Update README and add Hugging Face configuration

- Update README to reflect primary support for OpenRouter models
- Add Hugging Face configuration file for deployment
- Update default persona and repository URL
- Clarify backend options and dependencies

README.md

@@ -1,11 +1,11 @@
 # 🤖 LLMates – Chat with Custom AI Personas
 
-LLMates is a minimal, modular chatbot application that allows you to switch between different AI assistant personas powered by language models. The application supports both cloud-based (OpenAI) and local (Ollama) model backends.
+LLMates is a minimal, modular chatbot application that allows you to switch between different AI assistant personas powered by OpenRouter's language models. The application also supports OpenAI and local models via Ollama as alternative backends.
 
 ## 🚀 Features
 
 - Multiple AI personas with distinct personalities and expertise
-- Support for OpenAI models (including GPT-4o) and local models via Ollama
+- Primary support for OpenRouter's wide range of models (including GPT-4, Claude, and more)
 - Simple and intuitive Gradio-based web interface
 - Easy configuration through environment variables
 
@@ -13,14 +13,14 @@ LLMates is a minimal, modular chatbot application that allows you to switch betw
 
 - **Python Tutor**: Get help with Python programming concepts and debugging
 - **Regex Helper**: Expert assistance with regular expressions
-- **Motivational Coach**: Encouraging and inspiring conversations
+- **Motivational Coach**: Encouraging and inspiring conversations (default)
 - **Startup Advisor**: Practical advice for startups and entrepreneurship
 
 ## 🛠️ Installation
 
 1. Clone the repository:
    ```bash
-   git clone https://github.com/yourusername/llmates.git
+   git clone https://github.com/sanchitv7/llmates.git
    cd llmates
    ```
 
@@ -33,19 +33,26 @@ LLMates is a minimal, modular chatbot application that allows you to switch betw
 
 ## ⚙️ Configuration
 
-Copy the example `.env` file and update it with your settings:
+Copy the example `.env` file and update it with your preferred settings:
 
 ```env
-# OpenAI Configuration (required if not using Ollama)
-OPENAI_API_KEY=your_openai_api_key
-OPENAI_MODEL=gpt-4o  # or any other OpenAI model
+# Choose one of the following backends
 
-# Ollama Configuration (set to true to use local models)
-USE_OLLAMA=false
-OLLAMA_MODEL=llama3  # or any other Ollama model
+## OpenRouter
+USE_OPENROUTER=true
+OPENROUTER_API_KEY=your_openrouter_api_key
+OPENROUTER_MODEL=meta-llama/llama-3-70b-instruct  # or openai/gpt-4, anthropic/claude-3-opus, google/gemini-pro, etc.
+
+## Ollama
+# USE_OLLAMA=false
+# OLLAMA_MODEL=llama3
+
+## OpenAI
+# OPENAI_API_KEY=your_openai_api_key
+# OPENAI_MODEL=gpt-4o
 
 # Application Settings
-DEFAULT_PERSONA="Python Tutor"
+DEFAULT_PERSONA="Motivational Coach"
 TEMPERATURE=0.7
 MAX_TURNS=10
 ```
@@ -63,6 +70,8 @@ The application will start a local web server, and you can access it in your bro
 ## 🛠️ Tech Stack
 
 - **UI**: Gradio
-- **Backend**: OpenAI API / Ollama
+- **Primary Backend**: OpenRouter (with support for 100+ models)
+- **Alternative Backends**: OpenAI API, Ollama
 - **Language**: Python 3.8+
 - **Configuration**: Environment variables via python-dotenv
+- **Dependencies**: openai, gradio, python-dotenv, requests

huggingface.yaml

@@ -0,0 +1,3 @@
+sdk: gradio
+app_file: app.py
+python_version: 3.13