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import gradio as gr
import requests
import os
from typing import Dict, Tuple
# Constants
DEFAULTS = {
"SYSTEM_MESSAGE": "You are CodePal.ai, an expert AI assistant specialized in helping programmers. You generate clean, efficient, and well-documented code based on user requirements.",
"MAX_TOKENS": 4000,
"TEMPERATURE": 0.7,
"TOP_P": 0.95,
}
API_URLS = {
"CODE_GENERATOR": "https://api.codepal.ai/v1/code-generator/query",
"CODE_FIXER": "https://api.codepal.ai/v1/code-fixer/query",
"CODE_EXTENDER": "https://api.codepal.ai/v1/code-extender/query",
}
def get_api_key() -> str:
"""Fetch API key from environment variables."""
return os.environ.get("CODEPAL_API_KEY", "")
def is_api_key_valid() -> bool:
"""Validate if the API key is set and not a placeholder."""
api_key = get_api_key()
return bool(api_key) and api_key != "YOUR_API_KEY"
def build_request_data(language: str, instructions: str, flavor: str, max_tokens: int, temperature: float, top_p: float) -> Dict:
"""Construct the request data for API calls."""
return {
"language": language,
"instructions": instructions,
"flavor": flavor,
"max_tokens": max_tokens,
"temperature": temperature,
"top_p": top_p
}
def handle_api_response(response) -> Tuple[bool, str]:
"""Handle API response and return success status and result."""
if response.status_code != 200:
error_message = "API request failed"
try:
error_data = response.json()
error_message = error_data.get("error", error_message)
except Exception:
error_message = f"API request failed with status code {response.status_code}"
return False, f"Error: {error_message}"
result = response.json()
if "error" in result:
return False, f"Error: {result['error']}"
return True, result["result"]
def generate_code(language: str, requirements: str, code_style: str, include_tests: bool,
max_tokens: int = DEFAULTS["MAX_TOKENS"],
temperature: float = DEFAULTS["TEMPERATURE"],
top_p: float = DEFAULTS["TOP_P"]) -> Tuple[bool, str]:
"""Generate code using CodePal.ai API."""
if not is_api_key_valid():
return False, "Error: CodePal.ai API key is not configured. Please set the CODEPAL_API_KEY environment variable."
flavor = {
"minimal": "minimal",
"verbose": "documented"
}.get(code_style, "standard") if code_style in ["minimal", "verbose"] else "tests" if include_tests else "standard"
api_key = get_api_key()
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
data = build_request_data(language, requirements, flavor, max_tokens, temperature, top_p)
try:
response = requests.post(API_URLS["CODE_GENERATOR"], headers=headers, json=data)
return handle_api_response(response)
except Exception as e:
return False, f"Error: {str(e)}"
def fix_code(code: str, instructions: str, language: str = "",
max_tokens: int = DEFAULTS["MAX_TOKENS"],
temperature: float = DEFAULTS["TEMPERATURE"],
top_p: float = DEFAULTS["TOP_P"]) -> Tuple[bool, str]:
"""Fix existing code using CodePal.ai API."""
if not is_api_key_valid():
return False, "Error: CodePal.ai API key is not configured. Please set the CODEPAL_API_KEY environment variable."
api_key = get_api_key()
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
data = build_request_data(language, instructions, "", max_tokens, temperature, top_p)
if language and language != "auto-detect":
data["language"] = language
try:
response = requests.post(API_URLS["CODE_FIXER"], headers=headers, json=data)
return handle_api_response(response)
except Exception as e:
return False, f"Error: {str(e)}"
def extend_code(code: str, instructions: str, language: str = "",
max_tokens: int = DEFAULTS["MAX_TOKENS"],
temperature: float = DEFAULTS["TEMPERATURE"],
top_p: float = DEFAULTS["TOP_P"]) -> Tuple[bool, str]:
"""Extend existing code using CodePal.ai API."""
if not is_api_key_valid():
return False, "Error: CodePal.ai API key is not configured. Please set the CODEPAL_API_KEY environment variable."
api_key = get_api_key()
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
data = build_request_data(language, instructions, "", max_tokens, temperature, top_p)
if language and language != "auto-detect":
data["language"] = language
try:
response = requests.post(API_URLS["CODE_EXTENDER"], headers=headers, json=data)
return handle_api_response(response)
except Exception as e:
return False, f"Error: {str(e)}"
def save_to_file(code: str, language: str, file_name: str = "generated_code") -> str:
"""Save the generated code to a file with appropriate extension."""
