Roman
commited on
Commit
•
d07e70b
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Parent(s):
1abded0
chore: display encrypted ouput, add sizes and resize input examples
Browse files- .gitignore +1 -0
- README.md +1 -0
- app.py +92 -34
- common.py +2 -0
- filters.py +0 -6
- filters/black and white/deployment/client.zip +1 -1
- filters/black and white/deployment/server.zip +2 -2
- filters/blur/deployment/client.zip +1 -1
- filters/blur/deployment/server.zip +2 -2
- filters/identity/deployment/client.zip +1 -1
- filters/identity/deployment/server.zip +2 -2
- filters/inverted/deployment/client.zip +1 -1
- filters/inverted/deployment/server.zip +2 -2
- filters/ridge detection/deployment/client.zip +1 -1
- filters/ridge detection/deployment/server.zip +2 -2
- filters/rotate/deployment/client.zip +1 -1
- filters/rotate/deployment/server.zip +2 -2
- filters/sharpen/deployment/client.zip +1 -1
- filters/sharpen/deployment/server.zip +2 -2
- input_examples/arc.jpg +0 -0
- input_examples/book.jpg +0 -0
- input_examples/computer.jpg +0 -0
- input_examples/tree.jpg +0 -0
- input_examples/zama_math.jpg +0 -0
- input_examples/zebra.jpg +0 -0
- requirements.txt +0 -1
.gitignore
CHANGED
@@ -2,6 +2,7 @@
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.playground/
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.artifacts
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.fhe_keys
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server_tmp/
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client_tmp/
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.artifacts
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.playground/
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.artifacts
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.fhe_keys
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+
.wrong_keys
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server_tmp/
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client_tmp/
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.artifacts
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README.md
CHANGED
@@ -36,6 +36,7 @@ Then, install required packages:
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<!--pytest-codeblocks:skip-->
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```bash
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pip3 install -U pip wheel setuptools --ignore-installed
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pip3 install -r requirements.txt --ignore-installed
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```
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<!--pytest-codeblocks:skip-->
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```bash
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+
pip3 install pip --upgrade
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pip3 install -U pip wheel setuptools --ignore-installed
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pip3 install -r requirements.txt --ignore-installed
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```
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app.py
CHANGED
@@ -15,16 +15,28 @@ from common import (
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FILTERS_PATH,
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INPUT_SHAPE,
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KEYS_PATH,
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REPO_DIR,
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SERVER_URL,
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)
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-
from custom_client_server import CustomFHEClient
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# Uncomment here to have both the server and client in the same terminal
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subprocess.Popen(["uvicorn", "server:app"], cwd=REPO_DIR)
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time.sleep(3)
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def shorten_bytes_object(bytes_object, limit=500):
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"""Shorten the input bytes object to a given length.
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@@ -121,8 +133,6 @@ def keygen(image_filter):
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user_id = numpy.random.randint(0, 2**32)
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# Retrieve the client API
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-
# Currently, the key generation needs to be done after choosing a filter
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-
# FIXME: https://github.com/zama-ai/concrete-ml-internal/issues/2258
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client = get_client(user_id, image_filter)
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# Generate a private key
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# execution
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evaluation_key = client.get_serialized_evaluation_keys()
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# Save evaluation_key as bytes in a file as it is too large to pass through regular Gradio
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# buttons (see https://github.com/gradio-app/gradio/issues/1877)
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evaluation_key_path = get_client_file_path("evaluation_key", user_id, image_filter)
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with evaluation_key_path.open("wb") as evaluation_key_file:
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evaluation_key_file.write(evaluation_key)
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-
return (user_id, True)
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def encrypt(user_id, input_image, image_filter):
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@@ -159,12 +173,18 @@ def encrypt(user_id, input_image, image_filter):
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if user_id == "":
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raise gr.Error("Please generate the private key first.")
