Update app.py

app.py

@@ -106,34 +106,11 @@ def ner_drugs(text):
 med_iface = gr.Interface(fn=ner_drugs,inputs = "text",outputs=["text"],title="Drugs Named Entity Recognition").queue()
 
 
-from diffusers import StableDiffusionPipeline
-
-#pip install accelerate
-
-#pip install --user 
-
-#pip install --user torch==1.7.0+cu110 torchvision==0.8.1+cu110 torchaudio===0.7.0 -f https://download.pytorch.org/whl/torch_stable.html
-
-pipe = StableDiffusionPipeline.from_pretrained('CompVis/stable-diffusion-v1-4')
-
-
-
-# Initialize a prompt
-def stable_image(text):
-  prompt = text
-  # Pass the prompt in the pipeline
-  return pipe(prompt).images[0]
-
-
-
-import gradio as gr
-stable_iface = gr.Interface(fn=stable_image, inputs= ["text"],outputs=gr.Image(type="pil"),title="Text To Image").queue()
-
 
 
 demo = gr.TabbedInterface(
 
-    [txtgen_iface, sum_iface, med_iface,stable_iface], ["Text Generation", "Summary Generation", "Drug Named-entity recognition","Text To Image"],
+    [txtgen_iface, sum_iface, med_iface], ["Text Generation", "Summary Generation", "Drug Named-entity recognition"],
     title="All the Models of UWC",
 
 )