Got chatgpt to write me some code

app.py

@@ -1,8 +1,6 @@
 import gradio as gr
 import transformers
 from transformers import AutoTokenizer
-import torch
-from diffusers.utils.torch_utils import randn_tensor
 
 model = "Glasshes/debate_v3.1_model"
 tokenizer = AutoTokenizer.from_pretrained(model)
@@ -12,17 +10,27 @@ pipeline = transformers.pipeline(
     device_map="auto",
 )
 
-def debate_response(text):
+def generate_text(text):
     sequences = pipeline(
-        "hello \n",
+        text,
         do_sample=True,
         top_k=10,
         num_return_sequences=1,
         eos_token_id=tokenizer.eos_token_id,
-        max_length=100,
+        max_length=500,
     )
-    return "testing"
-    
+    response = ""
+    for seq in sequences:
+        generated_text = seq['generated_text']
+        print(f"Result: {generated_text}")
+        response += generated_text
+    return response
 
-intf = gr.Interface(fn=debate_response, inputs=gr.Textbox(), outputs="text")
-intf.launch()
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=gr.Textbox(),
+    outputs=gr.Textbox(),
+    live=True,
+)
+
+iface.launch()