Create app.py

app.py

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+import streamlit as st
+
+x = st.slider('Select a value')
+st.wriet('steve test1')
+st.write(x, 'squared is', x * x)
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+pipe = pipeline("text-generation", model="stevessschen/llama-2-7b-miniguanaco", tokenizer=tokenizer, max_length=200)
+# Run text generation pipeline with our next model
+prompt = "What is a large language model?"
+#pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer, max_length=200)
+result = pipe(f"<s>[INST] {prompt} [/INST]")
+#print(result[0]['generated_text'])
+st.wriet('steve test2')
+st.write(result[0]['generated_text'])