Added README.md.

README.md

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+---
+title: LLM-Enhanced Internet Search Agent
+emoji: 🕵🏻‍♂️
+colorFrom: indigo
+colorTo: indigo
+sdk: gradio
+sdk_version: 5.25.2
+app_file: app.py
+pinned: false
+hf_oauth: true
+# optional, default duration is 8 hours/480 minutes. Max duration is 30 days/43200 minutes.
+hf_oauth_expiration_minutes: 480
+---
+
+# LLM-Enhanced Internet Search Agent
+
+This agent uses a two-step approach to answer questions:
+
+1. **Question Breakdown**: The agent first uses an LLM (GPT-3.5) to break down complex questions into 2-3 key search queries
+2. **Targeted Search**: Each search query is sent to Wikipedia's API to retrieve relevant information
+3. **Answer Synthesis**: The agent then uses the LLM to synthesize a comprehensive answer based on all search results
+
+## Features
+
+- **Smart Query Generation**: Transforms natural language questions into optimized search queries
+- **Parallel Search Processing**: Searches for multiple key aspects of the question simultaneously
+- **Knowledge Synthesis**: Combines information from multiple sources into a cohesive answer
+- **Fallback Mechanisms**: Graceful handling of errors at each step of the process
+
+## Setup Requirements
+
+1. Clone this repository
+2. Install required packages: `pip install -r requirements.txt`
+3. Set your OpenAI API key as an environment variable: `OPENAI_API_KEY=your-api-key`
+
+## How It Works
+
+1. User submits a question
+2. LLM breaks down the question into key search terms
+3. Search terms are used to query Wikipedia API
+4. Results from multiple searches are collected
+5. LLM synthesizes the information into a comprehensive answer
+6. Answer is returned to the user
+
+This approach is more effective than direct internet searches because:
+- It identifies the most relevant aspects of complex questions
+- It can break multi-part questions into their components
+- It leverages the LLM's understanding of natural language
+- It provides more targeted and accurate search results
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference