Update README.md

README.md

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----
-title: GPT-OSS Research Assistant
-emoji: 🎓
-colorFrom: blue
-colorTo: purple
-sdk: gradio
-sdk_version: 5.44.1
-app_file: app.py
-pinned: false
-license: openrail
----
+# README.md
+# AI Research Assistant
 
-# 🎓 GPT-OSS Research Assistant
-
-An advanced AI assistant with academic research capabilities powered by GPT-OSS 20B model.
+This is an AI-powered research assistant that helps you quickly gather and analyze information on any topic. It combines web search capabilities with advanced language models to provide structured, cited research summaries.
 
 ## Features
 
-### 🤖 Core AI Capabilities
-- **GPT-OSS 20B Model**: Powerful language understanding and generation
-- **Streaming Responses**: Real-time response generation
-- **Conversation Memory**: Context-aware dialogue management
-
-### 🔍 Research & Academic Tools
-- **Web Search**: Integrated Tavily search engine
-- **Academic Paper Analysis**: arXiv and Semantic Scholar integration
-- **PDF Processing**: Direct analysis of research documents
-- **Literature Reviews**: Automated literature review generation
-- **Citation Management**: Bibliography and citation generation
-- **URL Analysis**: Process any webpage or document URL
-
-### 🛠️ Advanced Features
-- **Research Mode**: Specialized handling for academic queries
-- **Export Functionality**: Save conversations in JSON/Text formats
-- **Follow-up Questions**: AI-suggested next questions
-- **Dark/Light Theme**: Customizable interface
-- **Rate Limiting**: Prevent API abuse
-- **Usage Analytics**: Track performance metrics
+- **Web Search Integration**: Uses Tavily API to find recent and relevant information
+- **AI Analysis**: Processes information using a custom large language model
+- **Citation Management**: Automatically tracks and formats sources
+- **Structured Output**: Organizes information into clear sections
+- **Streaming Updates**: Shows progress during processing
+- **Logging**: Comprehensive logging for debugging and monitoring
 
-### 📊 User Experience
-- **Tabbed Interface**: Organized chat and research tools
-- **Feedback System**: Rate response quality
-- **Export Options**: Save your research
-- **Responsive Design**: Works on all devices
+## How to Use
 
-## Getting Started
+1. Enter a research question in the input box
+2. Click "Research" or press Enter
+3. Watch the progress indicators as your research is processed
+4. Get a comprehensive analysis with sources
 
-1. Set your `HF_TOKEN` environment variable
-2. Install dependencies: `pip install -r requirements.txt`
-3. Run the app: `python app.py`
-
-## Usage Tips
+## Example Queries
 
-- Enable **Research Mode** for academic queries
-- Use the **Research Tools** tab for advanced analysis
-- Process PDF URLs directly for document analysis
-- Generate literature reviews for research topics
-- Export your conversations for later reference
+- "Latest advancements in quantum computing"
+- "Impact of climate change on global agriculture"
+- "Recent developments in Alzheimer's treatment research"
 
-## API Requirements
+## Setup for Local Development
 
-- **Hugging Face Token**: For model access
-- **Tavily API Key**: For web search (optional but recommended)
+1. Install requirements: `pip install -r requirements.txt`
+2. Set environment variables:
+   - `TAVILY_API_KEY`=your_tavily_api_key
+   - `HF_TOKEN`=your_huggingface_token
+3. Run the app: `python app.py`
 
-## Model Information
+## Environment Variables
 
-**Primary Model**: `DavidAU/OpenAi-GPT-oss-20b-abliterated-uncensored-NEO-Imatrix-gguf`
+For deployment on Hugging Face Spaces, you need to set:
+- `TAVILY_API_KEY`: Your Tavily API key for web search
+- `HF_TOKEN`: Your Hugging Face access token for model access
 
-This model provides powerful language understanding capabilities for research and general conversation.
+These should be added as Secrets in your Space settings.