Spaces:
Sleeping
Sleeping
Vela
commited on
Commit
·
48e17a6
1
Parent(s):
6eeddda
docker file modified
Browse files- Dockerfile +3 -3
- src/api/main.py +1 -5
- src/modules/logistic_regression.py +1 -1
Dockerfile
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
FROM python:3.9
|
| 2 |
|
| 3 |
-
ENV PATH="/home/user/.local/bin:$PATH"
|
| 4 |
-
|
| 5 |
WORKDIR /code
|
| 6 |
-
|
| 7 |
COPY . /code
|
|
|
|
|
|
|
|
|
|
| 8 |
|
| 9 |
RUN pip install --upgrade pip
|
| 10 |
RUN pip install --no-cache-dir -r requirements.txt
|
|
|
|
| 1 |
FROM python:3.9
|
| 2 |
|
|
|
|
|
|
|
| 3 |
WORKDIR /code
|
|
|
|
| 4 |
COPY . /code
|
| 5 |
+
ENV TRANSFORMERS_CACHE=/app/.cache/huggingface/hub
|
| 6 |
+
|
| 7 |
+
|
| 8 |
|
| 9 |
RUN pip install --upgrade pip
|
| 10 |
RUN pip install --no-cache-dir -r requirements.txt
|
src/api/main.py
CHANGED
|
@@ -15,10 +15,6 @@ def home():
|
|
| 15 |
def display_prediction(message : str = "Hello World"):
|
| 16 |
try:
|
| 17 |
dimention = logistic_regression.get_label(message)
|
| 18 |
-
# dimention = message
|
| 19 |
return {"message" : dimention}
|
| 20 |
except Exception as e:
|
| 21 |
-
return f"Unable to fetch the data {e}"
|
| 22 |
-
|
| 23 |
-
# x = display_prediction()
|
| 24 |
-
# print(type(x))
|
|
|
|
| 15 |
def display_prediction(message : str = "Hello World"):
|
| 16 |
try:
|
| 17 |
dimention = logistic_regression.get_label(message)
|
|
|
|
| 18 |
return {"message" : dimention}
|
| 19 |
except Exception as e:
|
| 20 |
+
return f"Unable to fetch the data {e}"
|
|
|
|
|
|
|
|
|
src/modules/logistic_regression.py
CHANGED
|
@@ -10,7 +10,7 @@ src_directory = os.path.abspath(os.path.join(os.path.dirname(__file__), "../..",
|
|
| 10 |
sys.path.append(src_directory)
|
| 11 |
from data import sample_data
|
| 12 |
|
| 13 |
-
file_path = r"src
|
| 14 |
df = sample_data.get_data_frame(file_path)
|
| 15 |
|
| 16 |
def get_label(message):
|
|
|
|
| 10 |
sys.path.append(src_directory)
|
| 11 |
from data import sample_data
|
| 12 |
|
| 13 |
+
file_path = r"src/data/sms_process_data_main.xlsx"
|
| 14 |
df = sample_data.get_data_frame(file_path)
|
| 15 |
|
| 16 |
def get_label(message):
|