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# Retrieve the client API
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client = get_client(user_id, image_filter)
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# Pre-process, encrypt and serialize the image
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encrypted_image = client.pre_process_encrypt_serialize(input_image)
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# Save encrypted_image to bytes in a file, since too large to pass through regular Gradio
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# buttons, https://github.com/gradio-app/gradio/issues/1877
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encrypted_image_path = get_client_file_path("encrypted_image", user_id, image_filter)
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@@ -175,7 +195,7 @@ def encrypt(user_id, input_image, image_filter):
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# Create a truncated version of the encrypted image for display
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encrypted_image_short = shorten_bytes_object(encrypted_image)
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-
return (input_image, encrypted_image_short)
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def send_input(user_id, image_filter):
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@@ -264,17 +284,22 @@ def get_output(user_id, image_filter):
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data=data,
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) as response:
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if response.ok:
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# Save the encrypted output to bytes in a file as it is too large to pass through regular
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# Gradio buttons (see https://github.com/gradio-app/gradio/issues/1877)
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encrypted_output_path = get_client_file_path("encrypted_output", user_id, image_filter)
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with encrypted_output_path.open("wb") as encrypted_output_file:
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encrypted_output_file.write(
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#
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-
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return
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else:
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raise gr.Error("Please wait for the FHE execution to be completed.")
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)
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gr.Markdown("## Client side")
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gr.Markdown(
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-
f"
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-
"The image is however
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)
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with gr.Row():
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input_image = gr.Image(
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@@ -341,33 +368,46 @@ with demo:
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examples=EXAMPLES, inputs=[input_image], examples_per_page=5, label="Examples to use."
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)
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-
gr.Markdown("Step 2. Choose your filter")
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image_filter = gr.Dropdown(
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choices=AVAILABLE_FILTERS, value="inverted", label="Choose your filter", interactive=True
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)
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gr.Markdown("
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gr.Markdown(
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"""
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- The private key is used to encrypt and decrypt the data and shall never be shared.
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- No public key are required for these filter operators.
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"""
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)
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-
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with gr.Row():
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-
keygen_button = gr.Button("
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keygen_checkbox = gr.Checkbox(label="Private key generated:", interactive=False)
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-
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-
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-
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-
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-
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encrypted_image = gr.Textbox(
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label="Encrypted image representation:", max_lines=2, interactive=False
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)
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gr.Markdown("## Server side")
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"the encrypted results to the client."
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)
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with gr.Row():
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-
send_input_button = gr.Button("
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send_input_checkbox = gr.Checkbox(label="Encrypted image sent.", interactive=False)
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with gr.Row():
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-
execute_fhe_button = gr.Button("
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fhe_execution_time = gr.Textbox(
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-
label="Total FHE execution time (in seconds)
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)
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with gr.Row():
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-
get_output_button = gr.Button("
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-
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-
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-
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-
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)
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gr.Markdown("## Client side")
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@@ -404,7 +455,12 @@ with demo:
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"private key. Only the client is aware of the original image and its transformed version."
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)
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-
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# Final input vs output display
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with gr.Row():
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@@ -424,14 +480,14 @@ with demo:
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keygen_button.click(
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keygen,
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inputs=[image_filter],
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-
outputs=[user_id, keygen_checkbox],
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)
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# Button to encrypt inputs on the client side
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encrypt_button.click(
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encrypt,
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inputs=[user_id, input_image, image_filter],
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-
outputs=[original_image,
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)
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# Button to send the encodings to the server using post method
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@@ -444,7 +500,9 @@ with demo:
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# Button to send the encodings to the server using post method
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get_output_button.click(
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get_output,
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)
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# Button to decrypt the output on the client side
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FILTERS_PATH,
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INPUT_SHAPE,
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KEYS_PATH,
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+
WRONG_KEYS_PATH,
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REPO_DIR,
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SERVER_URL,
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)
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+
from custom_client_server import CustomFHEClient, CustomFHEServer
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# Uncomment here to have both the server and client in the same terminal
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subprocess.Popen(["uvicorn", "server:app"], cwd=REPO_DIR)
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time.sleep(3)
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27 |
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28 |
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+
def decrypt_output_with_wrong_key(encrypted_image, image_filter):
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30 |
+
filter_path = FILTERS_PATH / f"{image_filter}/deployment"
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31 |
+
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+
wrong_client = CustomFHEClient(filter_path, WRONG_KEYS_PATH)
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33 |
+
wrong_client.generate_private_and_evaluation_keys(force=True)
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+
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+
output_image = wrong_client.deserialize_decrypt_post_process(encrypted_image)
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+
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return output_image
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+
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+
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def shorten_bytes_object(bytes_object, limit=500):
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41 |
"""Shorten the input bytes object to a given length.
