import gradio as gr  #provides a chatbot interface
# import random removed because we want to generate an acftual response not just yes or no.
from huggingface_hub import InferenceClient
client=InferenceClient("microsoft/phi-4") #allows it to access a pre trained model so we don't have to train it from scratch
def respond_yes_no_randomly(message,history):
    messages=[{'role':'system', 'content':'You are a friendly chatbot'}] #lets the user know theirs and the chatbot's role
    if history:
        messages.extend(history) #going to keep on extending history the more you interact
    messages.append({'role':'user','content':message})
    response = client.chat_completion(
        messages,
        max_tokens = 100  #can be changed, in real life it would use over 500, this just tells the chatbot to use max 100 words
    )
    return response['choices'][0]['message']['content'].strip() #going to clean it up, remove spaces and take key words to know what your actual message is about
    #return random.choice(responses) #basically getting my chatbot to echo my message back to me, and remember our messages
chatbot=gr.ChatInterface(respond_yes_no_randomly,type="messages",title="friendlyy chatbot")  #This is my chatbot ui convo history and user input
chatbot.launch()  #We are going