"Feat: Add python code for AI_CHATBOT"

Use pipeline class of transfomer library from hugging face to access Facebook's distillBert model which generates conversation. Use Gradio for UI interface.

app.py

@@ -0,0 +1,17 @@
+from transformers import pipeline, Conversation
+import gradio as gr
+
+Chatbot = pipeline(task = "conversational", model ="facebook/blenderbot-400M-distill")
+ #text, get it from user from gradio
+
+message_list = []
+response_list = []
+
+def mini_chatbot(message, history):
+    conversation = Conversation(text = message, 
+                                past_user_inputs = message_list, 
+                                generated_responses = response_list)
+    response = Chatbot(conversation)
+    return response.generated_responses[-1]
+demo_chatbot = gr.ChatInterface(mini_chatbot, title="AI Chatbot" , description="Enter text to CHAT with AI")
+demo_chatbot.launch()