Update app.py

app.py

@@ -1,13 +1,13 @@
 import gradio as gr
-from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM, TextGenerationPipeline
+from transformers import AutoTokenizer, AutoModelForCausalLM, TextGenerationPipeline
 
+# Load the model and tokenizer
 model = AutoModelForCausalLM.from_pretrained('cbauer/groupchatGPT', trust_remote_code=True, ignore_mismatched_sizes=True)
 tokenizer = AutoTokenizer.from_pretrained('cbauer/groupchatGPT')
 
+# Initialize the Text Generation pipeline
 generator = TextGenerationPipeline(model=model, tokenizer=tokenizer)
 
-generator = pipeline('text-generation', model=model, trust_remote_code=True)
-
 def generate(text):
     result = generator(text, max_length=30, num_return_sequences=1)
     return result[0]["generated_text"]
@@ -19,9 +19,9 @@ examples = [
 
 demo = gr.Interface(
     fn=generate,
-    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
-    outputs=gr.outputs.Textbox(label="Generated Text"),
+    inputs=gr.components.Textbox(lines=5, label="Input Text"),
+    outputs=gr.components.Textbox(label="Generated Text"),
     examples=examples
 )
 
-demo.launch()
+demo.launch()