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README.md

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-title: TSAI S18
+title: TSAI S19
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 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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+# The School of AI - ERA(Extensive & Reimagined AI Program) - Assignment 19
+
+This folder consists of Assignment-19 from ERA course offered by - TSAI(The school of AI). 
+Follow https://theschoolof.ai/ for more updates on TSAI
+
+Assignment-19
+Make a CLIP or FastSAM application on gradio/spaces using open-source models. 
+- You may use the open source pre-trained models for CLIP or FastSAM
+
+### Implementation and Results:
+Implemented a simple gradio interface on higgingface and Github. Used a pretrained CLIP model from https://github.com/openai/CLIP. Model has been pretrained on Coco Dataset
+
+HF Link: https://huggingface.co/spaces/ToletiSri/TSAI_S19
+Github Link: https://github.com/ToletiSri/TSAI_ERA_Assignments/tree/main/S19
+
+Add any image that belongs to one of the 80 Coco datasets, in the input image box
+Add some captions for this image. The results(output text box) shown are the likelihood percentage that the image belongs to one of these captions.