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42 |
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133 |
user_id = numpy.random.randint(0, 2**32)
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# Retrieve the client API
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client = get_client(user_id, image_filter)
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# Generate a private key
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# execution
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evaluation_key = client.get_serialized_evaluation_keys()
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145 |
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+
# Compute the private key's size in Kilobytes
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+
private_key_path = next(client.key_dir.iterdir()) / "0_0/secretKey_big"
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148 |
+
private_key_size = private_key_path.stat().st_size / 1000
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149 |
+
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# Save evaluation_key as bytes in a file as it is too large to pass through regular Gradio
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# buttons (see https://github.com/gradio-app/gradio/issues/1877)
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152 |
evaluation_key_path = get_client_file_path("evaluation_key", user_id, image_filter)
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with evaluation_key_path.open("wb") as evaluation_key_file:
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evaluation_key_file.write(evaluation_key)
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+
return (user_id, True, private_key_size)
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def encrypt(user_id, input_image, image_filter):
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if user_id == "":
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raise gr.Error("Please generate the private key first.")
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+
if input_image is None:
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+
raise gr.Error("Please choose an image first.")
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+
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# Retrieve the client API
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client = get_client(user_id, image_filter)
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|
182 |
# Pre-process, encrypt and serialize the image
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encrypted_image = client.pre_process_encrypt_serialize(input_image)
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184 |
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+
# Compute the input's size in Megabytes
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+
encrypted_input_size = len(encrypted_image) / 1000000
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187 |
+
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# Save encrypted_image to bytes in a file, since too large to pass through regular Gradio
|
189 |
# buttons, https://github.com/gradio-app/gradio/issues/1877
|
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encrypted_image_path = get_client_file_path("encrypted_image", user_id, image_filter)
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# Create a truncated version of the encrypted image for display
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encrypted_image_short = shorten_bytes_object(encrypted_image)
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197 |
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+
return (input_image, encrypted_image_short, encrypted_input_size)
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199 |
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200 |
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201 |
def send_input(user_id, image_filter):
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284 |
data=data,
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) as response:
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286 |
if response.ok:
|
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+
encrypted_output = response.content
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+
|
289 |
+
# Compute the output's size in Megabytes
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+
encrypted_output_size = len(encrypted_output) / 1000000
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291 |
+
|
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# Save the encrypted output to bytes in a file as it is too large to pass through regular
|
293 |
# Gradio buttons (see https://github.com/gradio-app/gradio/issues/1877)
|
294 |
encrypted_output_path = get_client_file_path("encrypted_output", user_id, image_filter)
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295 |
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with encrypted_output_path.open("wb") as encrypted_output_file:
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297 |
+
encrypted_output_file.write(encrypted_output)
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299 |
+
# Decrypt the image using a different (wrong) key for display
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300 |
+
output_image_representation = decrypt_output_with_wrong_key(encrypted_output, image_filter)
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301 |
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302 |
+
return output_image_representation, encrypted_output_size
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303 |
else:
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raise gr.Error("Please wait for the FHE execution to be completed.")
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|
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)
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354 |
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gr.Markdown("## Client side")
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356 |
+
gr.Markdown("### Step 1. Upload an image. ")
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gr.Markdown(
|
358 |
+
f"The image will automatically be resized to shape ({INPUT_SHAPE[0]}x{INPUT_SHAPE[1]})."
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359 |
+
"The image displayed here is however using its original resolution. The true image used "
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+
"in this demo can be seen in Step. 8."
