fixed bugs

.streamlit/config.toml

@@ -1,2 +1,11 @@
+[global]
+dataSavePath = "/tmp"
+
+[client]
+showErrorDetails = true
+
+[logger]
+level = "info"
+
 [browser]
 gatherUsageStats = false

Dockerfile

@@ -1,23 +1,29 @@
-FROM python:3.10-slim
+FROM python:3.9-slim-buster
 
-# Set working directory
-WORKDIR /app
+# Set environment variables for Streamlit and Matplotlib
+ENV STREAMLIT_SERVER_PORT=8501
+ENV MPLCONFIGDIR=/tmp/matplotlib_cache
+
+# Create a non-root user for security (optional but good practice)
+# And set ownership of the app directory if needed
+# RUN useradd -m streamlit_user
+# USER streamlit_user
+# WORKDIR /home/streamlit_user/app
 
-# Copy application files
-COPY ./src /app/src
-COPY ./requirements.txt /app/requirements.txt
+WORKDIR /app
 
-# Install dependencies
-RUN pip install --no-cache-dir --upgrade -r /app/requirements.txt
+# Copy requirements.txt and install dependencies
+COPY requirements.txt .
+RUN pip install -r requirements.txt
 
-# Create writable Streamlit config directory
-RUN mkdir -p /tmp/.streamlit && chmod -R 777 /tmp/.streamlit
+# Copy your Streamlit app and configuration
+COPY . .
 
-# Set environment variable for Streamlit config
-ENV STREAMLIT_CONFIG_DIR=/tmp/.streamlit
+# Create the matplotlib cache directory with appropriate permissions
+RUN mkdir -p ${MPLCONFIGDIR} && chmod -R 777 ${MPLCONFIGDIR}
+# Make sure /tmp is also writable by everyone if not already (often is by default)
+RUN chmod -R 777 /tmp
 
-# Expose port 7860 (required by Hugging Face)
-EXPOSE 7860
+EXPOSE 8501
 
-# Run Streamlit app
-CMD ["streamlit", "run", "src/app.py", "--server.port=7860", "--server.address=0.0.0.0"]
+ENTRYPOINT ["streamlit", "run", "src/app.py", "--server.port=8501", "--server.enableCORS=false", "--server.enableXsrfProtection=false"]

src/app.py

@@ -1,65 +1,36 @@
 import streamlit as st
 import pandas as pd
-import os
-import tempfile
-import traceback
 
 # Set page title
 st.title("Student Grades Analysis")
 
-# Display Streamlit config directory for debugging
-st.write(f"Streamlit config directory: {os.getenv('STREAMLIT_CONFIG_DIR', 'Not set')}")
-
 # File uploader for CSV
 uploaded_file = st.file_uploader("Upload your student grades CSV file", type=["csv"])
 
 if uploaded_file is not None:
-    try:
-        st.write(f"Uploaded file: {uploaded_file.name}, size: {uploaded_file.size} bytes")
-        
-        # Create a temporary file to save the uploaded CSV
-        with tempfile.NamedTemporaryFile(delete=False, suffix='.csv', dir='/tmp') as tmp_file:
-            tmp_file.write(uploaded_file.getvalue())
-            tmp_file_path = tmp_file.name
-            st.write(f"Temporary file created at: {tmp_file_path}")
-
-        # Verify file exists and is readable
-        if os.path.exists(tmp_file_path):
-            st.write("Temporary file exists and is accessible")
-        else:
-            st.error("Temporary file was not created or is not accessible")
-            raise FileNotFoundError(f"Temporary file not found: {tmp_file_path}")
-
-        # Read the CSV from the temporary file
-        df = pd.read_csv(tmp_file_path)
-        st.write("CSV file successfully read into DataFrame")
-
-        # Display the DataFrame
-        st.subheader("Uploaded DataFrame")
-        st.dataframe(df)
-
-        # Display descriptive statistics
-        st.subheader("Descriptive Statistics")
-        st.write("**Basic Statistics for Numeric Columns**")
-        st.dataframe(df.describe())
-
-        st.write("**Column Data Types**")
-        st.write(df.dtypes)
-
-        st.write("**Missing Values**")
-        st.write(df.isnull().sum())
-
-        st.write("**Gender Distribution**")
-        st.write(df['gender'].value_counts())
-
-        st.write("**Correlation between Physics and Math Grades**")
-        st.write(df[['physics_grade', 'math_grade']].corr())
-
-        # Clean up the temporary file
-        os.remove(tmp_file_path)
-        st.write("Temporary file deleted")
-    except Exception as e:
-        st.error(f"An error occurred while processing the file: {str(e)}")
-        st.error(f"Full traceback: {traceback.format_exc()}")
+    # Read the CSV file
+    df = pd.read_csv(uploaded_file)
+    
+    # Display the DataFrame
+    st.subheader("Uploaded DataFrame")
+    st.dataframe(df)
+    
+    # Display descriptive statistics
+    st.subheader("Descriptive Statistics")
+    st.write("**Basic Statistics for Numeric Columns**")
+    st.dataframe(df.describe())
+    
+    # Additional statistics
+    st.write("**Column Data Types**")
+    st.write(df.dtypes)
+    
+    st.write("**Missing Values**")
+    st.write(df.isnull().sum())
+    
+    st.write("**Gender Distribution**")
+    st.write(df['gender'].value_counts())
+    
+    st.write("**Correlation between Physics and Math Grades**")
+    st.write(df[['physics_grade', 'math_grade']].corr())
 else:
     st.info("Please upload a CSV file to see the data and statistics.")