Delete app.py

app.py

@@ -1,30 +0,0 @@
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-# Load model and tokenizer
-model_id = "ananddey/gemma-3-ad-finetuned"
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(model_id)
-
-def generate_text(prompt, max_length=100, temperature=0.7):
-    inputs = tokenizer(prompt, return_tensors="pt")
-    outputs = model.generate(
-        inputs.input_ids,
-        max_length=max_length,
-        temperature=temperature,
-        do_sample=True,
-    )
-    return tokenizer.decode(outputs[0], skip_special_tokens=True)
-
-# Create Gradio interface
-demo = gr.Interface(
-    fn=generate_text,
-    inputs=[
-        gr.Textbox(lines=5, placeholder="Enter your prompt here..."),
-        gr.Slider(minimum=10, maximum=500, value=100, label="Max Length"),
-        gr.Slider(minimum=0.1, maximum=1.0, value=0.7, label="Temperature")
-    ],
-    outputs="text"
-)
-
-demo.launch(share=True)