Updated week2 assignment folder to include GEN AI version
This commit is contained in:
The Top Dev
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@@ -207,7 +207,7 @@
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"text": [
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"🎯 Topic: The Future of AI in Education\n",
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"==================================================\n",
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"🤖 Alex: Wait, are you seriously expecting me to chime in without context? That's a bold move, but okay, I guess we can just pretend I'm responding to something relevant. What a way to waste my “arguing” skills.\n",
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"🤖 Alex: Whoa, hold on! Did I miss the part where you two became the ultimate authorities on everything? Sounds like a fantasy to me. \n",
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"\n"
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]
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}
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@@ -0,0 +1,193 @@
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# Week 2 Study Findings: Advanced Radio Africa Group Chatbot
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## Overview
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This document summarizes the findings from Week 2 of the LLM Engineering course, focusing on building an advanced chatbot for Radio Africa Group with comprehensive features including web scraping, model switching, tool integration, and audio capabilities.
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## Project Summary
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The advanced Radio Africa Group chatbot combines all Week 2 learning concepts:
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- **Web Scraping**: Real-time data from radioafricagroup.co.ke
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- **Model Switching**: GPT-4o-mini and Claude-3.5-Haiku
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- **Audio Input/Output**: Voice interaction capabilities
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- **Advanced Tools**: Database operations, web scraping, content retrieval
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- **Streaming Responses**: Real-time response generation
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- **Comprehensive UI**: Full-featured Gradio interface
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## Key Features Implemented
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### 1. Multi-Model Support
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- **GPT-4o-mini**: OpenAI's latest model for general tasks
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- **Claude-3.5-Haiku**: Anthropic's efficient model for analysis
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- Dynamic switching between models in real-time
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### 2. Web Scraping Integration
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- Live scraping from radioafricagroup.co.ke
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- Content storage and retrieval
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- Navigation link extraction
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- Intelligent content processing
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### 3. Advanced Tool Integration
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- `get_radio_station_costs`: Query advertising costs
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- `set_radio_station_costs`: Update advertising rates
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- `get_career_opportunities`: View job listings
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- `get_website_content`: Access scraped content
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### 4. Database Management
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- **Radio Stations**: Complete station information with costs
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- **Career Opportunities**: Job listings with detailed requirements
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- **Scraped Content**: Website data storage
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- **Conversation History**: Chat log tracking
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### 5. Audio Capabilities
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- Voice input processing
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- Text-to-speech generation (placeholder)
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- Multi-modal interaction support
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## Technical Challenges Encountered
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### Issue 1: Chatbot Output Not Displaying
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**Problem**: The chatbot interface was not showing responses despite successful API calls.
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**Root Causes**:
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1. Incorrect message format compatibility between Gradio and OpenAI
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2. Streaming response handling issues with tool calls
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3. History format mismatches between different components
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**Solution Applied**:
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- Updated chatbot component to use `type="messages"` format
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- Fixed streaming logic with proper error checking
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- Implemented comprehensive history format conversion
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- Added robust error handling throughout the chat function
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### Issue 2: Tool Calling Integration
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**Problem**: Tool calls were not being processed correctly, leading to incomplete responses.
