try again

app.py

@@ -2,11 +2,14 @@ import gradio as gr
 from transformers import pipeline
 
 # Load your Hugging Face model
-model = pipeline('text-generation', model='gpt2')  # Replace 'gpt2' with your model
+# pipe = pipeline("text-classification", model="davidgaofc/TechDebtClassifier")
+  # Replace 'gpt2' with your model
+def pipe(temp, temp2):
+    return temp
 
 def predict(input_text):
     # Generate output using the model
-    output = model(input_text, max_length=50)  # Adjust parameters as needed
+    output = pipe(input_text, max_length=2000)  # Adjust parameters as needed
     return output[0]['generated_text']
 
 # Create the Gradio interface