Delete app.py

app.py

@@ -1,34 +0,0 @@
-import gradio as gr
-import transformers
-from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
-
-MODEL_NAME = "OpenPeerAI/OpenPeerLLM"
-
-tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
-model = AutoModelForCausalLM.from_pretrained(MODEL_NAME, torch_dtype="autopy")
-generator = pipeline("text-generation", model=model, tokenizer=tokenizer)
-
-def chat(prompt, max_new_tokens=256, temperature=0.7):
-    outputs = generator(
-        prompt,
-        max_new_tokens=max_new_tokens,
-        temperature=temperature,
-        do_sample=True,
-        pad_token_id=tokenizer.eos_token_id
-    )
-    return outputs[0]['generated_text'][len(prompt):].strip()
-
-iface = gr.Interface(
-    fn=chat,
-    inputs=[
-        gr.Textbox(lines=4, label="Enter your prompt"),
-        gr.Slider(16, 1024, value=256, step=16, label="Max new tokens"),
-        gr.Slider(0.1, 1.5, value=0.7, step=0.05, label="Temperature")
-    ],
-    outputs="text",
-    title="OpenPeerLLM Text Demo",
-    description="Chat with OpenPeerLLM from HuggingFace!"
-)
-
-if __name__ == "__main__":
-    iface.launch()