resolve Readme.md issues

.github/README.md

@@ -0,0 +1,80 @@
+# Axiom - A Docs Expert Agent
+
+Axiom is an AI Docs Agent built with LangGraph, MCP Docs, Chainlit and Gemini, designed to help users create different projects using natural language.
+
+## Features
+
+- 🤖 Interactive chat interface
+- 📚 Access to multiple documentation sources
+- 🎨 Support for image processing and analysis
+- 📈 Use images and graphs to create production-ready code
+- 🛠️ Customizable model settings (temperature, model version)
+- 🌐 Docker support for containerized deployment
+
+## Documentation Sources
+
+The agent has access to following documentations:
+- LangGraph Python
+- CrewAI
+- Model Context Protocol (MCP)
+- Chainlit
+- FastHTML
+- Supabase
+- Pinecone
+- Composio
+- Clerk Auth
+- Stack Auth
+- Mem0
+- Zep
+
+## Prerequisites
+
+*   UV package manager
+*   Python 3.11+
+*   Docker (optional): If you intend to use the `Dockerfile`, you'll need Docker installed.
+
+## Installation
+
+1. Clone the repository:
+```bash
+git clone https://github.com/aasherkamal216/Axiom.git
+cd Axiom
+```
+
+2. Create and Activate Virtual Environment:
+```bash
+uv venv
+.venv\Scripts\activate # For Windows
+source .venv/bin/activate # for Mac
+```
+
+3. Install dependencies:
+```bash
+uv sync
+```
+
+4. Set up environment variables:
+```bash
+cp .env.example .env
+```
+Add your API keys in `.env` file. 
+
+## Usage
+### Run the application:
+- First run the MCP Doc server:
+```bash
+uv run mcpdoc --yaml docs_config.yaml --transport sse --port 8082 --host localhost
+```
+- Then run chainlit interface:
+```bash
+uv run chainlit run app.py -w
+```
+
+The application will be available at `http://localhost:8000`.
+
+### Building the Docker image (Optional)
+Alternatively, you can use Docker to run the application:
+```bash
+docker build -t axiom .
+docker run -p 7860:7860 -p 8082:8082 axiom
+```

.huggingface/README.md

@@ -1 +0,0 @@
-include: README_spaces.md

README.md

@@ -1,80 +1,10 @@
-# Axiom - A Docs Expert Agent
-
-Axiom is an AI Docs Agent built with LangGraph, MCP Docs, Chainlit and Gemini, designed to help users create different projects using natural language.
-
-## Features
-
-- 🤖 Interactive chat interface
-- 📚 Access to multiple documentation sources
-- 🎨 Support for image processing and analysis
-- 📈 Use images and graphs to create production-ready code
-- 🛠️ Customizable model settings (temperature, model version)
-- 🌐 Docker support for containerized deployment
-
-## Documentation Sources
-
-The agent has access to following documentations:
-- LangGraph Python
-- CrewAI
-- Model Context Protocol (MCP)
-- Chainlit
-- FastHTML
-- Supabase
-- Pinecone
-- Composio
-- Clerk Auth
-- Stack Auth
-- Mem0
-- Zep
-
-## Prerequisites
-
-*   UV package manager
-*   Python 3.11+
-*   Docker (optional): If you intend to use the `Dockerfile`, you'll need Docker installed.
-
-## Installation
-
-1. Clone the repository:
-```bash
-git clone https://github.com/aasherkamal216/Axiom.git
-cd Axiom
-```
-
-2. Create and Activate Virtual Environment:
-```bash
-uv venv
-.venv\Scripts\activate # For Windows
-source .venv/bin/activate # for Mac
-```
-
-3. Install dependencies:
-```bash
-uv sync
-```
-
-4. Set up environment variables:
-```bash
-cp .env.example .env
-```
-Add your API keys in `.env` file. 
-
-## Usage
-### Run the application:
-- First run the MCP Doc server:
-```bash
-uv run mcpdoc --yaml docs_config.yaml --transport sse --port 8082 --host localhost
-```
-- Then run chainlit interface:
-```bash
-uv run chainlit run app.py -w
-```
-
-The application will be available at `http://localhost:8000`.
-
-### Building the Docker image (Optional)
-Alternatively, you can use Docker to run the application:
-```bash
-docker build -t axiom .
-docker run -p 7860:7860 -p 8082:8082 axiom
-```
+---
+title: Documentations Agent
+emoji: 🏢
+colorFrom: purple
+colorTo: yellow
+sdk: docker
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

README_spaces.md

@@ -1,10 +0,0 @@
----
-title: Documentations Agent
-emoji: 🏢
-colorFrom: purple
-colorTo: yellow
-sdk: docker
-pinned: false
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference