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title: Multimodal Vision Insight
emoji: 🔍
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 3.45.2
app_file: app.py
pinned: true
license: apache-2.0
Explore the world of multimodal interactions with the Multimodal Vision Insight (MVI) application. With the power of Vision Language Models (VLMs), MVI provides an interface for users to interact with text and images seamlessly. Built on top of Gradio, this application serves as a bridge between human inputs and machine understanding, fostering a cooperative environment for solving real-world tasks.
Check out the configuration reference for more details on configuring your space.
Features:
- Multimodal Interaction: Engage in a conversation with the model using both text and images.
- Real-time Feedback: Receive instant responses from the model to navigate through tasks efficiently.
- High-Resolution Image Understanding: Utilize high-resolution images for fine-grained recognition and understanding, enhancing the quality of interaction.
- User-Friendly Interface: With a clean and intuitive UI, exploring multimodal interactions has never been easier.
Usage:
- Input your text or upload an image to start the conversation.
- Use the available controls to navigate through the conversation, regenerate responses, or clear the history.
- Explore the potential of Vision Language Models in understanding and interacting with multimodal data.
Developers:
Developed by Keyvan Hardani (Keyvven on Twitter). Special thanks to @Artificialguybr for the inspiration from his code.
Acknowledgments:
This project is powered by Alibaba Cloud's Qwen-VL, a state-of-the-art multimodal large vision language model.
Feel free to explore, contribute, and raise issues on the project repository.