Spaces:
Sleeping
Sleeping
chore: update
Browse files
app.py
CHANGED
@@ -469,15 +469,15 @@ def reset_fn():
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return {
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one_hot_vector_box: None,
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submit_btn: gr.update(value="Submit"),
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-
user_id_box: gr.update(visible=False, value=None
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one_hot_vector: None,
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default_symptoms: gr.update(visible=True, value=None),
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disease_box: gr.update(visible=True, value=None),
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quant_vect_box: gr.update(visible=False, value=None
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enc_vect_box: gr.update(visible=True, value=None
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key_box: gr.update(visible=True, value=None
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key_len_box: gr.update(visible=False, value=None
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fhe_execution_time_box: gr.update(visible=True, value=None
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decrypt_box: None,
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error_box7: gr.update(visible=False),
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error_box1: gr.update(visible=False),
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@@ -535,6 +535,7 @@ if __name__ == "__main__":
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)
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# ------------------------- Step 1 -------------------------
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gr.Markdown("## Step 1: Select chief complaints")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Client Side</span>")
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@@ -568,9 +569,7 @@ if __name__ == "__main__":
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with gr.Column(scale=2):
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disease_box = gr.Dropdown(sorted(diseases), label="Diseases", visible=False)
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with gr.Column(scale=5):
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default_symptoms = gr.Textbox(
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label="Related Symptoms:", interactive=False, visible=False,
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)
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# User vector symptoms encoded in oneHot representation
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one_hot_vector = gr.Textbox(visible=False)
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# Submit botton
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@@ -588,6 +587,7 @@ if __name__ == "__main__":
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)
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# ------------------------- Step 2 -------------------------
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gr.Markdown("## Step 2: Encrypt data")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Client Side</span>")
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@@ -656,12 +656,13 @@ if __name__ == "__main__":
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)
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# ------------------------- Step 3 -------------------------
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gr.Markdown("## Step 3: Run the FHE evaluation")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Server Side</span>")
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gr.Markdown(
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"Once the server receives the encrypted data, it can process and compute the output without ever decrypting the data just as it would on clear data.\n\n"
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"This server employs a [
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)
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run_fhe_btn = gr.Button("Run the FHE evaluation")
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@@ -674,6 +675,7 @@ if __name__ == "__main__":
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)
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# ------------------------- Step 4 -------------------------
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gr.Markdown("## Step 4: Decrypt the data")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Client Side</span>")
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@@ -686,9 +688,7 @@ if __name__ == "__main__":
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with gr.Column(scale=4):
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get_output_btn = gr.Button("Get data")
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with gr.Column(scale=1):
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srv_resp_retrieve_data_box = gr.Checkbox(
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label="Data Received", show_label=False, interactive=False
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)
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get_output_btn.click(
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get_output_fn,
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@@ -700,7 +700,7 @@ if __name__ == "__main__":
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gr.Markdown("### Decrypt the output")
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decrypt_btn = gr.Button("Decrypt the output using the private secret key")
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error_box7 = gr.Textbox(label="Error ❌", visible=False)
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decrypt_box = gr.Textbox(label="Decrypted Output:"
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decrypt_btn.click(
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decrypt_fn,
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return {
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one_hot_vector_box: None,
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submit_btn: gr.update(value="Submit"),
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user_id_box: gr.update(visible=False, value=None),
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one_hot_vector: None,
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default_symptoms: gr.update(visible=True, value=None),
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disease_box: gr.update(visible=True, value=None),
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quant_vect_box: gr.update(visible=False, value=None),
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enc_vect_box: gr.update(visible=True, value=None),
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key_box: gr.update(visible=True, value=None),
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key_len_box: gr.update(visible=False, value=None),
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fhe_execution_time_box: gr.update(visible=True, value=None),
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decrypt_box: None,
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error_box7: gr.update(visible=False),
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error_box1: gr.update(visible=False),
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)
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# ------------------------- Step 1 -------------------------
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gr.Markdown("\n")
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gr.Markdown("## Step 1: Select chief complaints")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Client Side</span>")
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with gr.Column(scale=2):
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disease_box = gr.Dropdown(sorted(diseases), label="Diseases", visible=False)
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with gr.Column(scale=5):
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default_symptoms = gr.Textbox(label="Related Symptoms:", visible=False)
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# User vector symptoms encoded in oneHot representation
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one_hot_vector = gr.Textbox(visible=False)
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# Submit botton
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)
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# ------------------------- Step 2 -------------------------
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gr.Markdown("\n")
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gr.Markdown("## Step 2: Encrypt data")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Client Side</span>")
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)
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# ------------------------- Step 3 -------------------------
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gr.Markdown("\n")
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gr.Markdown("## Step 3: Run the FHE evaluation")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Server Side</span>")
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gr.Markdown(
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"Once the server receives the encrypted data, it can process and compute the output without ever decrypting the data just as it would on clear data.\n\n"
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"This server employs a [Logistic Regression]() model that has been trained on this [data-set](https://github.com/anujdutt9/Disease-Prediction-from-Symptoms/tree/master/dataset)."
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)
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run_fhe_btn = gr.Button("Run the FHE evaluation")
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)
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# ------------------------- Step 4 -------------------------
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gr.Markdown("\n")
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gr.Markdown("## Step 4: Decrypt the data")
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gr.Markdown("<hr />")
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gr.Markdown("<span style='color:grey'>Client Side</span>")
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with gr.Column(scale=4):
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get_output_btn = gr.Button("Get data")
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with gr.Column(scale=1):
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srv_resp_retrieve_data_box = gr.Checkbox(label="Data Received", show_label=False)
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get_output_btn.click(
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get_output_fn,
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gr.Markdown("### Decrypt the output")
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decrypt_btn = gr.Button("Decrypt the output using the private secret key")
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error_box7 = gr.Textbox(label="Error ❌", visible=False)
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decrypt_box = gr.Textbox(label="Decrypted Output:")
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decrypt_btn.click(
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decrypt_fn,
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