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)
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with gr.Row():
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input_image = gr.Image(
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examples=EXAMPLES, inputs=[input_image], examples_per_page=5, label="Examples to use."
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)
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370 |
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+
gr.Markdown("### Step 2. Choose your filter")
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image_filter = gr.Dropdown(
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choices=AVAILABLE_FILTERS, value="inverted", label="Choose your filter", interactive=True
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)
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375 |
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376 |
+
gr.Markdown("#### Notes")
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gr.Markdown(
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"""
|
379 |
- The private key is used to encrypt and decrypt the data and shall never be shared.
|
380 |
- No public key are required for these filter operators.
|
381 |
"""
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382 |
)
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383 |
+
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384 |
+
gr.Markdown("### Step 3. Generate the private key.")
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with gr.Row():
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386 |
+
keygen_button = gr.Button("Generate the private key.")
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387 |
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keygen_checkbox = gr.Checkbox(label="Private key generated:", interactive=False)
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389 |
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390 |
+
private_key_size = gr.Number(
|
391 |
+
label="Private key size (in kB):", value=0, precision=1, interactive=False
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392 |
+
)
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393 |
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394 |
+
user_id = gr.Textbox(label="", max_lines=2, interactive=False, visible=False)
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395 |
+
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396 |
+
gr.Markdown("### Step 4. Encrypt the image using FHE.")
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397 |
+
with gr.Row():
|
398 |
+
encrypt_button = gr.Button("Encrypt the image using FHE.")
|
399 |
+
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400 |
+
# FIXME: Display an image representation here
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401 |
+
# Currently not really possible as Concrete-Numpy does not give the ability to decrypt
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402 |
+
# an encrypted input
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403 |
+
# https://github.com/zama-ai/concrete-ml-internal/issues/2265
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404 |
+
# https://github.com/zama-ai/concrete-numpy-internal/issues/1753
|
405 |
+
encrypted_input = gr.Textbox(
|
406 |
+
label="Encrypted input representation:", max_lines=2, interactive=False
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407 |
+
)
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408 |
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409 |
+
encrypted_input_size = gr.Number(
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410 |
+
label="Encrypted input size (in MB):", value=0, precision=1, interactive=False
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411 |
)
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412 |
|
413 |
gr.Markdown("## Server side")
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|
417 |
"the encrypted results to the client."
|
418 |
)
|
419 |
|
420 |
+
gr.Markdown("### Step 5. Send the encrypted image to the server.")
|
421 |
with gr.Row():
|
422 |
+
send_input_button = gr.Button("Send the encrypted image to the server.")
|
423 |
|
424 |
send_input_checkbox = gr.Checkbox(label="Encrypted image sent.", interactive=False)
|
425 |
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+
gr.Markdown("### Step 6. Run FHE execution.")
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427 |
with gr.Row():
|
428 |
+
execute_fhe_button = gr.Button("Run FHE execution.")
|
429 |
|
430 |
fhe_execution_time = gr.Textbox(
|
431 |
+
label="Total FHE execution time (in seconds):", max_lines=1, interactive=False
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432 |
)
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433 |
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434 |
+
gr.Markdown("### Step 7. Receive the encrypted output image from the server.")
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435 |
+
gr.Markdown(
|
436 |
+
"The image displayed here is the encrypted result sent by the server which has been "
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437 |
+
"decrypted using a different private key. This is only used to visually represent an "
|
438 |
+
"encrypted image."
|
439 |
+
)
|
440 |
with gr.Row():
|
441 |
+
get_output_button = gr.Button("Receive the encrypted output image from the server.")
|
442 |
|
443 |
+
encrypted_output_representation = gr.Image(
|
444 |
+
label=f"Encrypted output representation ({INPUT_SHAPE[0]}x{INPUT_SHAPE[1]}):", interactive=False
|
445 |
+
)
|
446 |
+
encrypted_output_representation.style(height=256, width=256)
|
447 |
+
|
448 |
+
encrypted_output_size = gr.Number(
|
449 |
+
label="Encrypted output size (in MB):", value=0, precision=1, interactive=False
|
450 |
)
|
451 |
|
452 |
gr.Markdown("## Client side")
|
|
|
455 |
"private key. Only the client is aware of the original image and its transformed version."