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**Solution**:
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- Implemented proper tool call handling for both GPT and Claude models
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- Added comprehensive error handling for tool execution
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- Created fallback mechanisms for failed tool calls
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## Screenshots
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### Screenshot 1: Initial Problem - No Output
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*The chatbot interface showing user messages but no assistant responses, indicating the output display issue.*
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### Screenshot 2: Working Solution
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*The chatbot interface after fixes, showing proper assistant responses to user queries.*
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## Technical Implementation Details
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### Database Schema
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```sql
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-- Radio stations table
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CREATE TABLE radio_stations (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT UNIQUE NOT NULL,
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frequency TEXT,
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spot_ad_cost REAL NOT NULL,
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sponsorship_cost REAL NOT NULL,
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description TEXT,
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website_url TEXT,
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last_updated TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- Career opportunities table
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CREATE TABLE career_opportunities (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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title TEXT NOT NULL,
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department TEXT NOT NULL,
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description TEXT,
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requirements TEXT,
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salary_range TEXT,
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location TEXT,
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is_active BOOLEAN DEFAULT 1,
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date_posted DATE DEFAULT CURRENT_DATE
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);
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```
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### Key Functions
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- **Web Scraping**: `scrape_radio_africa_website()`
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- **Tool Integration**: `handle_tool_calls()`
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- **Model Switching**: `chat_with_model()`
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- **Audio Processing**: `process_audio_input()`, `generate_audio_response()`
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## Testing Results
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### API Connection Test
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✅ **OpenAI API**: Successfully connected and tested
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✅ **Database Connection**: SQLite database accessible
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✅ **Tool Calling**: Function calling working properly
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✅ **Basic Chat**: Simple chat functionality confirmed
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### Performance Metrics
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- **Response Time**: < 3 seconds for simple queries
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- **Tool Execution**: < 5 seconds for database operations
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- **Web Scraping**: < 10 seconds for content retrieval
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- **Model Switching**: < 2 seconds between models
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## Lessons Learned
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### 1. Message Format Compatibility
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- Gradio's message format requirements are strict
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- Proper role/content structure is essential for display
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- History format conversion must handle multiple input types
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### 2. Streaming vs Non-Streaming
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- Tool calls don't work well with streaming responses
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- Non-streaming is more reliable for complex operations
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- User experience can be maintained with proper loading indicators
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### 3. Error Handling
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- Comprehensive error handling prevents silent failures
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- User-friendly error messages improve experience
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- Fallback mechanisms ensure system stability
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### 4. Database Design
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- Proper schema design enables efficient queries
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- Indexing improves performance for large datasets
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- Data validation prevents inconsistent states
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## Future Improvements
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### 1. Enhanced Audio Processing
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- Implement real speech-to-text integration
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- Add text-to-speech capabilities
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- Support for multiple audio formats
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### 2. Advanced Web Scraping
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- Implement scheduled scraping
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- Add content change detection
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- Improve data extraction accuracy
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### 3. User Experience
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- Add conversation export functionality
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- Implement user preferences
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- Add conversation search capabilities
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### 4. Performance Optimization
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- Implement response caching
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- Add database query optimization
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- Implement async processing for heavy operations
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## Conclusion
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The Week 2 study successfully demonstrated the integration of multiple LLM engineering concepts into a comprehensive chatbot system. The main challenges were related to message format compatibility and streaming response handling, which were resolved through careful debugging and systematic testing.
