Create app.py

app.py

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+from transformers import AutoTokenizer, AutoModelForCausalLM
+from peft import PeftModel
+import accelerate
+import streamlit as st
+
+st.set_page_config(page_title = "Q&A Demo")
+st.header("Langchain Application")
+
+model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0").cuda()
+tokenizer = AutoTokenizer.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0")
+
+title = st.text_input("Title : ")
+prompt = tokenizer.apply_chat_template([
+        {"role": "system", "content": "You are an experienced researcher and a reviewer of scientific papers. Given a title of the paper, write a review about it in one sentence."},
+        {"role": "user", "content": title}
+    ], tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
+generate_ids = model.generate(inputs.input_ids, max_new_tokens=50, do_sample=True, temperature=0.5, top_k=50, top_p=0.95)
+
+submit = st.button("Submit")
+
+if submit:
+    st.subheader("Reviewer #2:")
+    st.write(tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0])