:
return '\n'.join(lines[1:])
return part.strip()
return response.strip()
def chat_with_agent(message: str, history: List, model: str) -> tuple:
"""Chat with the coding agent"""
if not message.strip():
return history, ""
messages = [
{"role": "system", "content": "You are a helpful coding assistant. Help users with programming questions, debugging, and code explanations."}
]
# Add conversation history - convert from messages format
for msg in history:
if isinstance(msg, dict):
messages.append(msg)
else:
# Handle old tuple format if any
user_msg, assistant_msg = msg
if user_msg:
messages.append({"role": "user", "content": user_msg})
if assistant_msg:
messages.append({"role": "assistant", "content": assistant_msg})
# Add current message
messages.append({"role": "user", "content": message})
# Get response
response = coding_agent.make_request(messages, model, temperature=0.7)
# Add to history in messages format
history.append({"role": "user", "content": message})
history.append({"role": "assistant", "content": response})
return history, ""
# Create the Gradio interface
with gr.Blocks(
title="Free Coding Agent - CodePen Style",
theme=gr.themes.Soft(),
css="""
.code-container { font-family: 'Courier New', monospace; }
.preview-container { border: 1px solid #ddd; border-radius: 8px; }
.main-header { text-align: center; margin-bottom: 2em; }
""") as demo:
gr.HTML("""
<div class="main-header">
<h1>π Free Coding Agent</h1>
<p>CodePen-style environment with AI assistance</p>
<p style="color: #22c55e; font-weight: bold;">β¨ Generate, edit, and run code with AI help!</p>
</div>
""")
with gr.Row():
# Left Panel - Code Editors and AI
with gr.Column(scale=1):
gr.Markdown("### π€ AI Coding Assistant")
model_dropdown = gr.Dropdown(
choices=coding_agent.get_clean_model_choices(),
value=coding_agent.default_model,
label="AI Model",
info="Choose your coding AI"
)
# AI Chat Interface
with gr.Accordion("π¬ Chat with AI", open=True):
chatbot = gr.Chatbot(height=300, show_label=False, type='messages')
chat_input = gr.Textbox(
placeholder="Ask the AI about coding, debugging, or request code generation...",
show_label=False
)
chat_btn = gr.Button("Send", variant="primary")
# Code Generation Tools
gr.Markdown("### π οΈ Code Generation")
code_type = gr.Radio(
choices=["html", "css", "javascript", "python"],
value="html",
label="Code Type"
)
code_prompt = gr.Textbox(
placeholder="Describe what you want to generate...",
label="Code Request",
lines=2
)
generate_btn = gr.Button("π― Generate Code", variant="secondary")
# Right Panel - Code Editors
with gr.Column(scale=2):
gr.Markdown("### π Code Editors")
with gr.Tabs():
with gr.Tab("HTML"):
html_code = gr.Code(
value="<h1>Hello World!</h1>\n<p>Start coding here...</p>",
language="html",
label="HTML",
lines=15
)
with gr.Tab("CSS"):
css_code = gr.Code(
value="body {\n background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);\n color: white;\n text-align: center;\n padding: 50px;\n}",
language="css",
label="CSS",
lines=15
)
with gr.Tab("JavaScript"):
js_code = gr.Code(
value="console.log('Hello from JavaScript!');\n\n// Add your JavaScript here",
language="javascript",
label="JavaScript",
lines=15
)
with gr.Tab("Python"):
python_code = gr.Code(
value="print('Hello from Python!')\n\n# Add your Python code here",
language="python",
label="Python",
lines=15
)
with gr.Row():
# Preview Panel
with gr.Column():
gr.Markdown("### π Live Preview")
with gr.Tabs():
with gr.Tab("Web Preview"):
web_preview = gr.HTML(
value=create_web_preview(
"<h1>Hello World!</h1><p>Start coding here...</p>",
"body { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; text-align: center; padding: 50px; }",
"console.log('Hello from JavaScript!');"
),
label="Preview"
)
update_preview_btn = gr.Button("π Update Preview", variant="primary")
with gr.Tab("Python Output"):
python_output = gr.Textbox(
value="",
label="Python Output",
lines=10,
max_lines=20,
interactive=False
)
run_python_btn = gr.Button("βΆοΈ Run Python", variant="primary")
# Event Handlers
def update_preview(html, css, js):
return create_web_preview(html, css, js)
def run_python(code):
return execute_python_code(code)
def generate_code_handler(prompt, model, code_type, html, css, js, python):
current_code = {
"html": html,
"css": css,
"javascript": js,
"python": python
}.get(code_type, "")
generated = generate_code(prompt, model, code_type, current_code)
if code_type == "html":
return generated, css, js, python
elif code_type == "css":
return html, generated, js, python
elif code_type == "javascript":
return html, css, generated, python
elif code_type == "python":
return html, css, js, generated
return html, css, js, python
# Connect event handlers
chat_btn.click(
chat_with_agent,
inputs=[chat_input, chatbot, model_dropdown],
outputs=[chatbot, chat_input]
)
chat_input.submit(
chat_with_agent,
inputs=[chat_input, chatbot, model_dropdown],
outputs=[chatbot, chat_input]
)
update_preview_btn.click(
update_preview,
inputs=[html_code, css_code, js_code],
outputs=[web_preview]
)
run_python_btn.click(
run_python,
inputs=[python_code],
outputs=[python_output]
)
generate_btn.click(
generate_code_handler,
inputs=[code_prompt, model_dropdown, code_type, html_code, css_code, js_code, python_code],
outputs=[html_code, css_code, js_code, python_code]
)
# Auto-update preview when code changes
for code_input in [html_code, css_code, js_code]:
code_input.change(
update_preview,
inputs=[html_code, css_code, js_code],
outputs=[web_preview]
)
# Launch the app
if __name__ == "__main__":
demo.launch(
share=False,
server_name="0.0.0.0",
show_error=True
)
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