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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+ # Image Question Answering with BLIP
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+ 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.
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+ ## Overview
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+ 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.
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+ ## How to Use
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+ Interact with the Model
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+ - Upload an Image: Click on the upload button to select an image from your device.
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+ - Ask a Question: Type your question about the image in the provided text box.
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+ - Get the Answer: Click on the "Submit" button to see the model's response.
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+ Model Details
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+ - Model: BLIP (Bootstrapped Language-Image Pretraining)
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+ - Framework: Transformers and Gradio
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+ - Functionality: The model provides answers to questions based on the content of the uploaded image.
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+ Example
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+ 1. Upload an Image: Example image of a cat.
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+ 2. Ask a Question: "Which animal is this?"
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+ 3. Response: The model will provide an answer based on the image content i.e cat.
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+ API Access:
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+ You can also use the API developed with Gradio for your own work. The API allows you to programmatically interact with the model.
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+ About Gradio:
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+ 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.
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+ Acknowledgments
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+ - Hugging Face: For providing the Space platform and the BLIP model.
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+ - Gradio: For the interactive web interface.
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+ Feedback and Support
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+ 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).
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