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Shaffique Aljoofri
commited on
Commit
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7804a41
1
Parent(s):
5977d60
Update app.py
Browse files
app.py
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import os
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import io
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import base64
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hf_api_key = os.environ['HF_API_KEY']
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import requests,
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#Image-to-text endpoint
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def image_to_base64_str(pil_image):
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byte_arr = io.BytesIO()
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byte_arr = byte_arr.getvalue()
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return str(base64.b64encode(byte_arr).decode('utf-8'))
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def get_completion(inputs, parameters = None, ENDPOINT_URL = os.environ['HF_API_ITT_BASE']):
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headers = {
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"Authorization": f"Bearer {hf_api_key}",
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"Content-Type": "application/json"
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}
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data = { "inputs" : inputs }
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if parameters is not None:
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data.update({"parameters" : parameters})
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response = requests.post(ENDPOINT_URL,
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headers = headers,
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data = json.dumps(data))
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return json.loads(response.content.decode("utf-8"))
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# Gradio App
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import gradio as gr
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from PIL import Image
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def captioner(image):
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pil_image = Image.open(image)
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base64_image = image_to_base64_str(pil_image)
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result = get_completion(base64_image)
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return result[0]['generated_text']
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gr.close_all()
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demo = gr.Interface(fn = captioner,
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inputs = [gr.Image(label="Upload image", type="pil")],
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outputs = [gr.Textbox(label="Caption")],
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title = "Image
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description = "Caption any image using the BLIP model",
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allow_flagging = "never",
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examples = ["tank-aerial-view.jpg"]
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##### Set API variables #####
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import os
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hf_api_key = os.environ['HF_API_KEY']
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hf_api_itt_base = os.environ['HF_API_ITT_BASE']
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##### Helper functions #####
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import io, base64, requests, json
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from PIL import Image
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def image_to_base64_str(pil_image):
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byte_arr = io.BytesIO()
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byte_arr = byte_arr.getvalue()
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return str(base64.b64encode(byte_arr).decode('utf-8'))
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def get_completion(inputs, parameters = None, ENDPOINT_URL = hf_api_itt_base):
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headers = {
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"Authorization": f"Bearer {hf_api_key}",
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"Content-Type": "application/json"
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}
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data = { "inputs" : inputs }
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if parameters is not None:
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data.update({"parameters" : parameters})
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response = requests.post(ENDPOINT_URL,
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headers = headers,
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data = json.dumps(data))
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return json.loads(response.content.decode("utf-8"))
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def captioner(image):
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pil_image = Image.open(image)
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base64_image = image_to_base64_str(pil_image)
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result = get_completion(base64_image)
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return result[0]['generated_text']
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##### Gradio App #####
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import gradio as gr
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gr.close_all()
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demo = gr.Interface(fn = captioner,
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inputs = [gr.Image(label="Upload image", type="pil")],
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outputs = [gr.Textbox(label="Caption")],
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title = "Image captioning with BLIP",
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description = "Caption any image using the BLIP model",
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allow_flagging = "never",
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examples = ["tank-aerial-view.jpg"]
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