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app.py

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+from transformers import pipeline, set_seed
+import gradio as grad
+import random
+
+
+gpt2_pipe = pipeline('text-generation', model='succinctly/text2image-prompt-generator')
+set_seed(42)
+
+def generate(starting_text):
+    seed = random.randint(1, 10000000)
+    response= gpt2_pipe(starting_text, max_length=20, num_return_sequences=5)
+    return response
+    
+txt=grad.Textbox(lines=1, label="English", placeholder="English Text here")
+out=grad.Textbox(lines=1, label="Generated Text")
+
+grad.Interface(fn=generate, inputs=txt, outputs=out, 
+             allow_flagging='never',
+             cache_examples=False,
+             theme="default").launch(enable_queue=True, debug=True)