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import gradio as gr | |
#from transformers import pipeline | |
# previous code #1 | |
""" | |
def greet(name): | |
return "Hello " + name + "!!" | |
iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
iface.launch() | |
""" | |
# active code | |
""" | |
# reference: https://medium.com/@rowel/gradio-hugging-face-for-rapid-deep-learning-app-development-709a78e7ccc0 | |
# https://huggingface.co/spaces/rowel/22k-image-classification | |
pipe = pipeline(task="conversational", | |
# model for 22k-category classification | |
model="abhinand/malayalam-llama-7b-instruct-v0.1") | |
gr.Interface.from_pipeline(pipe, | |
title="Chat", | |
description="Ask your questions in malayalam", | |
examples = ['കേരളത്തിലെ ജില്ലകൾ ഏതെല്ലാം ?', | |
'കേരളത്തിന്റെ തലസ്ഥാനം എവിടെയാണ് ?',], | |
).launch(inbrowser=True) | |
""" | |
gr.load("abhinand/malayalam-llama-7b-instruct-v0.1").launch() | |