Update app.py

app.py

@@ -7,7 +7,7 @@ hf_token = os.getenv("hf_token")
 generator = pipeline("text-generation", model="isitcoding/gpt2_120_finetuned", use_auth_token=hf_token)
 
 # Define the response function with additional options for customization
-def text_generation(
+'''def text_generation(
     prompt: str,
     details: bool = False,
     stream: bool = False,
@@ -68,3 +68,13 @@ iface = gr.Interface(
 
 # Launch the interface
 iface.launch()
+'''
+
+# Test model generation
+def generate_response(prompt):
+    response = generator(prompt, max_length=50)
+    return response[0]["generated_text"]
+
+# Gradio interface
+import gradio as gr
+gr.Interface(fn=generate_response, inputs="text", outputs="text").launch()