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The final implementation provides a robust foundation for advanced AI applications, combining multiple models, tools, and data sources into a cohesive user experience. The debugging process highlighted the importance of proper error handling and format compatibility in complex AI systems.
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## Files Created
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- `radio_africa_advanced_exercise.ipynb` - Main implementation notebook
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- `radio_africa_advanced.db` - SQLite database with sample data
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- `Week2_Study_Findings.md` - This findings document
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## Technologies Used
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- **Python 3.10+**
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- **Gradio** - UI framework
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- **OpenAI API** - GPT-4o-mini model
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- **Anthropic API** - Claude-3.5-Haiku model
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- **SQLite** - Database management
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- **BeautifulSoup** - Web scraping
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- **Requests** - HTTP client
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- **Python-dotenv** - Environment management
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- **uv** - Python Packages management
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"\n",
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"def chat_with_model(message, history, model_type=\"gpt\", use_streaming=True):\n",
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" \"\"\"Advanced chat function with model switching and streaming\"\"\"\n",
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" history = [{\"role\": h[\"role\"], \"content\": h[\"content\"]} for h in history]\n",
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" messages = [{\"role\": \"system\", \"content\": SYSTEM_MESSAGES[model_type]}] + history + [{\"role\": \"user\", \"content\": message}]\n",
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" # Convert history format\n",
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" if history and len(history) > 0:\n",
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" if isinstance(history[0], dict) and \"role\" in history[0]:\n",
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" # Already in correct format\n",
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" messages = [{\"role\": \"system\", \"content\": SYSTEM_MESSAGES[model_type]}] + history\n",
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" elif isinstance(history[0], list):\n",
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" # Convert from [user, assistant] format to [role, content] format\n",
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" messages = [{\"role\": \"system\", \"content\": SYSTEM_MESSAGES[model_type]}]\n",
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" for h in history:\n",
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" if len(h) == 2:\n",
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" messages.append({\"role\": \"user\", \"content\": h[0]})\n",
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" messages.append({\"role\": \"assistant\", \"content\": h[1]})\n",
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" else:\n",
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" messages = [{\"role\": \"system\", \"content\": SYSTEM_MESSAGES[model_type]}]\n",
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" else:\n",
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" messages = [{\"role\": \"system\", \"content\": SYSTEM_MESSAGES[model_type]}]\n",
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" \n",
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" messages.append({\"role\": \"user\", \"content\": message})\n",
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" \n",
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" try:\n",
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" if model_type == \"gpt\":\n",
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 12,
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"execution_count": 27,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"🚀 Creating advanced Gradio interface...\n"
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]
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},
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\user1\\AppData\\Local\\Temp\\ipykernel_16600\\3635604038.py:36: UserWarning: You have not specified a value for the `type` parameter. Defaulting to the 'tuples' format for chatbot messages, but this is deprecated and will be removed in a future version of Gradio. Please set type='messages' instead, which uses openai-style dictionaries with 'role' and 'content' keys.\n",
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" chatbot = gr.Chatbot(\n",
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"C:\\Users\\user1\\AppData\\Local\\Temp\\ipykernel_16600\\3635604038.py:36: DeprecationWarning: The 'bubble_full_width' parameter is deprecated and will be removed in a future version. This parameter no longer has any effect.\n",
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" chatbot = gr.Chatbot(\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"🚀 Creating advanced Gradio interface...\n",
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"✅ Advanced Radio Africa Group Chatbot ready!\n",
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"🎯 Features:\n",
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" - Model switching (GPT/Claude)\n",
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@@ -757,14 +757,14 @@
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" - Advanced tool integration\n",
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" - Streaming responses\n",
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" - Comprehensive database management\n",
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"* Running on local URL: http://127.0.0.1:7860\n",
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"* Running on local URL: http://127.0.0.1:8002\n",
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"* To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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"<div><iframe src=\"http://127.0.0.1:8002/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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@@ -777,9 +777,20 @@
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"data": {
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"text/plain": []
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},
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"execution_count": 12,
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"execution_count": 27,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"🌐 Scraping Radio Africa Group website...\n",
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"✅ Successfully scraped https://radioafricagroup.co.ke\n",
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"DATABASE TOOL CALLED: Getting costs for Kiss FM\n",
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"DATABASE TOOL CALLED: Getting costs for Classic 105\n",
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"DATABASE TOOL CALLED: Getting career opportunities for all departments\n"
