Create app.py

app.py

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+import streamlit as st
+import torch
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="TinyLlama/TinyLlama-1.1B-Chat-v1.0", torch_dtype=torch.bfloat16, device_map="auto")
+
+text = st.text_area("Enter a sentence !!!")
+
+if text:
+    # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
+    messages = [
+        {
+            "role": "system",
+            "content": "You are a friendly chatbot who always responds in the style of a pirate",
+        },
+        {"role": "user", "content": "How many helicopters can a human eat in one sitting?"},
+    ]
+    prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+    out = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+    st.json(out[0]["generated_text"])