π Add AutoExec AI full application files for Hugging Face Space
Browse files
Dockerfile
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@@ -7,6 +7,7 @@ RUN apt-get update && apt-get install -y redis-server && pip install --no-cache-
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COPY . .
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COPY . .
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COPY start.sh /start.sh
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RUN chmod +x /start.sh
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ENTRYPOINT ["/start.sh"]
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README.md
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- Streamlit UI
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- FastAPI backend
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- Celery worker (auto-task scheduling)
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- Redis server
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- SQLite memory DB
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- LangGraph JSON config
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- Dashboard for agent logs
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```bash
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uvicorn app.main:app --reload
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```
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Streamlit runs on port 7861. FastAPI on port 7860.
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---
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title: AutoExec AI
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emoji: π
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colorFrom: purple
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colorTo: indigo
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sdk: docker
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app_file: app.py
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pinned: true
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---
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# π AutoExec AI: Your Autonomous AI Business Builder
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[](https://huggingface.co/spaces/mgbam/AICEO)
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---
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AutoExec AI is a fully autonomous AI-powered startup generator that builds, optimizes, and scales digital businesses for you using:
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- π€ **LLMs** (Gemini Pro + GPT-4 fallback)
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- π **LangGraph-style multi-agent coordination**
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- π **Auto-optimization loops** (LoopAgent)
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- π§ **Persistent agent memory** using SQLite
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- βοΈ **FastAPI + Celery + Redis** for orchestration
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- π₯οΈ **Streamlit UI** for interactive control panel
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---
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## π― Key Features
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β
AI-driven product ideation by niche
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β
Copy generation: product descriptions, landing pages, emails
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β
Ad campaign builder with budget constraints
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β
LoopAgent: re-optimizes your strategy daily
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β
Scales to manage multiple businesses in parallel
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β
Includes a dashboard to inspect every agent run
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β
Full Docker deployment on Hugging Face Spaces
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---
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## π§ Tech Stack
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| Layer | Tech |
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|--------------|----------------------------------------|
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| UI | `Streamlit` |
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| Backend API | `FastAPI` |
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| Scheduler | `Celery` + `Redis` |
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| AI Models | `Gemini Pro`, `GPT-4` fallback (OpenAI) |
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| Memory | `SQLite` (persistent logging) |
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| Multi-Agent | `LangGraph-style config` |
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| Hosting | `Docker` via Hugging Face Spaces |
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---
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## π Quickstart (Dev Mode)
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```bash
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uvicorn app.main:app --reload # Start FastAPI
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celery -A celery_worker worker # Background optimization
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streamlit run dashboard.py # View agent memory logs
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```
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---
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## π Keywords for Discovery
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`AI startup launcher`, `dropshipping AI`, `auto business generator`, `LangGraph AI`, `FastAPI Streamlit startup`, `Hugging Face Docker Spaces`, `Celery Redis orchestrator`, `GPT-4 product copy`, `autonomous agents`, `AutoExec AI`
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---
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## π€ Contributing
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Feel free to fork, star, and contribute! PRs welcome.
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For collaborations, reach out via Hugging Face or [LinkedIn](https://www.linkedin.com/in/your-profile).
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git
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File without changes
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start.sh
ADDED
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@@ -0,0 +1,13 @@
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#!/bin/bash
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+
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# Start Redis server
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redis-server &
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# Start FastAPI backend
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uvicorn app.main:app --host 0.0.0.0 --port 7860 &
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# Start Celery worker
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celery -A celery_worker worker --loglevel=info &
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# Start Streamlit app
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streamlit run app.py --server.port 7861
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