app.py

import os
import sys
import time
import tempfile
import hashlib
import asyncio
import autopep8
from functools import lru_cache
from multiprocessing import Pool
from tenacity import retry, stop_after_attempt, wait_exponential

import huggingface_hub
import transformers
import gradio as gr
from huggingface_hub import HfFolder

# Caching Generated Code
code_cache = {}

def generate_code(idea):
    idea_hash = hashlib.md5(idea.encode()).hexdigest()
    if idea_hash in code_cache:
        return code_cache[idea_hash]
    code = gemmacode.generate(idea)
    code_cache[idea_hash] = code
    return code

# Parallel Processing
def generate_code_parallel(ideas):
    with Pool() as pool:
        return pool.map(gemmacode.generate, ideas)

# Asynchronous Code Generation
async def generate_code_async(idea):
    return await gemmacode.generate_async(idea)

# Batching Requests
def batch_generate(ideas, batch_size=10):
    for i in range(0, len(ideas), batch_size):
        batch = ideas[i:i+batch_size]
        yield gemmacode.generate_batch(batch)

# Progressive Code Generation
def generate_progressive(idea):
    for partial_code in gemmacode.generate_stream(idea):
        yield partial_code
        # Process or display partial_code

# Optimizing Model Loading
model = None

def get_model():
    global model
    if model is None:
        model = gemmacode.load_model()
    return model

def generate_code_optimized(idea):
    return get_model().generate(idea)

# Error Handling and Retries
@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))
def generate_code_with_retry(idea):
    return gemmacode.generate(idea)

# Code Optimization Post-Generation
def optimize_generated_code(code):
    return autopep8.fix_code(code)

# Lazy Evaluation
@lru_cache(maxsize=None)
def lazy_generate_code(idea):
    return gemmacode.generate(idea)

async def main():
    try:
        # Get the user's idea
        idea = input("What is your idea for an application? ")
    except EOFError:
        print("No input received. Exiting the program.")
        return

    # Generate the code for the application using optimized methods
    code = await generate_code_async(idea)
    code = optimize_generated_code(code)

    # Test the code
    try:
        transformers.pipeline("text-generation")(code)
    except Exception as e:
        print("The code failed to run:", e)
        return

    # Ensure the functionality of the application
    try:
        gr.Interface(fn=transformers.pipeline("text-generation"), inputs=gr.Textbox(), outputs=gr.Textbox()).launch()
    except Exception as e:
        print("The application failed to run:", e)
        return

    # Provide an embedded webapp demo of the user's idea implementation
    try:
        hf_folder = HfFolder(path=tempfile.mkdtemp())
        hf_folder.save(code)
        hf_folder.push_to_hub(repo_id="acecalisto3/gemmacode-demo", commit_message="Initial commit")
        print(f"The demo is available at: https://huggingface.co/acecalisto3/gemmacode-demo")
    except Exception as e:
        print("The demo failed to launch:", e)
        return

    # Offer the option to rebuild or deploy
    while True:
        try:
            choice = input("Do you want to rebuild or deploy the application? (r/d/q) ")
        except EOFError:
            print("No input received. Exiting the program.")
            return

        if choice == "r":
            # Rebuild the code using optimized methods
            code = await generate_code_async(idea)
            code = optimize_generated_code(code)

            # Test the code
            try:
                transformers.pipeline("text-generation")(code)
            except Exception as e:
                print("The code failed to run:", e)
                return

            # Ensure the functionality of the application
            try:
                gr.Interface(fn=transformers.pipeline("text-generation"), inputs=gr.Textbox(), outputs=gr.Textbox()).launch()
            except Exception as e:
                print("The application failed to run:", e)
                return

            # Provide an embedded webapp demo of the user's idea implementation
            try:
                hf_folder = HfFolder(path=tempfile.mkdtemp())
                hf_folder.save(code)
                hf_folder.push_to_hub(repo_id="acecalisto3/gemmacode-demo", commit_message="Initial commit")
                print(f"The demo is available at: https://huggingface.co/acecalisto3/gemmacode-demo")
            except Exception as e:
                print("The demo failed to launch:", e)
                return
        elif choice == "d":
            # Deploy the application
            try:
                api_token = os.environ["HF_TOKEN"]
                hub = huggingface_hub.HfApi(api_token=api_token)
                hub.create_repo(name="my-app", organization="my-org")
                hf_folder = HfFolder(path=tempfile.mkdtemp())
                hf_folder.save(code)
                hf_folder.push_to_hub(repo_id="my-org/my-app", commit_message="Initial commit")
                print("The application has been deployed to: https://huggingface.co/my-org/my-app")
            except Exception as e:
                print("The application failed to deploy:", e)
                return
        elif choice == "q":
            break
        else:
            print("Invalid choice")

if __name__ == "__main__":
    asyncio.run(main())