update readme

README.md

@@ -1,35 +1,29 @@
-# ruDialoGpt3 colab for finetuning on telegram chat
-This is a ready-for-use-colab tutorial for finetuning ruDialoGpt3 model on your telegram chat using HuggingFace and PyTorch.
-
-- 🤗 [Model page](https://huggingface.co/Kirili4ik/ruDialoGpt3-medium-finetuned-telegram) 
-
-- [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1fnAVURjyZRK9VQg1Co_-SKUQnRES8l9R?usp=sharing) Colab tutorial 
-
-
-I used RuDialoGPT-3 trained on forums to fine tune. It was trained by [@Grossmend](https://github.com/Grossmend) on Russian forums. The training procedure of the model for dialogue is described in Grossmend's [blogpost](https://habr.com/ru/company/icl_services/blog/548244/) (in Russian). **I have created a simple pipeline and fine tuned that model on my own exported telegram chat (~30mb json, 3 hours of fine tuning**). It is in fact very easy to get the data from telegram and fine tune a model:
-
-1) Export your telegram chat as JSON
-
-![](https://raw.githubusercontent.com/Kirili4ik/ruDialoGpt3-finetune-colab/main/how-to-export-chat.jpg)
-
-2) Upload it to colab
-
-![](https://raw.githubusercontent.com/Kirili4ik/ruDialoGpt3-finetune-colab/main/how-to-upload-json.jpg)
-
-3) The code will create a dataset for you
-
-4) Wait a bit! 
- 
-5) :tada: (Inference and smile)
-
-Or you can just go to google colab and play with my finetuned model!:
-
-<details>
-  <summary><b>A couple of dialogue samples:</b>
-  </summary>
-  <img src="https://raw.githubusercontent.com/Kirili4ik/ruDialoGpt3-finetune-colab/main/sample1.jpg">
-  <img src="https://raw.githubusercontent.com/Kirili4ik/ruDialoGpt3-finetune-colab/main/sample2.jpg">
-</details>
-
-
-[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1fnAVURjyZRK9VQg1Co_-SKUQnRES8l9R?usp=sharing#scrollTo=psXZnJk0Eo3J) Inference part
+---
+title: Chat with Kirill
+emoji: 💬
+colorFrom: red
+colorTo: purple
+sdk: gradio
+app_file: app.py
+pinned: true
+---
+
+# Configuration
+`title`: _string_  
+Display title for the Space
+`emoji`: _string_  
+Space emoji (emoji-only character allowed)
+`colorFrom`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+`colorTo`: _string_  
+Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gray)
+`sdk`: _string_  
+Can be either `gradio` or `streamlit`
+`sdk_version` : _string_  
+Only applicable for `streamlit` SDK.  
+See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
+`app_file`: _string_  
+Path to your main application file (which contains either `gradio` or `streamlit` Python code).  
+Path is relative to the root of the repository.
+`pinned`: _boolean_  
+Whether the Space stays on top of your list.