Spaces:
Runtime error
Runtime error
Upload folder using huggingface_hub
Browse files- Dockerfile +1 -1
- app.py +1 -1
Dockerfile
CHANGED
|
@@ -11,6 +11,6 @@ COPY . .
|
|
| 11 |
RUN pip3 install -r requirements.txt
|
| 12 |
|
| 13 |
# Define the command to run the Streamlit app on port 8501 and make it accessible externally
|
| 14 |
-
CMD ["streamlit", "run", "app.py", "--server.port=
|
| 15 |
|
| 16 |
# NOTE: Disable XSRF protection for easier external access in order to make batch predictions
|
|
|
|
| 11 |
RUN pip3 install -r requirements.txt
|
| 12 |
|
| 13 |
# Define the command to run the Streamlit app on port 8501 and make it accessible externally
|
| 14 |
+
CMD ["streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0", "--server.enableXsrfProtection=false"]
|
| 15 |
|
| 16 |
# NOTE: Disable XSRF protection for easier external access in order to make batch predictions
|
app.py
CHANGED
|
@@ -72,7 +72,7 @@ if st.button("Predict"):
|
|
| 72 |
response = requests.post("https://Santhu976-ProdStoreSalesTotalPredictionBackend.hf.space/v1/sales", json=input_data.to_dict(orient='records')[0])
|
| 73 |
if response.status_code == 200:
|
| 74 |
prediction = response.json()['Predicted Price']
|
| 75 |
-
st.success(f"Predicted Product_Store_Sales_Total: {prediction}")
|
| 76 |
else:
|
| 77 |
st.error("Error making prediction.")
|
| 78 |
|
|
|
|
| 72 |
response = requests.post("https://Santhu976-ProdStoreSalesTotalPredictionBackend.hf.space/v1/sales", json=input_data.to_dict(orient='records')[0])
|
| 73 |
if response.status_code == 200:
|
| 74 |
prediction = response.json()['Predicted Price']
|
| 75 |
+
st.success(f"Predicted Product_Store_Sales_Total: {prediction}")
|
| 76 |
else:
|
| 77 |
st.error("Error making prediction.")
|
| 78 |
|