Create app.py

app.py

@@ -0,0 +1,51 @@
+import gradio as gr
+import re
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
+from sheet2api import Sheet2APIClient
+from datetime import datetime
+from custom_functions import preprocessing_text
+
+client = Sheet2APIClient(api_url='https://sheet2api.com/v1/hwp4AVQlOawy/summarizer')
+
+def generate_summary(text):
+
+    client.create_row(row={'Timestamp': str(datetime.now())})
+
+    clean_text = preprocessing_text(text)
+
+    WHITESPACE_HANDLER = lambda k: re.sub('\s+', ' ', re.sub('\n+', ' ', k.strip()))
+
+    model_name = "csebuetnlp/mT5_multilingual_XLSum"
+    tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=False) # use_fast was set to false
+    model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+
+    input_ids = tokenizer(
+        [WHITESPACE_HANDLER(clean_text)],
+        return_tensors="pt",
+        padding="max_length",
+        truncation=True,
+        max_length=512
+    )["input_ids"]
+
+    output_ids = model.generate(
+        input_ids=input_ids,
+        max_length=84,
+        no_repeat_ngram_size=2,
+        num_beams=4
+    )[0]
+
+    summary = tokenizer.decode(
+        output_ids,
+        skip_special_tokens=True,
+        clean_up_tokenization_spaces=False
+    )
+    
+    return summary
+
+
+demo = gr.Interface(fn=generate_summary, 
+                    inputs=gr.Textbox(lines=10, placeholder="Insert the text here"), 
+                    outputs=gr.Textbox(lines=4)
+                    )
+
+demo.launch()