Initial Space setup

app.py

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+import gradio as gr
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+MODEL_NAME = "AdhamAshraf/SlangGPT"
+
+tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
+
+model = AutoModelForCausalLM.from_pretrained(
+    MODEL_NAME,
+    low_cpu_mem_usage=True
+)
+
+def generate_text(prompt):
+    inputs = tokenizer(prompt, return_tensors="pt")
+
+    outputs = model.generate(
+        **inputs,
+        max_new_tokens=50,
+        do_sample=True,
+        temperature=0.8,
+        top_p=0.95
+    )
+
+    return tokenizer.decode(outputs[0], skip_special_tokens=True)
+
+iface = gr.Interface(
+    fn=generate_text,
+    inputs="text",
+    outputs="text",
+    title="SlangGPT"
+)
+
+iface.launch()

requirements.txt

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+gradio
+transformers
+torch
+accelerate
+sentencepiece