Debugged app.py

app.py

@@ -1,23 +1,5 @@
-"""from fastai.vision.all import *
 import gradio as gr
-
-learn = load_learner('tokenizer.model')
-
-categories = ('Rasam', 'Sambar')
-
-def classify_image(img):
-  pred, idx, probs = learn.predict(img)
-  return dict(zip(categories, map(float, probs)))
-
-image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
-examples = ['sambar.jpg', 'rasam.jpg']
-
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
-intf.launch()"""
-
-import gradio as gr
-"""import transformers
+import transformers
 from transformers import AutoTokenizer
 import torch
 from diffusers.utils.torch_utils import randn_tensor
@@ -49,17 +31,4 @@ def debate_response(text):
     return resposnse
 
 intf = gr.Interface(fn=debate_response, inputs=gr.Textbox(), outputs="text")
-intf.launch()"""
-
-# import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!"
-
-demo = gr.Interface(
-    fn=greet,
-    inputs=gr.Textbox(lines=2, placeholder="Name Here..."),
-    outputs="text",
-)
-if __name__ == "__main__":
-    demo.launch()
+intf.launch()