Initial SHX commit to fix errors

README.md

@@ -1,107 +1,3 @@
----
-title: SHX-Auto GPT Space
-emoji: 🧠
-colorFrom: gray
-colorTo: blue
-sdk: gradio
-sdk_version: 5.25.2
-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
-
----
-
-## ✨ Creator
-
-Developed by: [subatomicERROR (Yash R.)](https://github.com/subatomicERROR)  
-📡 [Hugging Face Profile](https://huggingface.co/subatomicERROR)  
-🛸 Futuristic, Quantum-AI-powered blackhole architecture
-
----
-
-## 📚 References
-
-- [EleutherAI/gpt-neo-1.3](https://huggingface.co/EleutherAI/gpt-neo-1.3)
-- [Gradio SDK Docs](https://gradio.app)
-- [Hugging Face Spaces Guide](https://huggingface.co/docs/hub/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}")
+# SHX-Auto: Multiversal System Builder
+## 🤯 GPT-Neo-based automation terminal agent for quantum-native devs.
+✨ By: subatomicERROR

SHX-setup.sh

@@ -106,7 +106,8 @@ import json
 import os
 
 # Load configuration
-with open("$CONFIG_FILE", "r") as f:
+config_file = "shx-config.json"
+with open(config_file, "r") as f:
     config = json.load(f)
 
 tokenizer = GPT2Tokenizer.from_pretrained(config["model_name"])
@@ -165,32 +166,148 @@ huggingface_hub
 EOF
 
 cat <<EOF > "$WORK_DIR/README.md"
-# SHX-Auto: Multiversal System Builder
-## 🤯 GPT-Neo-based automation terminal agent for quantum-native devs.
-✨ By: subatomicERROR
-EOF
+---
+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
 
-# === CONFIGURATION FILE ===
-echo -e "${CYAN}⚙️ Writing configuration file...${RESET}"
-cat <<EOF > "$WORK_DIR/shx-config.json"
-{
-    "model_name": "$MODEL_NAME",
-    "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
+=== CONFIGURATION FILE ===
+
+echo -e "CYAN⚙®Writingconfigurationfile...{CYAN}⚙️ Writing configuration file...CYAN⚙R◯Writingconfigurationfile...{RESET}"
+cat <<EOF > "WORK_DIR/shx-config.json" { "model_name": "MODEL_NAME",
+"max_length": 150,
+"temperature": 0.7,
+"top_k": 50,
+"top_p": 0.9
 }
 EOF
+=== FINAL TEST ===
 
-# === FINAL TEST ===
-echo -e "${CYAN}\n🧪 Running Final Test...${RESET}"
+echo -e "CYAN\n🧪RunningFinalTest...{CYAN}\n🧪 Running Final Test...CYAN\n🧪RunningFinalTest...{RESET}"
 python3 - <<EOF
 from transformers import GPT2Tokenizer, GPTNeoForCausalLM
 import json
+Load configuration
 
-# Load configuration
-with open("$WORK_DIR/shx-config.json", "r") as f:
-    config = json.load(f)
+config_file = "shx-config.json"
+with open(config_file, "r") as f:
+config = json.load(f)
 
 tokenizer = GPT2Tokenizer.from_pretrained(config["model_name"])
 tokenizer.pad_token = tokenizer.eos_token
@@ -198,77 +315,62 @@ 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"],
-    do_sample=True
+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"],
+do_sample=True
 )
 print("🧠 SHX Test Output:", tokenizer.decode(output[0], skip_special_tokens=True))
 EOF
 
-echo -e "\n${GREEN}✅ SHX is FULLY ONLINE and OPERATIONAL (with $MODEL_NAME)!${RESET}"
-echo -e "${CYAN}🌐 Access: https://huggingface.co/spaces/$HF_USERNAME/$HF_SPACE_NAME${RESET}"
+echo -e "\nGREEN✅SHXisFULLYONLINEandOPERATIONAL(with{GREEN}✅ SHX is FULLY ONLINE and OPERATIONAL (withGREEN✅SHXisFULLYONLINEandOPERATIONAL(withMODEL_NAME)!RESET"echo−e"{RESET}" echo -e "RESET"echo−e"{CYAN}🌐 Access: https://huggingface.co/spaces/$HF_USERNAME/$HF_SPACE_NAME${RESET}"
+=== AI-DRIVEN AUTOMATION ===
 
-# === AI-DRIVEN AUTOMATION ===
-echo -e "${CYAN}\n🤖 Initializing AI-Driven Automation...${RESET}"
+echo -e "CYAN\n🤖InitializingAI−DrivenAutomation...{CYAN}\n🤖 Initializing AI-Driven Automation...CYAN\n🤖InitializingAI−DrivenAutomation...{RESET}"
 cat <<EOF > "$WORK_DIR/shx-ai.py"
 import json
 import subprocess
 import os
+Load configuration
 
