chore: remove unecessary requirements

script/make_utils/run_use_case_examples.sh

@@ -31,24 +31,19 @@ setup_virtualenv() {
     echo "Virtual environment activated."
 }
 
-install_concrete_ml() {
-    pip install -U pip setuptools wheel
-    if pip install -e .; then
-        echo "Concrete ML installation successful."
-    else
-        echo "Failed to install Concrete ML."
-        return 1
-    fi
-}
-
 install_requirements() {
-    if [ -f "requirements.txt" ]; then
+    pip install -U pip setuptools wheel
+    local example_dir=$1
+    if [ -f "${example_dir}/requirements.txt" ]; then
+        pushd "$example_dir"
         if pip install -r requirements.txt; then
             echo "Requirements installed successfully."
         else
             echo "Failed to install requirements."
+            popd
             return 1
         fi
+        popd
     fi
 }
 
@@ -63,13 +58,12 @@ run_example() {
 
     echo "*** Running example: $example_name ***"
     setup_virtualenv "$example_name"
-    install_concrete_ml || return
-    install_requirements || return
+    install_requirements "$example_dir" || return
 
     echo "Running use case example using Makefile..."
     make -C "$example_dir" run_example
 
-    local result="${PIPESTATUS[0]}"
+    local result=$?
 
     if [ "$result" -ne 0 ]; then
         echo "Failure in example $example_name."

use_case_examples/cifar/cifar_brevitas_finetuning/requirements.txt

@@ -1,3 +1,2 @@
 concrete-ml
-jupyter
 torchvision

use_case_examples/cifar/cifar_brevitas_training/requirements.txt

@@ -1,3 +1,2 @@
 concrete-ml
-jupyter
 torchvision

use_case_examples/credit_scoring/requirements.txt

@@ -1,3 +1 @@
 concrete-ml
-jupyter
-pandas

use_case_examples/deployment/cifar_8_bit/requirements.txt

@@ -1,2 +1,3 @@
 torchvision==0.14.1 
 Pillow
+concrete-ml

use_case_examples/deployment/sentiment_analysis/requirements.txt

@@ -1,4 +1,2 @@
 concrete-ml
-jupyter
-pandas
 transformers

use_case_examples/disease_prediction/requirements.txt

@@ -1,4 +1 @@
 concrete-ml
-jupyter
-pandas
-matplotlib

use_case_examples/federated_learning/Makefile

@@ -8,7 +8,9 @@ PYTHON_RUN=python
 run_example: run_sh load_to_cml
 
 run_sh:
+	@echo "Running federated learning training script..."
 	@./run.sh
 
 load_to_cml:
-	@$(PYTHON_RUN) load_to_cml.py
+	@echo "Loading and compiling the model with Concrete ML..."
+	@$(PYTHON_RUN) load_to_cml.py

use_case_examples/hybrid_model/Makefile

@@ -0,0 +1,13 @@
+# Useful for jupyter notebooks
+export LC_ALL=en_US.UTF-8
+export LANG=en_US.UTF-8
+
+EXAMPLE_NAME=hybrid_model
+
+run_example: compile_model serve_model
+
+compile_model:
+	@python compile_hybrid_llm.py
+
+serve_model:
+	@./serve.sh

use_case_examples/hybrid_model/requirements.txt

@@ -1,3 +1,4 @@
+concrete-ml
 datasets==2.14.4
 apache_beam==2.49.0 
 mwparserfromhell==0.6.4

use_case_examples/sentiment_analysis_with_transformer/requirements.txt

@@ -1,4 +1,2 @@
 concrete-ml
-jupyter
-pandas
 transformers

use_case_examples/titanic/requirements.txt

@@ -1,3 +1 @@
 concrete-ml
-jupyter
-pandas