AutoReport-AI

Interactive AI-powered report generator with visualizations and export to PDF/PPTX/HTML. Built with Streamlit and OpenAI.

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AutoReport-AI is an interactive Streamlit application that automatically generates insightful reports from CSV or Excel datasets using artificial intelligence. Key features include:

• 📊 Data summarization using GPT-4 (OpenAI) to describe the dataset's structure, columns, statistics, and more.
• 📈 Automatic visualizations for all numeric variables with histograms and boxplots.
• 🖼️ AI-generated image based on the data description using DALL·E.
• 🧠 Python code generation with GPT-4 to build custom visualizations.
• 📤 Export options: create reports in PDF, PowerPoint, and HTML formats.

Ideal for data analysts, data scientists, and non-technical users who need to quickly turn data into beautiful, shareable reports — without writing code manually.

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🧠 AutoReport-AI

AutoReport-AI is an interactive Streamlit application that automates the generation of data reports using artificial intelligence. It analyzes datasets, creates visualizations, and exports complete reports in PDF, PowerPoint, and HTML formats — all without writing code.

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🚀 Features

🔄 Data Handling

• Upload .csv or .xlsx datasets.
• Preview the dataset in a friendly Streamlit interface.

📝 AI-Powered Data Summary

• Uses GPT-4 (OpenAI) to generate a descriptive summary:
  • Describes each column.
  • Explains ranges, measures, and distributions.
  • Available in English or Spanish.

📊 Automatic Visualizations

• Creates:
  • Histograms and boxplots for all numeric columns (via Plotly).
  • Additional matplotlib plots generated dynamically by GPT-4.
• All plots are rendered live and saved as .png.

🎨 DALL·E Integration

• Generates a unique image that visually represents the dataset based on its description using DALL·E.

📁 Export Options

• Export the full report in:
  • PDF
  • PowerPoint (.pptx)
  • HTML
• Each export includes:
  • Summary, visualizations, code-generated charts, and DALL·E image.

🧩 Other Features

• Allows uploading of additional .txt files (description.txt, summary.txt) to manually provide summaries.
• All files (uploaded data, generated images, reports, plots) are saved in the same folder where the app is executed, making them easily accessible after the session ends.
• Supports multiple report generation workflows in the same run.

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🛠️ Installation

1. Clone the repository:

git clone https://github.com/your-username/AutoReport-AI.git
cd AutoReport-AI

2. Create a virtual environment and activate it (optional but recommended):

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install the dependencies:

pip install -r requirements.txt

4. Set your OpenAI API key:

# Inside the code (temporarily, or replace with environment variable):
openai.api_key = "your-openai-api-key"

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▶️ Running the App

streamlit run main.py

Then open the app in your browser (usually http://localhost:8501).

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📦 Requirements

Make sure you have the following Python libraries:

• streamlit
• pandas
• plotly
• fpdf
• matplotlib
• openai
• Pillow
• python-pptx
• requests

You can install them all via:

pip install -r requirements.txt

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📸 Screenshots

Coming soon...

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📄 License

MIT License ©bermejo4

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🤖 Powered by

• OpenAI GPT-4
• Streamlit
• Plotly
• DALL·E

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