Update app.py

app.py

@@ -16,6 +16,7 @@ def answer_question(question,context):
     return response
 grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()
 '''
+''' 
 from transformers import pipeline
 import gradio as grad
 mdl_name = "VietAI/envit5-translation"
@@ -25,4 +26,22 @@ def translate(text):
     
     response = opus_translator(text)
     return response
-grad.Interface(translate, inputs=["text",], outputs="text").launch()
+grad.Interface(translate, inputs=["text",], outputs="text").launch()
+'''
+
+#5.11
+
+from transformers import GPT2LMHeadModel,GPT2Tokenizer
+import gradio as grad
+
+mdl = GPT2LMHeadModel.from_pretrained('gpt2')
+gpt2_tkn=GPT2Tokenizer.from_pretrained('gpt2')
+
+def generate(starting_text):
+    tkn_ids = gpt2_tkn.encode(starting_text, return_tensors = 'pt')
+    gpt2_tensors = mdl.generate(tkn_ids)
+    response = gpt2_tensors
+    return response
+txt=grad.Textbox(lines=1, label="English", placeholder="English Text here")
+out=grad.Textbox(lines=1, label="Generated Tensors")
+grad.Interface(generate, inputs=txt, outputs=out).launch()