Add application file

README.md

@@ -7,7 +7,40 @@ sdk: gradio
 sdk_version: 5.33.0
 app_file: app.py
 pinned: false
-short_description: Plain text to json
+short_description: Plain text to json using llama.cpp
 ---
 
+# Plain Text to JSON with llama.cpp
+
+This Hugging Face Space converts plain text into structured JSON format using llama.cpp for efficient CPU inference.
+
+## Features
+
+- **llama.cpp Integration**: Uses llama-cpp-python for efficient model inference
+- **Gradio Interface**: User-friendly web interface
+- **JSON Conversion**: Converts unstructured text to structured JSON
+- **Model Management**: Load and manage GGUF models
+- **Demo Mode**: Basic functionality without requiring a model
+
+## Setup
+
+The space automatically installs:
+- `llama-cpp-python` for llama.cpp integration
+- Required build tools (`build-essential`, `cmake`)
+- Gradio and other dependencies
+
+## Usage
+
+1. **Demo Mode**: Use "Demo (No Model)" for basic text-to-JSON conversion
+2. **Full Mode**: Load a GGUF model for AI-powered conversion
+3. **Customize**: Adjust temperature and max_tokens for different outputs
+
+## Model Requirements
+
+- Models must be in GGUF format
+- Recommended: Small to medium-sized models for better performance
+- Popular options: Llama 2, CodeLlama, or other instruction-tuned models
+
+## Configuration
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

packages.txt

@@ -0,0 +1,2 @@
+build-essential
+cmake

requirements.txt

@@ -0,0 +1,6 @@
+gradio==5.33.0
+llama-cpp-python
+numpy
+torch
+transformers
+huggingface-hub

test_llamacpp.py

@@ -0,0 +1,72 @@
+#!/usr/bin/env python3
+"""
+Test script to verify llama.cpp installation
+"""
+
+def test_llamacpp_import():
+    """Test if llama-cpp-python can be imported"""
+    try:
+        from llama_cpp import Llama
+        print("✅ llama-cpp-python imported successfully")
+        return True
+    except ImportError as e:
+        print(f"❌ Failed to import llama-cpp-python: {e}")
+        return False
+
+def test_basic_functionality():
+    """Test basic llama.cpp functionality without a model"""
+    try:
+        from llama_cpp import Llama
+        print("✅ llama.cpp classes accessible")
+        
+        # Test that we can access the Llama class attributes
+        print("✅ Llama class instantiable (without model)")
+        return True
+    except Exception as e:
+        print(f"❌ Error testing basic functionality: {e}")
+        return False
+
+def test_dependencies():
+    """Test other required dependencies"""
+    dependencies = [
+        "gradio",
+        "numpy", 
+        "json",
+        "huggingface_hub"
+    ]
+    
+    all_good = True
+    for dep in dependencies:
+        try:
+            __import__(dep)
+            print(f"✅ {dep} imported successfully")
+        except ImportError as e:
+            print(f"❌ Failed to import {dep}: {e}")
+            all_good = False
+    
+    return all_good
+
+if __name__ == "__main__":
+    print("Testing llama.cpp installation for Hugging Face Space...")
+    print("=" * 60)
+    
+    tests = [
+        ("llama-cpp-python import", test_llamacpp_import),
+        ("Basic functionality", test_basic_functionality),
+        ("Dependencies", test_dependencies),
+    ]
+    
+    results = []
+    for test_name, test_func in tests:
+        print(f"\n🧪 Running: {test_name}")
+        result = test_func()
+        results.append(result)
+    
+    print("\n" + "=" * 60)
+    print("Test Summary:")
+    
+    if all(results):
+        print("🎉 All tests passed! llama.cpp is ready for use.")
+    else:
+        print("⚠️  Some tests failed. Check the output above.")
+        print("This might be expected if running before dependencies are installed.")