Feedback: guides-dialogue-data

Documentation Feedback

Original URL: https://www.assemblyai.com/docs/guides/dialogue-data
Category: guides
Generated: 05/08/2025, 4:41:51 pm

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Claude Sonnet 4 Feedback

Generated: 05/08/2025, 4:41:50 pm

Technical Documentation Analysis & Feedback

Overall Assessment

This documentation provides a functional example but suffers from several clarity, completeness, and usability issues that could frustrate users. Here’s my detailed analysis:

🚨 Critical Issues

1. Missing Prerequisites & Setup

• Problem: No clear system requirements or installation instructions
• Fix: Add a prerequisites section:

## Prerequisites
- Python 3.7+
- AssemblyAI Python SDK: `pip install assemblyai`
- Valid AssemblyAI API key with LeMUR access
- Audio files in supported formats (MP3, WAV, M4A, etc.)

2. Incomplete Error Handling

• Problem: Code will crash on common issues (invalid JSON, missing files, API errors)
• Fix: Add comprehensive error handling:

try:
    interviewee_data = json.loads(result.response)
except json.JSONDecodeError as e:
    print(f"Failed to parse JSON for transcript {transcript.id}: {e}")
    print(f"Raw response: {result.response}")
    continue
except Exception as e:
    print(f"Error processing transcript: {e}")
    continue

📝 Content Issues

3. Typo and Language Problems

• Typo: “resopnses” → “responses” (Introduction paragraph)
• Inconsistent terminology: “Transcript Group” vs “transcript group”
• Unclear phrasing: “to two pricing tiers” should be “in two pricing tiers”

4. Missing Context and Explanations

Add Directory Structure Example:

## Expected Directory Structure

project-folder/ ├── interviews/ │ ├── interview1.mp3 │ ├── interview2.wav │ └── interview3.m4a ├── your_script.py └── profiles.csv (generated)

Explain Key Concepts:

### What is LeMUR?
LeMUR (Leveraging Large Language Models to Understand Recognized Speech) allows you to apply AI reasoning to your transcribed audio without managing the transcription separately.

### Why JSON Format?
JSON formatting enables:
- Structured data extraction
- Easy integration with databases
- Programmatic processing of results

🔧 Code Improvements

5. Enhanced Code with Better Practices

import assemblyai as aai
import json
import os
import csv
from typing import List, Dict, Any

# Configuration
aai.settings.api_key = os.getenv("ASSEMBLYAI_API_KEY", "your_api_key")
INTERVIEWS_DIR = "interviews"
OUTPUT_FILE = "profiles.csv"

def validate_setup() -> bool:
    """Validate that required setup is complete."""
    if not os.path.exists(INTERVIEWS_DIR):
        print(f"Error: Directory '{INTERVIEWS_DIR}' not found")
        return False

    audio_files = [f for f in os.listdir(INTERVIEWS_DIR)
                  if f.lower().endswith(('.mp3', '.wav', '.m4a', '.flac'))]
    if not audio_files:
        print(f"Error: No audio files found in '{INTERVIEWS_DIR}'")
        return False

    print(f"Found {len(audio_files)} audio files to process")
    return True

def process_interviews():
    if not validate_setup():
        return

    # Process transcriptions...

6. Add Progress Indicators

print("Prompting LeMUR")
total_transcripts = len(transcript_group)
for i, transcript in enumerate(transcript_group, 1):
    print(f"Processing transcript {i}/{total_transcripts}...")
    # ... processing code

📋 Structure Improvements

7. Reorganize Content Flow

# Extract Dialogue Data with LeMUR and JSON

## Overview
Brief explanation of what this guide accomplishes

## Prerequisites
[New section with requirements]

## Quick Start
[Existing code block]

## Understanding the Components
[New section explaining LeMUR, JSON formatting, etc.]

## Step-by-Step Implementation
[Improved existing section]

## Common Issues and Troubleshooting
[New section]

## Next Steps
[New section with related guides]

8. Add Troubleshooting Section

## Common Issues and Troubleshooting

### Issue: "No audio files found"
- **Cause**: Directory doesn't exist or contains no supported audio files
- **Solution**: Ensure your `interviews` directory contains .mp3, .wav, or other supported formats

### Issue: JSON parsing errors
- **Cause**: LeMUR returned invalid JSON or included extra text
- **Solution**: Refine your prompt to be more specific about JSON-only output

### Issue: API rate limits
- **Cause**: Processing too many files simultaneously
- **Solution**: Add delays between requests or implement batch processing

🎯 User Experience Enhancements

9. Add Expected Output Examples

## Expected Output

Your `profiles.csv` file will contain:
```csv
Name,Position,Past Experience
John Smith,software engineer,three years of experience at Google
Jane Doe,product manager,five years in fintech startups

### 10. **Include Related Resources**
```markdown
## Next Steps
- [LeMUR Advanced Features](link-to-advanced-guide)
- [Working with Different Audio Formats](link-to-audio-guide)
- [Integrating with Databases](link-to-database-guide)
- [LeMUR Pricing and Limits](link-to-pricing)

🔍 Additional Recommendations

1. Add code comments explaining complex operations
2. Include sample audio files or links to test data
3. Show alternative prompt examples for different use cases
4. Add performance considerations (file size limits, processing time)
5. Include links to API reference for advanced users

These improvements would transform this from a basic code example into comprehensive, user-friendly documentation that guides users through both the “how” and “why” of the implementation.

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