Create README.md

README.md

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+---
+thumbnail: https://cdn.discordapp.com/app-icons/870239976690970625/c02cae78ae105f07969cfd8f8ea3d0a0.png
+tags:
+- conversational
+license: mit
+---
+An generative AI made using [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small).
+
+Trained on:
+
+     https://www.kaggle.com/Cornell-University/movie-dialog-corpus
+
+     https://www.kaggle.com/jef1056/discord-data
+
+
+
+Important:
+
+      The AI can be a bit weird at times as it is still undergoing training!
+      
+      At times it send stuff using :<random_wierd_words>: as they are discord emotes.
+      
+      It also send random @RandomName as it is trying to ping people.
+      
+      This works well on discord but on the web not so much but it is easy enough to remove such stuff using [re.sub](https://docs.python.org/3/library/re.html#re.sub)
+  
+
+
+Issues:
+
+     The AI like with all conversation AI lacks a character, it changes its name way too often. This can be solved using an AIML chatbot to give it a stable character!
+     
+[Live Demo](https://dumbot-331213.uc.r.appspot.com/)
+ 
+Example:
+```python
+from transformers import AutoTokenizer, AutoModelWithLMHead
+  
+tokenizer = AutoTokenizer.from_pretrained("deepparag/DumBot")
+model = AutoModelWithLMHead.from_pretrained("deepparag/DumBot")
+# Let's chat for 4 lines
+for step in range(4):
+    # encode the new user input, add the eos_token and return a tensor in Pytorch
+    new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
+    # print(new_user_input_ids)
+    # append the new user input tokens to the chat history
+    bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids
+    # generated a response while limiting the total chat history to 1000 tokens, 
+    chat_history_ids = model.generate(
+        bot_input_ids, max_length=200,
+        pad_token_id=tokenizer.eos_token_id,  
+        no_repeat_ngram_size=4,       
+        do_sample=True, 
+        top_k=100, 
+        top_p=0.7,
+        temperature=0.8
+    )
+    
+    # pretty print last ouput tokens from bot
+    print("DumBot: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))
+```