adding a basic working demo for sinhala GPT2

README.md

@@ -1,8 +1,8 @@
 ---
-title: SinhalaLanguageDemos
-emoji: 🌖
-colorFrom: purple
-colorTo: pink
+title: SinhalaGPT2
+emoji: 📚
+colorFrom: yellow
+colorTo: green
 sdk: streamlit
 app_file: app.py
 pinned: false

app.py

@@ -0,0 +1,28 @@
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
+
+st.title('Sinhala Text generation with GPT2')
+st.markdown('A simple demo using Sinhala-gpt2 model trained during hf-flax week')
+
+seed = st.text_input('Starting text', 'ආයුබෝවන්')
+seq_num = st.number_input('Number of sentences to generate ', 1, 20, 5)
+max_len = st.number_input('Length of the sentence ', 5, 300, 100)
+
+go = st.button('Generate')
+
+st.write('Waiting for the model to load.....')
+model = AutoModelForCausalLM.from_pretrained('flax-community/Sinhala-gpt2')
+tokenizer = AutoTokenizer.from_pretrained('flax-community/Sinhala-gpt2')
+st.write('Model loaded!!')
+
+if go:
+    try:
+        generator = pipeline('text-generation', model=model, tokenizer=tokenizer)
+        seqs = generator(seed, max_length=max_len, num_return_sequences=seq_num)
+        st.write(seqs)
+    except Exception as e:
+        st.exception(f'Exception: {e}')
+
+st.markdown('____________')
+st.markdown('by Keshan with Flax Community')
+

requirements.txt

@@ -0,0 +1,5 @@
+transformers
+streamlit
+jax
+torch
+flax