Create app.py

app.py

@@ -0,0 +1,35 @@
+import gradio as gr
+from transformers import AutoTokenizer
+from quantizer import load_quantized_model
+import torch
+
+title = """# 🙋🏻‍♂️Welcome to 🌟Tonic's 2-Bit Llama2 on GPU-Zero! """
+description = """
+this model a 2 bit quantized model using [QuIP for all](https://github.com/chu-tianxiang/QuIP-for-all/. You can try out [keyfan/Qwen-72B-Chat-2bit](https://huggingface.co/keyfan/Qwen-72B-Chat-2bit) below or try it locally by cloning or duplicating this space.  Simply click here: <a style="display:inline-block" href="https://huggingface.co/spaces/Tonic/StableMed_Chat?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 on 👻Discord: [Discord](https://discord.gg/GWpVpekp) On 🤗Huggingface: [TeamTonic](https://huggingface.co/TeamTonic) & [MultiTransformer](https://huggingface.co/MultiTransformer) On 🌐Github: [Polytonic](https://github.com/tonic-ai) & contribute to 🌟 [PolyGPT](https://github.com/tonic-ai/polygpt-alpha)
+"""
+# Load the quantized model
+quant_dir = "llama-70b_2bit_quip"
+quant_model = load_quantized_model(quant_dir).cuda()
+tokenizer = AutoTokenizer.from_pretrained(quant_dir)
+
+def generate_text(input_text):
+    input_ids = tokenizer.encode(input_text, return_tensors="pt").cuda()
+    output_ids = quant_model.generate(input_ids, do_sample=True)[0]
+    return tokenizer.decode(output_ids)
+
+with gr.Blocks() as demo:
+    gr.Markdown(title)
+    gr.Markdown(description)
+    with gr.Row():
+        input_text = gr.Textbox(label="Enter text here", placeholder="Type something...", lines=2)
+        submit_button = gr.Button("Generate")
+    output_text = gr.Textbox(label="Generated Text", readonly=True)
+
+    submit_button.click(
+        fn=generate_text,
+        inputs=input_text,
+        outputs=output_text
+    )
+
+demo.launch()