Update app.py

app.py

@@ -1,3 +1,60 @@
+import spaces
 import gradio as gr
+import torch
+import transformers
+from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig
+import os
 
-gr.load("models/bigcode/starcoder2-3b").launch()
+title = """# Welcome to 🌟Tonic's✨StarCoder
+✨StarCoder StarCoder2-15B model is a 15B parameter model trained on 600+ programming languages from The Stack v2, with opt-out requests excluded. The model uses Grouped Query Attention, a context window of 16,384 tokens with a sliding window attention of 4,096 tokens, and was trained using the Fill-in-the-Middle objective on 4+ trillion tokens. The model was trained with NVIDIA NeMo™ Framework using the NVIDIA Eos Supercomputer built with NVIDIA DGX H100 systems. You can build with this endpoint using✨StarCoder available here : [bigcode/starcoder2-15b](https://huggingface.co/bigcode/starcoder2-15b). You can also use ✨StarCoder by cloning this space. Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/Tonic/starcoder2?duplicate=true"><img src="https://img.shields.io/badge/-Duplicate%20Space-blue?labelColor=white&style=flat&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAAXNSR0IArs4c6QAAAP5JREFUOE+lk7FqAkEURY+ltunEgFXS2sZGIbXfEPdLlnxJyDdYB62sbbUKpLbVNhyYFzbrrA74YJlh9r079973psed0cvUD4A+4HoCjsA85X0Dfn/RBLBgBDxnQPfAEJgBY+A9gALA4tcbamSzS4xq4FOQAJgCDwV2CPKV8tZAJcAjMMkUe1vX+U+SMhfAJEHasQIWmXNN3abzDwHUrgcRGmYcgKe0bxrblHEB4E/pndMazNpSZGcsZdBlYJcEL9Afo75molJyM2FxmPgmgPqlWNLGfwZGG6UiyEvLzHYDmoPkDDiNm9JR9uboiONcBXrpY1qmgs21x1QwyZcpvxt9NS09PlsPAAAAAElFTkSuQmCC&logoWidth=14" alt="Duplicate Space"></a></h3> 
+Join us : 🌟TeamTonic🌟 is always making cool demos! Join our active builder's 🛠️community 👻 [![Join us on Discord](https://img.shields.io/discord/1109943800132010065?label=Discord&logo=discord&style=flat-square)](https://discord.gg/GWpVpekp) On 🤗Huggingface:[MultiTransformer](https://huggingface.co/MultiTransformer) Math 🔍 [introspector](https://huggingface.co/introspector) On 🌐Github: [Tonic-AI](https://github.com/tonic-ai) & contribute to🌟 [SciTonic](https://github.com/Tonic-AI/scitonic)🤗Big thanks to Yuvi Sharma and all the folks at huggingface for the community grant 🤗
+"""
+
+model_path = "bigcode/starcoder2-3b"
+
+hf_token = os.getenv("HF_TOKEN")
+if not hf_token:
+    raise ValueError("Hugging Face token not found. Please set the HF_TOKEN environment variable.")
+
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+quantization_config = BitsAndBytesConfig(load_in_8bit=True)
+model = AutoModelForCausalLM.from_pretrained( model_path, quantization_config=quantization_config)
+
+@spaces.GPU
+def generate_text(prompt, temperature=0.9, max_length=1200):
+    # Encode the inputs
+    inputs = tokenizer.encode(prompt, return_tensors="pt")
+    attention_mask = torch.ones(inputs.shape, dtype=torch.long)
+    inputs = inputs.to("cuda")
+    attention_mask = attention_mask.to("cuda")    
+    outputs = model.generate(
+        inputs, 
+        attention_mask=attention_mask,
+        max_length=max_length, 
+        top_p=0.9, 
+        temperature=temperature, 
+        do_sample=True, 
+        pad_token_id=tokenizer.eos_token_id
+    )
+    return tokenizer.decode(outputs[0])
+
+def gradio_app():
+    with gr.Blocks() as demo:
+        gr.Markdown(title)
+        prompt = gr.Code(label="Enter your code prompt", value="def print_hello_world():")
+        with gr.Row():
+            temperature = gr.Slider(minimum=0.1, maximum=1.0, step=0.1, value=0.5, label="Temperature")
+            max_length = gr.Slider(minimum=100, maximum=1024, step=10, value=200, label="Generate Length")
+        generate_btn = gr.Button("Try✨StarCoder")
+        output = gr.Code(label="✨StarCoder:", lines=40)
+
+        generate_btn.click(
+            fn=generate_text,
+            inputs=[prompt, temperature, max_length],
+            outputs=output
+        )
+
+    demo.launch()
+
+if __name__ == "__main__":
+    gradio_app()