Spaces:
Sleeping
Sleeping
| title: Que Ans | |
| emoji: 🐨 | |
| colorFrom: yellow | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 4.42.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference | |
| # Image Question Answering with BLIP | |
| Welcome to the Image Question Answering Space! This Hugging Face Space demonstrates a BLIP (Bootstrapped Language-Image Pretraining) model for answering questions about images. The application uses Gradio to provide an interactive web interface. | |
| ## Overview | |
| This Space allows users to upload an image and ask a question about it. The BLIP model processes the image and question to generate an answer. The model has been deployed using Gradio for easy interaction. | |
| ## How to Use | |
| Interact with the Model | |
| - Upload an Image: Click on the upload button to select an image from your device. | |
| - Ask a Question: Type your question about the image in the provided text box. | |
| - Get the Answer: Click on the "Submit" button to see the model's response. | |
| Model Details | |
| - Model: BLIP (Bootstrapped Language-Image Pretraining) | |
| - Framework: Transformers and Gradio | |
| - Functionality: The model provides answers to questions based on the content of the uploaded image. | |
| Example | |
| 1. Upload an Image: Example image of a cat. | |
| 2. Ask a Question: "Which animal is this?" | |
| 3. Response: The model will provide an answer based on the image content i.e cat. | |
| API Access: | |
| You can also use the API developed with Gradio for your own work. The API allows you to programmatically interact with the model. | |
| About Gradio: | |
| Gradio provides a simple way to create web interfaces for machine learning models. It enables easy sharing and interaction with models through a user-friendly web application. | |
| Acknowledgments | |
| - Hugging Face: For providing the Space platform and the BLIP model. | |
| - Gradio: For the interactive web interface. | |
| Feedback and Support | |
| If you encounter any issues or have suggestions for improvement, please reach out through the Hugging Face discussion forums or file an issue on the [GitHub repository](https://github.com/avinash4002/image_qna). | |