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Running
on
CPU Upgrade
chore: add gitignore
Browse files- .gitignore +2 -0
- app.py +48 -19
- deployment/client.zip +0 -0
- deployment/server.zip +0 -0
- deployment/versions.json +1 -0
- requirements.txt +1 -1
- server.py +2 -2
.gitignore
ADDED
@@ -0,0 +1,2 @@
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__pycache__/
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.ipynb_checkpoints
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app.py
CHANGED
@@ -4,18 +4,15 @@ from typing import Dict, List, Tuple
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import gradio as gr
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import numpy as np
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import pandas as pd
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import requests
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from symptoms_categories import SYMPTOMS_LIST
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from utils import (
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CLIENT_DIR,
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CURRENT_DIR,
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DEPLOYMENT_DIR,
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INPUT_BROWSER_LIMIT,
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KEYS_DIR,
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SERVER_URL,
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TARGET_COLUMNS,
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TRAINING_FILENAME,
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clean_directory,
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get_disease_name,
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load_data,
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@@ -116,6 +113,7 @@ def get_features_fn(*checked_symptoms: Tuple[str]) -> Dict:
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return {
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error_box1: gr.update(visible=False),
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user_vect_box1: get_user_symptoms_from_checkboxgroup(pretty_print(checked_symptoms)),
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}
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@@ -270,7 +268,9 @@ def send_input_fn(user_id: str, user_symptoms: np.ndarray) -> Dict:
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files=files,
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) as response:
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print(f"Sending Data: {response.ok=}")
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-
return {error_box4: gr.update(visible=False),
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def run_fhe_fn(user_id: str) -> Dict:
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@@ -311,6 +311,7 @@ def run_fhe_fn(user_id: str) -> Dict:
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return {
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error_box5: gr.update(visible=False),
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fhe_execution_time_box: gr.update(value=f"{response.json()} seconds"),
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}
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@@ -406,7 +407,7 @@ def decrypt_fn(user_id: str, user_symptoms: np.ndarray) -> Dict:
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}
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-
def
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"""Clear all the box outputs."""
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clean_directory()
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@@ -429,6 +430,9 @@ def clear_all_btn():
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error_box4: gr.update(visible=False),
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error_box5: gr.update(visible=False),
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error_box6: gr.update(visible=False),
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srv_resp_send_data_box: None,
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srv_resp_retrieve_data_box: None,
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**{box: None for box in check_boxes},
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@@ -441,6 +445,7 @@ CSS = """
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#them {font-weight: bold}
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.gradio-container {background-color: white}
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.feedback {font-size: 3px !important}
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/* #them {text-align: center} */
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"""
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@@ -495,12 +500,13 @@ if __name__ == "__main__":
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check_boxes = []
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for i, category in enumerate(SYMPTOMS_LIST):
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with gr.Accordion(
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pretty_print(category.keys()),
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) as accordion:
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check_box = gr.CheckboxGroup(
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pretty_print(category.values()),
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info=f"Symptoms related to `{pretty_print(category.values())}`",
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)
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check_boxes.append(check_box)
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@@ -521,14 +527,21 @@ if __name__ == "__main__":
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# Submit botton
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submit_button = gr.Button("Submit")
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-
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-
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submit_button.click(
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fn=get_features_fn,
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inputs=[*check_boxes],
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outputs=[user_vect_box1, error_box1],
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)
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with gr.TabItem("2. Data Encryption") as encryption_tab:
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@@ -610,14 +623,22 @@ if __name__ == "__main__":
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label="Data Sent", show_label=False, interactive=False
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)
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send_input_btn.click(
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send_input_fn,
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inputs=[user_id_box, user_vect_box1],
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outputs=[error_box4, srv_resp_send_data_box],
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)
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with gr.TabItem("3. FHE execution") as fhe_tab:
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gr.Markdown("<span style='color:orange'>
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gr.Markdown("## Step 5: Run the FHE evaluation")
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run_fhe_btn = gr.Button("Run the FHE evaluation")
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@@ -626,16 +647,21 @@ if __name__ == "__main__":
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label="Total FHE Execution Time:", interactive=False
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)
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run_fhe_btn.click(
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run_fhe_fn,
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inputs=[user_id_box],
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outputs=[fhe_execution_time_box, error_box5],
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)
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with gr.TabItem("4. Data Decryption") as decryption_tab:
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gr.Markdown("<span style='color:orange'>Client Side</span>")
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gr.Markdown(
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"## Step 6: Get the data from the <span style='color:orange'>Server Side</span>"
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)
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@@ -669,8 +695,11 @@ if __name__ == "__main__":
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)
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clear_button.click(
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outputs=[
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user_vect_box1,
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user_vect_box2,
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# disease_box,
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import gradio as gr
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import numpy as np
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import requests
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from symptoms_categories import SYMPTOMS_LIST
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from utils import (
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CLIENT_DIR,
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CURRENT_DIR,
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DEPLOYMENT_DIR,
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INPUT_BROWSER_LIMIT,
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KEYS_DIR,
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SERVER_URL,
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clean_directory,
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get_disease_name,
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load_data,
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return {
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error_box1: gr.update(visible=False),
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user_vect_box1: get_user_symptoms_from_checkboxgroup(pretty_print(checked_symptoms)),
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next_step_tab2: gr.update(visible=True),
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}
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files=files,
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) as response:
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print(f"Sending Data: {response.ok=}")
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return {error_box4: gr.update(visible=False),
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next_step_tab3: gr.update(visible=True),srv_resp_send_data_box: "Data sent",}
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def run_fhe_fn(user_id: str) -> Dict:
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return {
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error_box5: gr.update(visible=False),
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fhe_execution_time_box: gr.update(value=f"{response.json()} seconds"),
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next_step_tab4: gr.update(visible=True)
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}
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}
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def reset_fn():
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"""Clear all the box outputs."""