extensions = {
"python": ".py", "javascript": ".js", "typescript": ".ts", "java": ".java",
"c": ".c", "cpp": ".cpp", "csharp": ".cs", "go": ".go", "rust": ".rs",
"php": ".php", "ruby": ".rb", "swift": ".swift", "kotlin": ".kt",
"html": ".html", "css": ".css", "sql": ".sql", "shell": ".sh",
}
extension = extensions.get(language.lower(), ".txt")
full_file_name = f"{file_name}{extension}"
try:
with open(full_file_name, "w") as f:
f.write(code)
return f"Code successfully saved to {full_file_name}"
except Exception as e:
return f"Error saving code to file: {str(e)}"
def ui_generate_code(language: str, generation_type: str, requirements: str, code_style: str,
dependencies: str, include_tests: bool,
max_tokens: int = DEFAULTS["MAX_TOKENS"],
temperature: float = DEFAULTS["TEMPERATURE"],
top_p: float = DEFAULTS["TOP_P"],
save_file: bool = False) -> str:
"""UI handler for code generation."""
combined_requirements = f"{generation_type}: {requirements}"
if dependencies:
combined_requirements += f"\nDependencies: {dependencies}"
success, result = generate_code(language, combined_requirements, code_style, include_tests,
max_tokens, temperature, top_p)
if not success:
return result
if save_file:
file_message = save_to_file(result, language)
result = f"{result}\n\n{file_message}"
return result
def ui_fix_code(code: str, instructions: str, language: str,
max_tokens: int = DEFAULTS["MAX_TOKENS"],
temperature: float = DEFAULTS["TEMPERATURE"],
top_p: float = DEFAULTS["TOP_P"],
save_file: bool = False) -> str:
"""UI handler for code fixing."""
success, result = fix_code(code, instructions, language, max_tokens, temperature, top_p)
if not success:
return result
if save_file:
file_message = save_to_file(result, language, "fixed_code")
result = f"{result}\n\n{file_message}"
return result
def ui_extend_code(code: str, instructions: str, language: str,
max_tokens: int = DEFAULTS["MAX_TOKENS"],
temperature: float = DEFAULTS["TEMPERATURE"],
top_p: float = DEFAULTS["TOP_P"],
save_file: bool = False) -> str:
"""UI handler for code extension."""
success, result = extend_code(code, instructions, language, max_tokens, temperature, top_p)
if not success:
return result
if save_file:
file_message = save_to_file(result, language, "extended_code")
result = f"{result}\n\n{file_message}"
return result
# Create Gradio Interface with tabs for different functionality
with gr.Blocks(title="CodePal.ai Interface") as app:
gr.Markdown(
"""
# CodePal.ai Code Generator
A custom interface for the CodePal.ai API providing code generation, fixing, and extension capabilities.
**Note**: You need to set the `CODEPAL_API_KEY` environment variable with your CodePal.ai API key.
"""
)
api_key_status = gr.Markdown(
"⚠️ **API Key Status**: Checking..." if is_api_key_valid() else "❌ **API Key Status**: Missing. Please set the CODEPAL_API_KEY environment variable."
)
with gr.Tabs():
# Generate Code Tab
with gr.TabItem("Generate Code"):
with gr.Row():
with gr.Column(scale=1):
language = gr.Dropdown(
choices=["javascript", "typescript", "python", "react", "vue", "node", "php", "java", "csharp", "html", "css", "ruby", "go", "rust", "swift"],
value="javascript",
label="Language/Framework"
)
generation_type = gr.Radio(
choices=["component", "function", "api", "algorithm", "style", "other"],
value="function",
label="Generation Type"
)
requirements = gr.Textbox(
lines=5,
placeholder="Describe what you need in detail. Example: Create a function that sorts an array of objects by a specific property.",
label="Requirements",
info="Be as specific as possible for better results."
)
with gr.Accordion("Advanced Options", open=False):
code_style = gr.Dropdown(
choices=["standard", "functional", "oop", "minimal", "verbose"],
value="standard",
label="Code Style"
)
dependencies = gr.Textbox(
lines=2,
placeholder="E.g., react-router-dom, lodash, axios",
label="Dependencies (optional)",
info="List any packages or libraries you want to use."
)
include_tests = gr.Checkbox(
label="Include unit tests",
value=False
)
with gr.Group():
gr.Markdown("### Model Settings")
max_tokens = gr.Slider(
minimum=1000,
maximum=8000,
step=100,
value=DEFAULTS["MAX_TOKENS"],
label="Max Tokens",
info="Maximum number of tokens (words) in the generated response"
)
temperature = gr.Slider(
minimum=0.1,
maximum=1.0,
step=0.05,
value=DEFAULTS["TEMPERATURE"],
label="Temperature",
info="Higher values make output more random, lower values make it more deterministic"
)
top_p = gr.Slider(
minimum=0.5,
maximum=1.0,
step=0.05,
value=DEFAULTS["TOP_P"],
label="Top P",
info="Controls diversity via nucleus sampling"
)
save_gen_file = gr.Checkbox(
label="Save generated code to file",
value=False,
info="Automatically save the generated code to a file with appropriate extension"
)
generate_btn = gr.Button("Generate Code", variant="primary")
with gr.Column(scale=1):
output_code = gr.Code(
label="Generated Code",
language="javascript",
interactive=False,
lines=20
)
generate_btn.click(
fn=ui_generate_code,
inputs=[language, generation_type, requirements, code_style, dependencies, include_tests,
max_tokens, temperature, top_p],
outputs=[output_code]
)
language.change(
fn=lambda lang: gr.update(language=lang.lower()),
inputs=[language],
outputs=[output_code]
)
# Fix Code Tab
with gr.TabItem("Fix Code"):
with gr.Row():
with gr.Column(scale=1):
fix_language = gr.Dropdown(
choices=["auto-detect", "javascript", "typescript", "python", "react", "vue", "node", "php", "java", "csharp", "html", "css", "ruby", "go", "rust", "swift"],
value="auto-detect",
label="Language (optional)"
)
original_code = gr.Code(
label="Code to Fix",
language="javascript",
lines=10
)
fix_instructions = gr.Textbox(
lines=3,
placeholder="Describe what's wrong or what needs to be fixed.",
label="Fix Instructions",
info="Be specific about the issues or errors you want resolved."