-# Load configuration
-with open("$WORK_DIR/shx-config.json", "r") as f:
-    config = json.load(f)
+config_file = "shx-config.json"
+with open(config_file, "r") as f:
+config = json.load(f)
 
 def run_command(command):
-    try:
-        result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
-        return result.stdout
-    except subprocess.CalledProcessError as e:
-        return f"⚠️ Error: {e.stderr}"
+try:
+result = subprocess.run(command, shell=True, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
+return result.stdout
+except subprocess.CalledProcessError as e:
+return f"⚠️ Error: {e.stderr}"
 
 def shx_ai(prompt):
-    # Generate response using the model
-    response = run_command(f"python3 $WORK_DIR/app.py --prompt '{prompt}'")
-    return response
-
-# Example usage
-if __name__ == "__main__":
-    prompt = "Create a simple web application with a form to collect user data."
-    response = shx_ai(prompt)
-    print(f"🤖 SHX Response: {response}")
+# Generate response using the model
+response = run_command(f"python3 app.py --prompt '{prompt}'")
+return response
+Example usage
+
+if name == "main":
+prompt = "Create a simple web application with a form to collect user data."
+response = shx_ai(prompt)
+print(f"🤖 SHX Response: {response}")
 EOF
 
-echo -e "${GREEN}✅ AI-Driven Automation Initialized. Ready to build almost anything!${RESET}"
+echo -e "GREEN✅AI−DrivenAutomationInitialized.Readytobuildalmostanything!{GREEN}✅ AI-Driven Automation Initialized. Ready to build almost anything!GREEN✅AI−DrivenAutomationInitialized.Readytobuildalmostanything!{RESET}"
+=== FINAL MESSAGE ===
 
-# === FINAL MESSAGE ===
-echo ""
-echo "🚀  ☁️ Boom your SHX is ready! And now fully configured."
-echo ""
-echo "✅ PyTorch: $PYTORCH_VERSION"
-echo "✅ Model: $HF_MODEL"
-echo "✅ Hugging Face Token saved for: $HF_USERNAME"
-echo ""
-echo "🛠️ Now to push your SHX Space manually to Hugging Face, follow these final steps:"
-echo ""
-echo "1. Initialize git in this folder:"
-echo "   git init"
-echo ""
-echo "2. Commit your SHX files:"
-echo "   git add . && git commit -m \"Initial SHX commit\""
 echo ""
-echo "3. Create the Space manually (choose SDK: gradio/static/etc):"
-echo "   huggingface-cli repo create SHX-Auto --type space --space-sdk gradio"
+echo "🚀 ☁️ Boom your SHX is ready! And now fully configured."
 echo ""
-echo "4. Add remote:"
-echo "   git remote add origin https://huggingface.co/spaces/$HF_USERNAME/SHX-Auto"
+echo "✅ PyTorch: PYTORCHVERSION"echo"✅Model:PYTORCH_VERSION" echo "✅ Model:PYTORCHV​ERSION"echo"✅Model:HF_MODEL"
+echo "✅ Hugging Face Token saved for: HF_USERNAME" echo "" echo "🛠️ Now to push your SHX Space manually to Hugging Face, follow these final steps:" echo "" echo "1. Initialize git in this folder:" echo " git init" echo "" echo "2. Commit your SHX files:" echo " git add . && git commit -m \"Initial SHX commit\"" echo "" echo "3. Create the Space manually (choose SDK: gradio/static/etc):" echo " huggingface-cli repo create SHX-Auto --type space --space-sdk gradio" echo "" echo "4. Add remote:" echo " git remote add origin https://huggingface.co/spaces/HF_USERNAME/SHX-Auto"
 echo ""
 echo "5. Push your space:"
-echo "   git branch -M main && git push -u origin main"
+echo " git branch -M main && git push -u origin main"
 echo ""
 echo "🌐 After that, visit: https://huggingface.co/spaces/$HF_USERNAME/SHX-Auto"
 echo ""

app.py

@@ -5,7 +5,7 @@ import json
 import os
 
 # Load configuration
-with open("/home/subatomicERROR/dev/shx-hfspace/shx-config.json", "r") as f:
+with open("shx-config.json", "r") as f:
     config = json.load(f)
 
 tokenizer = GPT2Tokenizer.from_pretrained(config["model_name"])

shx-setup.log

@@ -80,3 +80,127 @@ output = model.generate(
 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
+