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@@ -1,10 +1,3 @@
-# FROM python:3.9-slim
-# WORKDIR /app
-# COPY . .
-# COPY requirements.txt .
-# COPY app.py .   
-# RUN pip install --no-cache-dir --upgrade -r requirements.txt
-# CMD ["streamlit", "run", "app.py", "server.address=0.0.0.0", "server.port=8501"]
 FROM python:3.9-slim
 WORKDIR /app
 COPY requirements.txt .

app.py

@@ -35,7 +35,7 @@ customer_data = {
 
 
 if st.button("Predict", type='primary'):
-    response = requests.post("https://MainiSandeep1987-FlaskAPITelecomChurnPrediction.hf.space/v1/customer", json=customer_data)    # enter user name and space name before running the cell
+    response = requests.post("https://MainiSandeep1987-BackEndFlaskAPITelecomChurnPrediction.hf.space/v1/customer", json=customer_data)    # enter user name and space name before running the cell
     if response.status_code == 200:
         result = response.json()
         churn_prediction = result["Prediction"]  # Extract only the value
@@ -49,7 +49,7 @@ st.subheader("Batch Prediction")
 file = st.file_uploader("Upload CSV file", type=["csv"])
 if file is not None:
     if st.button("Predict for Batch", type='primary'):
-        response = requests.post("https://MainiSandeep1987-FlaskAPITelecomChurnPrediction.hf.space/v1/customerbatch", files={"file": file})    # enter user name and space name before running the cell
+        response = requests.post("https://MainiSandeep1987-BackEndFlaskAPITelecomChurnPrediction.hf.space/v1/customerbatch", files={"file": file})    # enter user name and space name before running the cell
         if response.status_code == 200:
             result = response.json()
             st.header("Batch Prediction Results")