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clean_directory()
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error_box4: gr.update(visible=False),
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error_box5: gr.update(visible=False),
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error_box6: gr.update(visible=False),
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next_step_tab2: gr.update(visible=False),
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next_step_tab3: gr.update(visible=False),
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next_step_tab4: gr.update(visible=False),
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srv_resp_send_data_box: None,
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srv_resp_retrieve_data_box: None,
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**{box: None for box in check_boxes},
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#them {font-weight: bold}
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.gradio-container {background-color: white}
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.feedback {font-size: 3px !important}
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/* .svelte-s1r2yt {color: orange; font-size: 25px, font-weight: bold;} */
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/* #them {text-align: center} */
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"""
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check_boxes = []
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for i, category in enumerate(SYMPTOMS_LIST):
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with gr.Accordion(
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pretty_print(category.keys()),
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open=False,
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elem_classes="feedback",
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) as accordion:
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check_box = gr.CheckboxGroup(
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pretty_print(category.values()),
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show_label=False,
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)
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check_boxes.append(check_box)
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# Submit botton
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submit_button = gr.Button("Submit")
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# Clear botton
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clear_button = gr.Button("Reset Space")
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next_step_tab2 = gr.Markdown(
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"""
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<p align="center">
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<img width="80%" height="20%" src="https://raw.githubusercontent.com/kcelia/Img/main/Go-To-Step2.png">
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</p>
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""", visible=False
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)
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submit_button.click(
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fn=get_features_fn,
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inputs=[*check_boxes],
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outputs=[user_vect_box1, error_box1, next_step_tab2],
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)
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with gr.TabItem("2. Data Encryption") as encryption_tab:
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label="Data Sent", show_label=False, interactive=False
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)
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next_step_tab3 = gr.Markdown(
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"""
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<p align="center">
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<img width="80%" height="20%" src="https://raw.githubusercontent.com/kcelia/Img/main/Go-To-Step3.png">
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</p>
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""", visible=False
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)
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send_input_btn.click(
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send_input_fn,
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inputs=[user_id_box, user_vect_box1],
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outputs=[error_box4, srv_resp_send_data_box, next_step_tab3],
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)
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with gr.TabItem("3. FHE execution") as fhe_tab:
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gr.Markdown("<span style='color:orange'>Server Side</span>")
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gr.Markdown("## Step 5: Run the FHE evaluation")
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run_fhe_btn = gr.Button("Run the FHE evaluation")
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label="Total FHE Execution Time:", interactive=False
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)
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next_step_tab4 = gr.Markdown(
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"""
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<p align="center">
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<img width="80%" height="20%" src="https://raw.githubusercontent.com/kcelia/Img/main/Go-to-Step4.png">
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</p>
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""", visible=False
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)
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run_fhe_btn.click(
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run_fhe_fn,
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inputs=[user_id_box],
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outputs=[fhe_execution_time_box, error_box5, next_step_tab4],
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)
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with gr.TabItem("4. Data Decryption") as decryption_tab:
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gr.Markdown("<span style='color:orange'>Client Side</span>")
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gr.Markdown(
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"## Step 6: Get the data from the <span style='color:orange'>Server Side</span>"
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)
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)
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clear_button.click(
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reset_fn,
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outputs=[
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next_step_tab2,
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next_step_tab3,
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next_step_tab4,
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user_vect_box1,
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user_vect_box2,
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# disease_box,
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deployment/client.zip
ADDED
Binary file (89.7 kB). View file
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deployment/server.zip
ADDED
Binary file (1.59 kB). View file
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deployment/versions.json
ADDED
@@ -0,0 +1 @@
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{"concrete-ml": "1.0.3", "concrete-python": "1.0.0", "python": "3.10.6"}
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requirements.txt
CHANGED
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concrete-ml==1.0.3
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gradio==3.
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uvicorn>=0.21.0
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fastapi>=0.93.0
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concrete-ml==1.0.3
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gradio==3.35.2
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uvicorn>=0.21.0
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fastapi>=0.93.0
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server.py
CHANGED
@@ -32,7 +32,7 @@ def send_input(
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"""Send the inputs to the server."""
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print("\nSend the data to the server ............\n")
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-
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# Receive the Client's files (Evaluation key + Encrypted symptoms)
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evaluation_key_path = SERVER_DIR / f"{user_id}_valuation_key"
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encrypted_input_path = SERVER_DIR / f"{user_id}_encrypted_input"
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"""Retrieve the encrypted output from the server."""
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print("\nGet the output from the server ............\n")
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-
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# Path where the encrypted output is saved
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encrypted_output_path = SERVER_DIR / f"{user_id}_encrypted_output"
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"""Send the inputs to the server."""
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print("\nSend the data to the server ............\n")
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# Receive the Client's files (Evaluation key + Encrypted symptoms)
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evaluation_key_path = SERVER_DIR / f"{user_id}_valuation_key"
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encrypted_input_path = SERVER_DIR / f"{user_id}_encrypted_input"
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"""Retrieve the encrypted output from the server."""
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print("\nGet the output from the server ............\n")
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# Path where the encrypted output is saved
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encrypted_output_path = SERVER_DIR / f"{user_id}_encrypted_output"
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