from transformers import pipeline, Conversation
import gradio as gr
from diffusers import DiffusionPipeline
import gradio as gr
from transformers import pipeline
import scipy
import gradio as gr
chatbot = pipeline(model="facebook/blenderbot-400M-distill")
message_list = []
response_list = []
def vanilla_chatbot(message, history):
    conversation = Conversation(text=message, past_user_inputs=message_list, generated_responses=response_list)
    bot = chatbot(conversation.messages[0]['content']) # working code
    return bot[-1]['generated_text']


model_id = "CompVis/ldm-text2im-large-256"
ldm = DiffusionPipeline.from_pretrained(model_id)
def generate_image(Prompt):
    images = ldm([Prompt], num_inference_steps=50, eta=.3, guidance_scale=6)
    return images.images[0]


synthesiser = pipeline("text-to-audio", "facebook/musicgen-small")
def generate_music(Prompt):
    music = synthesiser(Prompt, forward_params={"do_sample": True, "max_new_tokens":100})
    rate = music["sampling_rate"]
    mus = music["audio"][0].reshape(-1)
    return rate,mus