Reddit Persona Generator

Local, end-to-end LLM pipeline: Reddit activity → structured, cited user personas

A fully local, end-to-end pipeline to transform real Reddit activity into structured user personas — using Reddit API, Python, and the Mistral LLM running via Ollama.

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📖 Project Description

Imagine being able to understand any user deeply — just by reading how they talk online.

Reddit Persona Generator does exactly that.
It takes a Reddit profile, scrapes public posts/comments, and uses a local LLM to generate a structured persona — complete with:

• Behavior patterns
• Frustrations
• Goals
• Motivations
• Tone
• Interests

…and even citations for every insight from real Reddit activity.

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💡 Why This Project Matters

LLMs are powerful — but without real-world grounding, they're just words.
This project shows how LLMs can extract genuine human insight from everyday conversations online — for use cases like:

• Personalized marketing
• User segmentation
• Behavioral analysis
• Agent customization

And the best part? It runs entirely offline, using Mistral with Ollama.

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Key Features

• Full Reddit post + comment scraping via praw
• Structured personas with 6 rich categories
• Citations for every insight (Reddit URLs)
• LLM-based generation using Mistral via Ollama (local)
• Invalid profile handling (e.g. 404s)
• Support for multiple personas per user (prompt depth demo)
• PEP8-compliant, modular Python code
• No OpenAI or cloud dependency

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🔧 Setup Instructions

1. Clone the Repo

git clone https://github.com/Divyansh-git10/Reddit-Persona-Generator.git
cd Reddit-Persona-Generator

2. Install Dependencies

pip install -r requirements.txt

3. Add .env file with Reddit credentials

CLIENT_ID=your_client_id
CLIENT_SECRET=your_client_secret
USER_AGENT=your_user_agent

How to create Reddit API keys

4. Start Ollama and pull the Mistral model

ollama run mistral

5. Run the Script

Update username = "..." in main.py and run:

python main.py

Output will be saved in /output/username_persona.txt

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Processed Reddit Users

Reddit Username	Persona Type
kojied	Urban, reflective tech worker
Hungry-Move-6603	Civic voice, realism, political concern
St0rmCh4ser	Tech & crypto guide
drywallwizard	DIY expert, knowledge sharer
TalesOfTheLost	(x2) Spiritual / WWII historian
GallowBoob	Meme king, pet lover, humorous content creator

Multiple personas for the same user (TalesOfTheLost) demonstrate prompt adaptability and persona diversity.

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⚠️ Invalid Profile Handling

The script gracefully exits if a profile doesn't exist or has no data:

Error fetching data for MasterOfNone_92: received 404 HTTP response
No data found. Skipping persona generation.

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File Structure

Reddit-Persona-Generator/
├── main.py
├── reddit_scraper.py
├── persona_generator.py
├── requirements.txt
├── README.md
├── .env                   # (excluded)
├── raw/
│   ├── kojied_raw.txt
│   ├── ...
├── output/
│   ├── kojied_persona.txt
│   ├── TalesOfTheLost_spiritual.txt
│   ├── GallowBoob_persona.txt
│   └── ...

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🤖 Tech Stack

• Python 3.11+
• praw for Reddit scraping
• ollama for local model runtime
• Mistral (7B open-weight LLM)
• .env config via python-dotenv

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🙌 Author

Divyansh Gautam AI/ML Engineer GitHub

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📌 About This Project

A focused build (completed in ~48 hours) demonstrating:

• Real-world LLM application design
• Prompt engineering for structured, cited output
• Local-first inference (Ollama + Mistral, no cloud dependency)
• Persona modeling grounded in a user's actual Reddit activity