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--- |
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title: ReAct - Reasoning Modes Comparison |
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emoji: 🧠 |
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colorFrom: blue |
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colorTo: purple |
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sdk: gradio |
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sdk_version: 4.44.0 |
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app_file: app.py |
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pinned: false |
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license: mit |
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--- |
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# 🧠 LLM Reasoning Modes Comparison |
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This Space demonstrates and compares three different reasoning paradigms for Large Language Models using **openai/gpt-oss-20b**: |
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## 🎯 Reasoning Modes |
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### 1. **Think-Only** (Chain-of-Thought) |
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- Uses internal reasoning and knowledge only |
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- Shows step-by-step thought process |
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- No external tool access |
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- Best for: Problems solvable with general knowledge |
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### 2. **Act-Only** (Tool Use) |
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- Uses external tools to gather information |
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- Shows actions and observations only |
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- Minimal explicit reasoning |
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- Best for: Fact-checking and real-time data retrieval |
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### 3. **ReAct** (Reasoning + Acting) |
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- Interleaves Thought → Action → Observation |
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- Combines reasoning with tool use |
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- Most comprehensive approach |
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- Best for: Complex problems requiring both reasoning and external data |
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## 🛠️ Available Tools |
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The agent has access to these real external tools: |
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- **🔍 DuckDuckGo Search**: Web search for current information |
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- **📚 Wikipedia Search**: Detailed encyclopedic knowledge |
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- **🌤️ Weather API**: Real-time weather data for any location |
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- **🧮 Calculator**: Safe mathematical expression evaluation |
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- **🐍 Python REPL**: Execute Python code for data processing |
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## 🚀 How to Use |
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1. Enter your question in the text box |
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2. Select a reasoning mode (or "All" to compare) |
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3. Click "Run" to see the agent work in real-time |
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4. Watch as thoughts, actions, and observations unfold |
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## 📝 Example Questions |
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- "What is the capital of France and what's the current weather there?" |
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- "Who wrote 'To Kill a Mockingbird' and when was it published?" |
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- "Calculate the compound interest on $1000 at 5% annual rate for 3 years" |
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- "What is the population of Tokyo and how does it compare to New York City?" |
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## 🔧 Setup |
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To run this Space, you need to set your Hugging Face token: |
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1. Go to Space Settings → Repository Secrets |
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2. Add a secret named `HF_TOKEN` with your Hugging Face API token |
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3. The Space will automatically use this token to access the model |
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## 📚 Technical Details |
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- **Model**: openai/gpt-oss-20b (via Hugging Face Inference API) |
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- **Framework**: Gradio for the UI |
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- **Agent Format**: Inspired by smolagents/ReAct paradigm |
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- **Streaming**: Real-time display of intermediate steps |
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## 🎓 Learn More |
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This implementation demonstrates the ReAct (Reason + Act) paradigm described in: |
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- Yao et al. (2022) "ReAct: Synergizing Reasoning and Acting in Language Models" |
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The three modes show how different combinations of reasoning and tool use affect problem-solving capabilities. |
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## 📄 License |
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MIT License - feel free to use and modify! |
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