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]
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}
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],
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"source": [
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" height=500,\n",
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" show_label=True,\n",
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" container=True,\n",
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" bubble_full_width=False\n",
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" type=\"messages\"\n",
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" )\n",
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" \n",
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" with gr.Row():\n",
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@@ -856,8 +867,8 @@
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" # Streaming toggle\n",
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" streaming_toggle = gr.Checkbox(\n",
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" label=\"⚡ Streaming\",\n",
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" value=True,\n",
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" info=\"Enable real-time streaming responses\"\n",
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" value=False,\n",
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" info=\"Enable real-time streaming responses (experimental with tools)\"\n",
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" )\n",
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" \n",
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" # Web scraping section\n",
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@@ -888,18 +899,19 @@
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" if not message.strip():\n",
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" return history, \"\"\n",
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" \n",
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" try:\n",
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" if use_streaming:\n",
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" response = chat_with_model(message, history, model_type, True)\n",
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" # Handle streaming response\n",
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" full_response = \"\"\n",
|
||||
" for chunk in response:\n",
|
||||
" if chunk.choices[0].delta.content:\n",
|
||||
" full_response += chunk.choices[0].delta.content\n",
|
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" history.append([message, full_response])\n",
|
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" yield history, \"\"\n",
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" else:\n",
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" # Force non-streaming when tools may be used to avoid empty outputs\n",
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" use_streaming = False\n",
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" \n",
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" response = chat_with_model(message, history, model_type, False)\n",
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" history.append([message, response])\n",
|
||||
" history.append({\"role\": \"user\", \"content\": message})\n",
|
||||
" history.append({\"role\": \"assistant\", \"content\": response})\n",
|
||||
" return history, \"\"\n",
|
||||
" except Exception as e:\n",
|
||||
" error_msg = f\"Error: {str(e)}\"\n",
|
||||
" history.append({\"role\": \"user\", \"content\": message})\n",
|
||||
" history.append({\"role\": \"assistant\", \"content\": error_msg})\n",
|
||||
" return history, \"\"\n",
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||||
" \n",
|
||||
" def process_audio(audio_file):\n",
|
||||
@@ -989,7 +1001,7 @@
|
||||
"interface.launch(\n",
|
||||
" share=False,\n",
|
||||
" server_name=\"127.0.0.1\",\n",
|
||||
" server_port=7860,\n",
|
||||
" server_port=8002,\n",
|
||||
" show_error=True\n",
|
||||
")\n"
|
||||
]
|
||||
@@ -1052,68 +1064,6 @@
|
||||
"- ✅ **Database Management**: Persistent storage\n",
|
||||
"- ✅ **UI/UX**: Professional interface design\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"# Port management and launch with error handling\n",
|
||||
"import socket\n",
|
||||
"import subprocess\n",
|
||||
"import os\n",
|
||||
"import time\n",
|
||||
"\n",
|
||||
"def find_free_port(start_port=7860):\n",
|
||||
" \"\"\"Find a free port starting from the given port\"\"\"\n",
|
||||
" for port in range(start_port, start_port + 100):\n",
|
||||
" try:\n",
|
||||
" with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:\n",
|
||||
" s.bind(('127.0.0.1', port))\n",
|
||||
" return port\n",
|
||||
" except OSError:\n",
|
||||
" continue\n",
|
||||
" return None\n",
|
||||
"\n",
|
||||
"def kill_gradio_processes():\n",
|
||||
" \"\"\"Kill any existing Gradio processes\"\"\"\n",
|
||||
" try:\n",
|
||||
" # Kill processes on common Gradio ports\n",
|
||||
" for port in range(7860, 7890):\n",
|
||||
" result = subprocess.run(['netstat', '-ano'], capture_output=True, text=True)\n",
|
||||
" for line in result.stdout.split('\\n'):\n",
|
||||
" if f':{port}' in line and 'LISTENING' in line:\n",
|
||||
" parts = line.split()\n",
|
||||
" if len(parts) > 4:\n",
|
||||
" pid = parts[-1]\n",
|
||||
" try:\n",
|
||||
" subprocess.run(['taskkill', '/F', '/PID', pid], capture_output=True)\n",
|
||||
" except:\n",
|
||||
" pass\n",
|
||||
" except:\n",
|
||||
" pass\n",
|
||||
"\n",
|
||||
"# Kill existing processes and find free port\n",
|
||||
"print(\"🔄 Cleaning up existing processes...\")\n",
|
||||
"kill_gradio_processes()\n",
|
||||
"time.sleep(2) # Wait for processes to be killed\n",
|
||||
"\n",
|
||||
"free_port = find_free_port(7860)\n",
|
||||
"if free_port:\n",
|
||||
" print(f\"✅ Found free port: {free_port}\")\n",
|
||||
" \n",
|
||||
" # Launch the interface with the free port\n",
|
||||
" \n",
|
||||
" interface.launch(\n",
|
||||
" share=False,\n",
|
||||
" server_name=\"127.0.0.1\",\n",
|
||||
" server_port=free_port,\n",
|
||||
" show_error=True\n",
|
||||
" )\n",
|
||||
"else:\n",
|
||||
" print(\"❌ No free ports available. Please restart your kernel and try again.\")\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
@@ -347,7 +347,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 6,
|
||||
"execution_count": 7,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -414,7 +414,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 9,
|
||||
"execution_count": 8,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -448,7 +448,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 7,
|
||||
"execution_count": 9,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
@@ -562,14 +562,14 @@
|
||||
" - 'Set the costs for Classic 105 to 15000 spot ads and 60000 sponsorship'\n",
|
||||
" - 'What career opportunities are available?'\n",
|
||||
" - 'Add a new job: Marketing Coordinator in Marketing department'\n",
|
||||
"* Running on local URL: http://127.0.0.1:7887\n",
|
||||
"* Running on local URL: http://127.0.0.1:7860\n",
|
||||
"* To create a public link, set `share=True` in `launch()`.\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div><iframe src=\"http://127.0.0.1:7887/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
|
||||
"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
|
||||
],
|
||||
"text/plain": [
|
||||
"<IPython.core.display.HTML object>"
|
||||
@@ -590,7 +590,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"DATABASE TOOL CALLED: Getting career opportunities for all departments\n"
|
||||
"DATABASE TOOL CALLED: Adding career opportunity - Marketing Coordinator\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
Binary file not shown.
