Delete app.py

app.py

@@ -1,46 +0,0 @@
-
-import gradio as gr
-from unsloth import FastLanguageModel
-import torch 
-from transformers import TextStreamer
-
-model, tokenizer = FastLanguageModel.from_pretrained(
-    model_name = "/content/lora_model", 
-    max_seq_length = 2048,
-    dtype = torch.float16,
-    load_in_4bit = True,
-)
-FastLanguageModel.for_inference(model) 
-
-def predict(input_text):
-    messages = [
-        {"from": "human", "value": input_text},
-    ]
-    inputs = tokenizer.apply_chat_template(
-        messages,
-        tokenize=True,
-        add_generation_prompt=True,  
-        return_tensors="pt",
-    ).to("cuda")
-
-    outputs = model.generate(
-        input_ids=inputs,
-        max_new_tokens=128,
-        use_cache=True
-    )
-    
-    decoded_output = tokenizer.batch_decode(outputs, skip_special_tokens=True)
-    assistant_response = decoded_output[0].split('assistant
-')[-1].strip()
-    
-    return assistant_response
-
-iface = gr.Interface(
-    fn=predict,
-    inputs="text",
-    outputs="text",
-    title="Parviz(eng) Chatbot",
-    description="A simple chatbot interface using FastLanguageModel.",
-)
-
-iface.launch()