Create app.py

app.py

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+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