requirements.txt

transformers
torch
gradio

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+model_name = "m-a-p/MegaBeam-Mistral-7B"
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    trust_remote_code=True,
+    device_map="auto"
+)
+
+pipe = pipeline("text-generation", model=model, tokenizer=tokenizer)
+
+def chat(prompt):
+    output = pipe(prompt, max_new_tokens=512, temperature=0.7)
+    return output[0]['generated_text']
+
+iface = gr.Interface(fn=chat, inputs="text", outputs="text", title="MegaBeam Chat 512K")
+iface.launch()