Create app.py
Browse files
app.py
ADDED
@@ -0,0 +1,172 @@
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import gradio as gr
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from collections import defaultdict
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import random
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import pandas as pd
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import os
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import cloudinary
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import cloudinary.uploader
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from cloudinary.utils import cloudinary_url
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import io
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import time
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import requests
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# Configuration
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cloudinary.config(
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cloud_name = "dnzirogvb",
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api_key = os.environ["api_key"] ,
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api_secret = os.environ["api_secret"] ,
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secure=True
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)
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from datetime import datetime
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import pytz
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# Define the GMT+7 timezone
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gmt_plus7 = pytz.timezone('Etc/GMT-7') # 'Etc/GMT-7' represents GMT+7
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def authenticate(user_id):
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url = "https://intern-api.imtaedu.com/api/subnets/1/authenticate"
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headers = {
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"Content-Type": "application/json",
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"Accept": "application/json",
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"X-Public-Api-Key": os.environ['ADMIN']
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}
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payload = { "token": user_id }
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response = requests.post(url, json=payload, headers=headers)
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return response.status_code == 200
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def login(username, state, package):
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state[0] = username
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#package[0] = get_next_package(user_id=username)
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#temp
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gr.Info("Login successfully. Welcome!")
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return f"Welcome, {username}!", gr.update(visible=False), gr.update(visible=True)
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#temp
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# Authenticate user
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if authenticate(username):
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#user_sessions[username] = True
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gr.Info("Login successfully. Welcome!")
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return gr.update(visible=False), gr.update(visible=True), get_next_en_text(username), package[0][2]
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else:
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raise gr.Error("Username or Password is invalid! Try again!")
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return "Invalid username or password.", gr.update(visible=True), gr.update(visible=False), "", ""
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def logout(username):
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# Log out user and reset session
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if username in user_sessions:
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del user_sessions[username]
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gr.Warning("You need to login to access this subnet and do task ⛔️!", duration=5)
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return "Logged out. Please log in again.", gr.update(visible=True), gr.update(visible=False)
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def get_image_bytes(image):
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if image is None:
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return "No image uploaded!"
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# Convert the image to bytes
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img_byte_arr = io.BytesIO()
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image.save(img_byte_arr, format='PNG') # Save as PNG or desired format
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img_bytes = img_byte_arr.getvalue()
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return img_bytes
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# Define a function to handle image and text caption
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def process_image_and_caption(username_input, image, caption):
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if image is None:
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gr.Warning("No image uploaded!", duration=5)
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return "No image uploaded!"
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if caption is None:
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gr.Warning("No caption uploaded!", duration=5)
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return "No caption uploaded!"
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# Get current time in GMT+7
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current_time = datetime.now(gmt_plus7)
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# Print the time
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time = current_time.strftime('-%Y-%m-%d-%H-%M-%S')
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name = username_input + time
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# Upload an image
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img_bytes = get_image_bytes(image)
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upload_image_result = cloudinary.uploader.upload(img_bytes, public_id = name, asset_folder = "image_for_captioning")
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# Upload caption
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# Convert to bytes
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caption_bytes = caption.encode('utf-8')
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# Create a byte array buffer (like a binary file stream)
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byte_buffer = io.BytesIO(caption_bytes)
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upload_caption_result = cloudinary.uploader.upload(byte_buffer, public_id = name, asset_folder = "caption", resource_type = "raw")
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send_score(username_input, 0.1)
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gr.Info("Submit successfully")
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return f'You just upload an Image with Caption: "{caption}" \nIntime {time}', None, None
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def send_score(user_id, score):
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max_retries = 10
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while max_retries > 0:
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url = "https://intern-api.imtaedu.com/api/subnets/2/grade"
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payload = {
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"token": user_id,
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"comment": "Good job!",
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"grade": score,
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"submitted_at": "2021-01-01 00:00:00",
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"graded_at": "2021-01-01 00:00:00"
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}
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headers = {
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"Content-Type": "application/json",
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"Accept": "application/json",
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"X-Public-Api-Key": os.environ['ADMIN']
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}
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response = requests.post(url, json=payload, headers=headers)
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if response.status_code == 200:
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return True
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print(response)
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max_retries -= 1
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return False
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# Define the Gradio interface
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with gr.Blocks() as demo:
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state = gr.State([None])
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package = gr.State([None])
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# Login section
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with gr.Column(visible=True) as login_section:
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username_input = gr.Textbox(placeholder="Enter your token", label="Token ID", type="password")
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login_button = gr.Button("Login")
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login_output = gr.Textbox(label="Login Status", interactive=False)
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# Upload section (initially hidden)
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with gr.Column(visible=False) as upload_section:
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with gr.Row():
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image_input = gr.Image(type="pil", label="Upload Image")
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caption_input = gr.Textbox(label="Enter Caption")
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submit_button = gr.Button("Submit")
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output = gr.Textbox(label="Output")
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# Button functions
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submit_button.click(
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process_image_and_caption,
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inputs=[username_input, image_input, caption_input],
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outputs=[output, image_input, caption_input]
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)
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username_input.submit(
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login, inputs=[username_input, state, package], outputs=[login_output, login_section, upload_section] #, translation_section, en_input, vi_input]
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)
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166 |
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login_button.click(
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168 |
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login, inputs=[username_input, state, package], outputs=[login_output, login_section, upload_section] #, translation_section, en_input, vi_input]
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+
)
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170 |
+
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171 |
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demo.launch(debug=True)
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