|
456 |
)
|
457 |
|
458 |
+
gr.Markdown("### Step 8. Decrypt the output")
|
459 |
+
gr.Markdown(
|
460 |
+
"The image displayed on the left is the input image used during the demo. The output image "
|
461 |
+
"can be seen on the right."
|
462 |
+
)
|
463 |
+
decrypt_button = gr.Button("Decrypt the output")
|
464 |
|
465 |
# Final input vs output display
|
466 |
with gr.Row():
|
|
|
480 |
keygen_button.click(
|
481 |
keygen,
|
482 |
inputs=[image_filter],
|
483 |
+
outputs=[user_id, keygen_checkbox, private_key_size],
|
484 |
)
|
485 |
|
486 |
# Button to encrypt inputs on the client side
|
487 |
encrypt_button.click(
|
488 |
encrypt,
|
489 |
inputs=[user_id, input_image, image_filter],
|
490 |
+
outputs=[original_image, encrypted_input, encrypted_input_size],
|
491 |
)
|
492 |
|
493 |
# Button to send the encodings to the server using post method
|
|
|
500 |
|
501 |
# Button to send the encodings to the server using post method
|
502 |
get_output_button.click(
|
503 |
+
get_output,
|
504 |
+
inputs=[user_id, image_filter],
|
505 |
+
outputs=[encrypted_output_representation, encrypted_output_size]
|
506 |
)
|
507 |
|
508 |
# Button to decrypt the output on the client side
|
common.py
CHANGED
@@ -11,11 +11,13 @@ REPO_DIR = Path(__file__).parent
|
|
11 |
# The repository's main directories
|
12 |
FILTERS_PATH = REPO_DIR / "filters"
|
13 |
KEYS_PATH = REPO_DIR / ".fhe_keys"
|
|
|
14 |
CLIENT_TMP_PATH = REPO_DIR / "client_tmp"
|
15 |
SERVER_TMP_PATH = REPO_DIR / "server_tmp"
|
16 |
|
17 |
# Create the directories if it does not exist yet
|
18 |
KEYS_PATH.mkdir(exist_ok=True)
|
|
|
19 |
CLIENT_TMP_PATH.mkdir(exist_ok=True)
|
20 |
SERVER_TMP_PATH.mkdir(exist_ok=True)
|
21 |
|
|
|
11 |
# The repository's main directories
|
12 |
FILTERS_PATH = REPO_DIR / "filters"
|
13 |
KEYS_PATH = REPO_DIR / ".fhe_keys"
|
14 |
+
WRONG_KEYS_PATH = REPO_DIR / ".wrong_keys"
|
15 |
CLIENT_TMP_PATH = REPO_DIR / "client_tmp"
|
16 |
SERVER_TMP_PATH = REPO_DIR / "server_tmp"
|
17 |
|
18 |
# Create the directories if it does not exist yet
|
19 |
KEYS_PATH.mkdir(exist_ok=True)
|
20 |
+
WRONG_KEYS_PATH.mkdir(exist_ok=True)
|
21 |
CLIENT_TMP_PATH.mkdir(exist_ok=True)
|
22 |
SERVER_TMP_PATH.mkdir(exist_ok=True)
|
23 |
|
filters.py
CHANGED
@@ -14,9 +14,6 @@ from concrete.ml.onnx.convert import get_equivalent_numpy_forward
|
|
14 |
from concrete.ml.torch.numpy_module import NumpyModule
|
15 |
from concrete.ml.version import __version__ as CML_VERSION
|
16 |
|
17 |
-
# Add a "black and white" filter
|
18 |
-
# FIXME: https://github.com/zama-ai/concrete-ml-internal/issues/2277
|
19 |
-
|
20 |
|
21 |
class _TorchIdentity(nn.Module):
|
22 |
"""Torch identity model."""
