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import gradio as gr
import requests, json
import os
import io
import IPython.display
from PIL import Image
import base64
from transformers import pipeline
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es")
def predict(text):
return pipe(text)[0]["translation_text"]
demo = gr.Interface(
fn=predict,
inputs='text',
outputs='text',
)
demo.launch()
#def greet(name):
# return "Hello " + name +os.environ['HF_TOKENS']
#demo = gr.Interface(fn=greet, inputs="text", outputs="text")
#demo.launch()
#gr.close_all()
#gr.Textbox(os.environ['HF_TOKENS'])
#Image-to-text endpoint
#def get_completion(inputs, parameters=None, ENDPOINT_URL="http://internal-aws-prod-internal-revproxy-alb-11660607.us-west-1.elb.amazonaws.com/rev-proxy/huggingface/itt"):
# headers = {
# "Authorization": f"Bearer {os.environ['HF_TOKENS']}",
# "Content-Type": "application/json"
# }
# data = { "inputs": inputs }
# if parameters is not None:
# data.update({"parameters": parameters})
# response = requests.request("POST",
# ENDPOINT_URL,
# headers=headers,
# data=json.dumps(data))
# return json.loads(response.content.decode("utf-8"))
#demo = gr.Interface(
# fn=get_completion,
# inputs="text",
# outputs="text"
#)
#image_url = "https://free-images.com/sm/9596/dog_animal_greyhound_983023.jpg"
#demo = gr.get_completion(image_url)
def image_to_base64_str(pil_image):
byte_arr = io.BytesIO()
pil_image.save(byte_arr, format='PNG')
byte_arr = byte_arr.getvalue()
return str(base64.b64encode(byte_arr).decode('utf-8'))
def captioner(image):
base64_image = image_to_base64_str(image)
result = get_completion(base64_image)
return result[0]['generated_text']
#gr.close_all()
#demo = gr.Interface(fn=captioner,
# inputs=[gr.Image(label="Upload image", type="pil")],
# outputs=[gr.Textbox(label="Caption")],
# title="Image Captioning with BLIP",
# description="Caption any image using the BLIP model",
# allow_flagging="never")
#demo = gr.Interface(fn=captioner,
# inputs=[gr.Image(label="Upload image", type="pil")],
#// outputs=[gr.Textbox(label="Caption")],
# // title="Image Captioning with BLIP",
# // description="Caption any image using the BLIP model",
# // allow_flagging="never",
# // examples=["christmas_dog.jpeg", "bird_flight.jpeg", "cow.jpeg"])
#demo.launch() |