)
with gr.Accordion("Advanced Model Settings", open=False):
fix_max_tokens = gr.Slider(
minimum=1000,
maximum=8000,
step=100,
value=DEFAULTS["MAX_TOKENS"],
label="Max Tokens",
info="Maximum number of tokens (words) in the generated response"
)
fix_temperature = gr.Slider(
minimum=0.1,
maximum=1.0,
step=0.05,
value=DEFAULTS["TEMPERATURE"],
label="Temperature",
info="Higher values make output more random, lower values make it more deterministic"
)
fix_top_p = gr.Slider(
minimum=0.5,
maximum=1.0,
step=0.05,
value=DEFAULTS["TOP_P"],
label="Top P",
info="Controls diversity via nucleus sampling"
)
save_fix_file = gr.Checkbox(
label="Save fixed code to file",
value=False,
info="Automatically save the fixed code to a file with appropriate extension"
)
fix_btn = gr.Button("Fix Code", variant="primary")
with gr.Column(scale=1):
fixed_code = gr.Code(
label="Fixed Code",
language="javascript",
interactive=False,
lines=20
)
fix_btn.click(
fn=ui_fix_code,
inputs=[original_code, fix_instructions, fix_language,
fix_max_tokens, fix_temperature, fix_top_p],
outputs=[fixed_code]
)
fix_language.change(
fn=lambda lang: gr.update(language=lang.lower() if lang != "auto-detect" else "javascript"),
inputs=[fix_language],
outputs=[fixed_code]
)
# Extend Code Tab
with gr.TabItem("Extend Code"):
with gr.Row():
with gr.Column(scale=1):
extend_language = gr.Dropdown(
choices=["auto-detect", "javascript", "typescript", "python", "react", "vue", "node", "php", "java", "csharp", "html", "css", "ruby", "go", "rust", "swift"],
value="auto-detect",
label="Language (optional)"
)
base_code = gr.Code(
label="Base Code",
language="javascript",
lines=10
)
extend_instructions = gr.Textbox(
lines=3,
placeholder="Describe how you want to extend the code.",
label="Extension Instructions",
info="Be specific about what new functionality or features you want to add."
)
with gr.Accordion("Advanced Model Settings", open=False):
extend_max_tokens = gr.Slider(
minimum=1000,
maximum=8000,
step=100,
value=DEFAULTS["MAX_TOKENS"],
label="Max Tokens",
info="Maximum number of tokens (words) in the generated response"
)
extend_temperature = gr.Slider(
minimum=0.1,
maximum=1.0,
step=0.05,
value=DEFAULTS["TEMPERATURE"],
label="Temperature",
info="Higher values make output more random, lower values make it more deterministic"
)
extend_top_p = gr.Slider(
minimum=0.5,
maximum=1.0,
step=0.05,
value=DEFAULTS["TOP_P"],
label="Top P",
info="Controls diversity via nucleus sampling"
)
extend_btn = gr.Button("Extend Code", variant="primary")
with gr.Column(scale=1):
extended_code = gr.Code(
label="Extended Code",
language="javascript",
interactive=False,
lines=20
)
extend_btn.click(
fn=ui_extend_code,
inputs=[base_code, extend_instructions, extend_language,
extend_max_tokens, extend_temperature, extend_top_p],
outputs=[extended_code]
)
extend_language.change(
fn=lambda lang: gr.update(language=lang.lower() if lang != "auto-detect" else "javascript"),
inputs=[extend_language],
outputs=[extended_code]
)
# Launch the app
if __name__ == "__main__":
import sys
port = int(os.environ.get("GRADIO_SERVER_PORT", 5000))
alt_port = 6000
try:
app.launch(
server_name="0.0.0.0",
server_port=port,
share=True,
debug=True
)
except OSError:
print(f"Port {port} is in use, trying port {alt_port} instead...")
app.launch(
server_name="0.0.0.0",
server_port=alt_port,
share=True,
debug=True
)
except Exception as e:
print(f"Error starting the Gradio application: {str(e)}")
sys.exit(1) |