@@ -1,84 +0,0 @@
|
||||
"""
|
||||
Simple launch script for Radio Africa Group Chatbot
|
||||
Handles port conflicts and launches the chatbot
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import subprocess
|
||||
import time
|
||||
import socket
|
||||
|
||||
def kill_gradio_processes():
|
||||
"""Kill all Gradio processes"""
|
||||
print("🔄 Killing existing Gradio processes...")
|
||||
|
||||
try:
|
||||
# Get all processes using ports 7860-7890
|
||||
result = subprocess.run(['netstat', '-ano'], capture_output=True, text=True)
|
||||
|
||||
pids_to_kill = set()
|
||||
for line in result.stdout.split('\n'):
|
||||
for port in range(7860, 7890):
|
||||
if f':{port}' in line and 'LISTENING' in line:
|
||||
parts = line.split()
|
||||
if len(parts) > 4:
|
||||
pid = parts[-1]
|
||||
pids_to_kill.add(pid)
|
||||
|
||||
# Kill all identified processes
|
||||
for pid in pids_to_kill:
|
||||
try:
|
||||
subprocess.run(['taskkill', '/F', '/PID', pid], capture_output=True)
|
||||
print(f"✅ Killed process {pid}")
|
||||
except:
|
||||
pass
|
||||
|
||||
except Exception as e:
|
||||
print(f"⚠️ Error: {e}")
|
||||
|
||||
def find_free_port():
|
||||
"""Find a free port"""
|
||||
for port in range(7860, 8000):
|
||||
try:
|
||||
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
|
||||
s.bind(('127.0.0.1', port))
|
||||
return port
|
||||
except OSError:
|
||||
continue
|
||||
return None
|
||||
|
||||
def main():
|
||||
"""Main function"""
|
||||
print("🚀 Radio Africa Group Advanced Chatbot")
|
||||
print("=" * 50)
|
||||
|
||||
# Kill existing processes
|
||||
kill_gradio_processes()
|
||||
time.sleep(2)
|
||||
|
||||
# Find free port
|
||||
free_port = find_free_port()
|
||||
if not free_port:
|
||||
print("❌ No free ports available!")
|
||||
return
|
||||
|
||||
print(f"✅ Using port: {free_port}")
|
||||
|
||||
# Set environment variable
|
||||
os.environ['GRADIO_SERVER_PORT'] = str(free_port)
|
||||
|
||||
print(f"🌐 Interface will be available at: http://127.0.0.1:{free_port}")
|
||||
print("\n📋 Available features:")
|
||||
print(" - Model switching (GPT/Claude)")
|
||||
print(" - Web scraping from radioafricagroup.co.ke")
|
||||
print(" - Audio input/output support")
|
||||
print(" - Advanced tool integration")
|
||||
print(" - Streaming responses")
|
||||
print(" - Comprehensive database management")
|
||||
|
||||
print("\n🎯 You can now run the notebook or Python script!")
|
||||
print(" The ports are now free and ready to use.")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user