|
@@ -189,9 +186,6 @@ class Filter:
|
|
189 |
self.torch_model = _TorchConv2D(kernel, n_out_channels=3, groups=3)
|
190 |
|
191 |
elif image_filter == "ridge detection":
|
192 |
-
# Make the filter properly grayscaled, as it is commonly used
|
193 |
-
# FIXME: https://github.com/zama-ai/concrete-ml-internal/issues/2265
|
194 |
-
|
195 |
kernel = torch.tensor(
|
196 |
[
|
197 |
[-1, -1, -1],
|
|
|
14 |
from concrete.ml.torch.numpy_module import NumpyModule
|
15 |
from concrete.ml.version import __version__ as CML_VERSION
|
16 |
|
|
|
|
|
|
|
17 |
|
18 |
class _TorchIdentity(nn.Module):
|
19 |
"""Torch identity model."""
|
|
|
186 |
self.torch_model = _TorchConv2D(kernel, n_out_channels=3, groups=3)
|
187 |
|
188 |
elif image_filter == "ridge detection":
|
|
|
|
|
|
|
189 |
kernel = torch.tensor(
|
190 |
[
|
191 |
[-1, -1, -1],
|
filters/black and white/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 388
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9a8fae28225c53cc6e184535a8880187626892461a7f0c25afe322dfaa83f678
|
3 |
size 388
|
filters/black and white/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4253afb0e46be27e5aa2562c14e7bc402fc7aa39cf01a824f1170c5e46ccf9aa
|
3 |
+
size 4364
|
filters/blur/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 391
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
+
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|
3 |
size 391
|
filters/blur/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:deb92cf90d25f2c4552bb8a2fa0eb0f0cbe0fdc549665f2b63a15a78c0b20d72
|
3 |
+
size 7263
|
filters/identity/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 378
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
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|
3 |
size 378
|
filters/identity/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:9741844b0e166078608310f3812724cf0dd117927457763ecec48e5e510ebc5a
|
3 |
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size 2559
|
filters/inverted/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:
|
3 |
size 378
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
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|
3 |
size 378
|
filters/inverted/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
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version https://git-lfs.github.com/spec/v1
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oid sha256:e3b413c12bb4d656e739247af1ffb848d57a70a2f57011dd367af66c56cce025
|
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size 4179
|
filters/ridge detection/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 397
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|
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|
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size 397
|
filters/ridge detection/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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2 |
-
oid sha256:
|
3 |
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size
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|
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version https://git-lfs.github.com/spec/v1
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|
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size 4479
|
filters/rotate/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:
|
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size 378
|
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|
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|
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size 378
|
filters/rotate/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:
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size
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|
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version https://git-lfs.github.com/spec/v1
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|
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size 4431
|
filters/sharpen/deployment/client.zip
CHANGED
@@ -1,3 +1,3 @@
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|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:
|
3 |
size 396
|
|
|
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version https://git-lfs.github.com/spec/v1
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|
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size 396
|
filters/sharpen/deployment/server.zip
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
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size
|
|
|
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version https://git-lfs.github.com/spec/v1
|
2 |
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|
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size 7311
|
input_examples/arc.jpg
CHANGED
![]() |
![]() |
input_examples/book.jpg
CHANGED
![]() |
![]() |
input_examples/computer.jpg
CHANGED
![]() |
![]() |
input_examples/tree.jpg
CHANGED
![]() |
![]() |
input_examples/zama_math.jpg
CHANGED
![]() |
![]() |
input_examples/zebra.jpg
CHANGED
![]() |
![]() |
requirements.txt
CHANGED
@@ -2,4 +2,3 @@ concrete-ml==0.6.1
|
|
2 |
gradio==3.11.0
|
3 |
uvicorn==0.20.0
|
4 |
fastapi==0.87.0
|
5 |
-
jupyter==1.0.0
|
|
|
2 |
gradio==3.11.0
|
3 |
uvicorn==0.20.0
|
4 |
fastapi==0.87.0
|
|