import gradio as gr
import requests
import json
import os

# Retrieve the API key from environment variables
API_KEY = os.getenv('API_KEY')
if not API_KEY:
    raise ValueError("API_KEY environment variable not set")

API_URL = "https://api-inference.huggingface.co/models/Salesforce/codegen-350M-mono"
headers = {"Authorization": f"Bearer {API_KEY}"}

def generate_response(prompt, max_length=500, temperature=0.5):
    data = {
        "inputs": prompt,
        "parameters": {
            "max_length": max_length,
            "temperature": temperature,
        }
    }
    response = requests.post(API_URL, headers=headers, json=data)
    if response.status_code == 200:
        result = response.json()
        return result[0]['generated_text'] if result else "No response received"
    else:
        return f"Error: {response.status_code}\n{response.text}"

def main(prompt, max_length=500, temperature=0.5):
    response = generate_response(prompt, max_length, temperature)
    return response

# Adding real-time feedback
def real_time_feedback(prompt):
    # Validate prompt and provide feedback
    if len(prompt) < 10:
        return "Please enter a longer prompt..."
    else:
        return "Ready to generate code!"

# Adding rich text formatting
def format_code(code):
    # Add syntax highlighting to the generated code using HTML tags
    formatted_code = "<pre><code>" + code + "</code></pre>"
    return formatted_code

# Adding interactive elements
def interactive_elements(prompt, max_length=500, temperature=0.5):
    # Provide interactive feedback and formatting
    feedback = real_time_feedback(prompt)
    code = main(prompt, max_length, temperature)
    formatted_code = format_code(code)
    return feedback, formatted_code

# Enhanced Gradio Interface with interactive elements
interactive_iface = gr.Interface(
    fn=interactive_elements,
    inputs=[
        gr.Textbox(label="Enter your prompt", placeholder="Enter your prompt here...", lines=5),
        gr.Slider(label="Max Length", minimum=50, maximum=2000, value=500, step=10),
        gr.Slider(label="Temperature", minimum=0.1, maximum=1.0, value=0.5, step=0.1)
    ],
    outputs=[
        gr.Textbox(label="Real-Time Feedback", placeholder="Real-time feedback will appear here...", lines=1),
        gr.HTML(label="Generated Code")
    ],
    title="Enhanced Code Assistant",
    description="Enter your prompt and get responses from the code generation model. Adjust the max length and temperature to customize the output."
)

# Launch the Gradio Interface
if __name__ == "__main__":
    interactive_iface.launch()