shx-setup.log

❌ Error occurred at line 76: python3 - <<EOF
from transformers import AutoTokenizer, AutoModelForCausalLM
print("🔍 Downloading tokenizer & model...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = AutoModelForCausalLM.from_pretrained("$MODEL_NAME")
print("✅ Model ready.")
EOF


❌ Error occurred at line 76: python3 - <<EOF
from transformers import AutoTokenizer, GPTNeoForCausalLM
print("🔍 Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("✅ Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 76: python3 - <<EOF
from transformers import AutoTokenizer, GPTNeoForCausalLM
print("🔍 Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("✅ Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 74: python3 - <<EOF
from transformers import AutoTokenizer, GPTNeoForCausalLM
print("🔍 Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = AutoTokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("✅ Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 88: python3 - <<EOF
from transformers import GPT2Tokenizer, GPTNeoForCausalLM
print("🔍 Downloading tokenizer & model (GPTNeoForCausalLM)...")
tokenizer = GPT2Tokenizer.from_pretrained("$MODEL_NAME")
model = GPTNeoForCausalLM.from_pretrained("$MODEL_NAME")
print("✅ Model ready (GPTNeoForCausalLM).")
EOF


❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space --space-sdks gradio

❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space

❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space

❌ Error occurred at line 182: huggingface-cli repo create "$HF_USERNAME/$HF_SPACE_NAME" --type space

❌ Error occurred at line 182: huggingface-cli repo create "$HF_SPACE_NAME" --type space

❌ Error occurred at line 216: huggingface-cli repo create "$HF_SPACE_NAME" --type space --space-sdk gradio

❌ Error occurred at line 184: python3 - <<EOF
from transformers import GPT2Tokenizer, GPTNeoForCausalLM
import json

# Load configuration
with open("$WORK_DIR/shx-config.json", "r") as f:
    config = json.load(f)

tokenizer = GPT2Tokenizer.from_pretrained(config["model_name"])
model = GPTNeoForCausalLM.from_pretrained(config["model_name"])
prompt = "SHX is"
inputs = tokenizer(prompt, return_tensors="pt", padding=True)
output = model.generate(
    input_ids=inputs.input_ids,
    attention_mask=inputs.attention_mask,
    pad_token_id=tokenizer.eos_token_id,
    max_length=config["max_length"],
    temperature=config["temperature"],
    top_k=config["top_k"],
    top_p=config["top_p"]
)
print("🧠 SHX Test Output:", tokenizer.decode(output[0], skip_special_tokens=True))
EOF


❌ Error occurred at line 168: cat <<EOF > "$WORK_DIR/README.md"
---
title: SHX-Auto GPT Space
emoji: 🧠
colorFrom: gray
colorTo: blue
sdk: gradio
sdk_version: "3.50.2"
app_file: app.py
pinned: true
---

# 🚀 SHX-Auto: Hyperintelligent Neural Interface

> Built on **[EleutherAI/gpt-neo-1.3](https://huggingface.co/EleutherAI/gpt-neo-1.3)**  
> Powered by ⚡ Gradio + Hugging Face Spaces + Quantum-AI Concepts

---

## 🧬 Purpose

SHX-Auto is a **self-evolving AI agent** designed to generate full-stack solutions, SaaS, and code with real-time inference using the `EleutherAI/gpt-neo-1.3` model. It is a powerful tool for quantum-native developers, enabling them to build and automate complex systems with ease.

## 🧠 Model Used

- **Model:** [`EleutherAI/gpt-neo-1.3`](https://huggingface.co/EleutherAI/gpt-neo-1.3)
- **Architecture:** Transformer Decoder
- **Training Data:** The Pile (825GB diverse dataset)
- **Use Case:** Conversational AI, Code Generation, SaaS Bootstrapping

---

## 🎮 How to Use

Interact with SHX below 👇  
Type in English — it auto-generates:

- ✅ Python Code
- ✅ Websites / HTML / CSS / JS
- ✅ SaaS / APIs
- ✅ AI Agent Logic

---

## ⚙️ Technologies

- ⚛️ GPT-Neo 1.3B
- 🧠 SHX Agent Core
- 🌀 Gradio SDK 3.50.2
- 🐍 Python 3.10
- 🌐 Hugging Face Spaces

---

## 🚀 Getting Started

### Overview

SHX-Auto is a powerful, GPT-Neo-based terminal agent designed to assist quantum-native developers in building and automating complex systems. With its advanced natural language processing capabilities, SHX-Auto can understand and execute a wide range of commands, making it an indispensable tool for developers.

### Features

- **Advanced NLP**: Utilizes the EleutherAI/gpt-neo-1.3 model for sophisticated language understanding and generation.
- **Gradio Interface**: User-friendly interface for interacting with the model.
- **Customizable Configuration**: Easily adjust model parameters such as temperature, top_k, and top_p.
- **Real-time Feedback**: Get immediate responses to your commands and see the chat history.

### Usage

1. **Initialize the Space**:
   - Clone the repository or create a new Space on Hugging Face.
   - Ensure you have the necessary dependencies installed.

2. **Run the Application**:
   - Use the Gradio interface to interact with SHX-Auto.
   - Enter your commands in the input box and click "Run" to get responses.

### Configuration

- **Model Name**: `EleutherAI/gpt-neo-1.3`
- **Max Length**: 150
- **Temperature**: 0.7
- **Top K**: 50
- **Top P**: 0.9

### Example

```python
# Example command
prompt = "Create a simple web application with a form to collect user data."
response = shx_terminal(prompt)
print(f"🤖 SHX Response: {response}")

Final Steps

    Initialize git in this folder:

    git init

    Commit your SHX files:

    git add . && git commit -m "Initial SHX commit"

    Create the Space manually (choose SDK: gradio/static/etc):

    huggingface-cli repo create SHX-Auto --type space --space-sdk gradio

    Add remote:

    git remote add origin https://huggingface.co/spaces/$HF_USERNAME/SHX-Auto

    Push your space:

    git branch -M main && git push -u origin main

🌐 After that, visit: https://huggingface.co/spaces/$HF_USERNAME/SHX-Auto

SHX interface will now be live on Hugging Face. HAPPY CODING!

For more information and support, visit our GitHub repository:
https://github.com/subatomicERROR
EOF