Spaces:
Runtime error
Runtime error
| title: "DocBot: Smart Document ChatBot" | |
| emoji: 🤖 | |
| colorFrom: indigo | |
| colorTo: purple | |
| sdk: streamlit | |
| sdk_version: "0.87.0" | |
| app_file: app.py | |
| pinned: false | |
| # 🤖 DocBot: Smart Document ChatBot | |
| DocBot is an intelligent document processing application with a chatbot interface. It can process various types of documents, including PDFs and images, extract essential information, and enable user interaction through a chat interface. | |
| ## ⭐️ Features | |
| - **Document Upload**: Upload PDF, PNG, JPG, or JPEG files for processing. | |
| - **Text Extraction**: Extract text content from uploaded documents. | |
| - **Image Processing**: Convert PDF documents to images and extract text from images. | |
| - **Chatbot Interface**: Interact with the document through a chatbot interface powered by Groq. | |
| - **Natural Language Understanding**: Utilizes spaCy for natural language processing. | |
| - **Dynamic Progress Bar**: Visual feedback on document processing progress. | |
| - **Error Handling**: Provides error messages for any processing failures. | |
| ## ⚙️ Installation | |
| 1. Clone the repository: | |
| ```bash | |
| git clone https://github.com/yourusername/docbot.git | |
| ``` | |
| 2. Install the required Python packages: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| 3. Set up the environment variables: | |
| Create a `.env` file in the root directory and add the following: | |
| ```dotenv | |
| GROQ_API_KEY='your_groq_api_key' | |
| ``` | |
| 4. Run the Streamlit app: | |
| ```bash | |
| streamlit run app.py | |
| ``` | |
| ## 🚀 Usage | |
| 1. Run the Streamlit app using the provided installation instructions. | |
| 2. Upload your document using the file uploader. | |
| 3. Wait for the document to be processed. | |
| 4. Interact with the document by asking questions in the chatbot interface. | |
| ## 💻 Technologies Used | |
| - [Streamlit](https://streamlit.io/) - For building the interactive web application. | |
| - [PyPDF2](https://pythonhosted.org/PyPDF2/) - For PDF document processing. | |
| - [pdf2image](https://github.com/Belval/pdf2image) - For converting PDFs to images. | |
| - [PyMuPDF](https://pypi.org/project/PyMuPDF/) - For PDF document rendering. | |
| - [Tesseract OCR](https://github.com/tesseract-ocr/tesseract) - For extracting text from images. | |
| - [spaCy](https://spacy.io/) - For natural language processing. | |
| - [Groq](https://github.com/groq/groq-py) - For AI-powered chatbot interaction. | |
| - [Pillow](https://python-pillow.org/) - For image processing. | |