Create app.py

app.py

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+from transformers import AutoTokenizer
+from petals import AutoDistributedModelForCausalLM
+import streamlit as st
+# Choose any model available at https://health.petals.dev
+model_name = "petals-team/StableBeluga2"  # This one is fine-tuned Llama 2 (70B)
+
+# Connect to a distributed network hosting model layers
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoDistributedModelForCausalLM.from_pretrained(model_name)
+system_prompt = "### System:\nYou are Stable Beluga, an AI that is very precise. Be as accurate as you can.\n\n"
+
+message = st.chat_input('Message')
+if message:
+    prompt = f"{system_prompt}### User: {message}\n\n### Assistant:\n"
+    # Run the model as if it were on your computer
+    inputs = tokenizer(prompt, return_tensors="pt")["input_ids"]
+    outputs = model.generate(inputs, max_new_tokens=256)
+    st.write(tokenizer.decode(outputs[0])[3:-4])