Create app.py

app.py

@@ -0,0 +1,21 @@
+import streamlit as st
+from transformers import pipeline
+from transformers import AutoModelWithLMHead, AutoTokenizer
+import torch
+tokenizer = AutoTokenizer.from_pretrained("flan-alpaca-base")
+model = AutoModelWithLMHead.from_pretrained("flan-alpaca-base")
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+print("Is cuda available:", torch.cuda.is_available())
+model = model.to(device)
+
+
+text = st.text_area("Enter your text:")
+
+if text:
+    # model = pipeline(model="flan-alpaca-xl")
+    #model(prompt, max_length=128, do_sample=True)
+    input_text = "question: %s " % (text)
+    features = tokenizer([input_text], return_tensors='pt')
+    out = model.generate(input_ids=features['input_ids'].to(device), attention_mask=features['attention_mask'].to(device))
+    if tokenizer.decode(out[0]):
+        st.json(tokenizer.decode(out[0]))