Delete app.py

app.py

@@ -1,42 +0,0 @@
-import gradio as gr
-from transformers import AutoTokenizer, AutoModelForCausalLM
-
-model_id = "alibidaran/Gemma2_Farsi"
-
-
-tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(model_id, device_map='cpu')
-model = model.to("cpu")
-
-def generate_response(prompt):
-    text = f"<s> ###Human: {prompt} ###Assistant: "
-    inputs = tokenizer(text, return_tensors='pt').to('cpu')
-
-    outputs = model.generate(
-        **inputs,
-        max_new_tokens=512,
-        do_sample=True,
-        top_p=0.9,
-        top_k=50,
-        temperature=0.7,
-        output_scores=True,
-        return_dict_in_generate=True
-    )
-
-    response = tokenizer.decode(outputs['sequences'][0], skip_special_tokens=True)
-    return response
-
-with gr.Blocks(theme=gr.themes.Base(), css=".gr-block {background-color: #f7f7f7; border-radius: 10px;}") as demo:
-    gr.Markdown("## مدل زبانی فارسی ")
-
-    with gr.Row():
-        with gr.Column(scale=1):
-            user_input = gr.Textbox(label="Enter your question in Farsi", placeholder="یه چی بگو", lines=3)
-        with gr.Column(scale=1):
-            response_output = gr.Textbox(label="جواب ", lines=10)
-
-    generate_button = gr.Button("جواب بده")
-
-    generate_button.click(fn=generate_response, inputs=user_input, outputs=response_output)
-
-demo.launch()