Upload README.md

README.md

@@ -1,30 +1,10 @@
-# My Own Chatbot
-- My Own Chatbot with an interface implemented without APIs using a pre-trained model.
-
-# Why
-- Just to see if it was possible. (and to see if I could)
-
-# Model Information
-- The template I'm using is [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) by [huggingface](https://huggingface.co/) team.<br>
-- This model has: `66.4M parameters.`
-- The reason i chose this model is because i like huggingface models and because this model is a base model and very light. it can be trained and has good documentation and performance.
-- The license of this model is: `Apache 2.0`
-- The Language(s): English
-- The Model Type: Transformer-based language model.
-- The Token Limit: `512 tokens` for this model.
-# Credits
-- huggingface: by model and transformers library
-- gradio: by the gradio library making it easy to create UI for machine learning models easily.
-- pytorch: very fast and lightweight tensor framework.
-- loguru: quick and easy log library.
-- [how-to-generate#greedy-search](https://huggingface.co/blog/how-to-generate#greedy-search) a very detailed guide on huggingface's website: How to generate text: using different decoding methods for language generation with Transformers
-- [gpt2#openai-gpt2](https://huggingface.co/docs/transformers/model_doc/gpt2#openai-gpt2) gpt2 documentation made by huggingface team
-
-# Not Implemented
-- Context manager: as the token limit is low (`512 tokens`), for this project to become usable for small things, it would be necessary to implement a system to avoid overflowing too many tokens into the model.
-
-# Demonstration
-[screen-capture.webm](https://github.com/0x41337/my-own-chatbot/assets/88632118/48b97fa1-fbae-493d-8311-f6c381e13c23)
-
-# License
-- this project is under the MIT license resources used may be under other licenses.
+---
+title: "my-own-chatbot"
+emoji: "🤖"
+colorFrom: "indigo"
+colorTo: "green"
+sdk: "gradio"
+sdk_version: "1.22.0"
+app_file: app.py
+pinned: false
+---