Create app.py

app.py

@@ -0,0 +1,88 @@
+import streamlit as st
+import pandas as pd
+import plotly.express as px
+from PIL import Image
+import io
+
+def main():
+    st.set_page_config(layout="wide")
+    
+    # Dashboard selection
+    analysis_type = st.sidebar.selectbox(
+        "Choose Analysis Type",
+        ["CSV Data Analysis", "PDF Text Analysis", "Excel Data Analysis"]
+    )
+    
+    if analysis_type == "CSV Data Analysis":
+        csv_analysis()
+    elif analysis_type == "PDF Text Analysis":
+        pdf_analysis()
+    elif analysis_type == "Excel Data Analysis":
+        excel_analysis()
+
+# Add your functions below...
+
+def csv_analysis():
+    st.header("CSV Data Analysis")
+    uploaded_file = st.file_uploader("Upload CSV", type="csv")
+    
+    if uploaded_file:
+        df = pd.read_csv(uploaded_file)
+        
+        # Basic stats
+        st.subheader("Basic Statistics")
+        st.write(df.describe())
+        
+        # Interactive visualization
+        st.subheader("Data Visualization")
+        columns = df.columns.tolist()
+        x_axis = st.selectbox("X Axis", columns)
+        y_axis = st.selectbox("Y Axis", columns)
+        
+        chart = px.scatter(df, x=x_axis, y=y_axis, title=f"{y_axis} vs {x_axis}")
+        st.plotly_chart(chart, use_container_width=True)
+
+
+def pdf_analysis():
+    st.header("PDF Text Analysis")
+    uploaded_file = st.file_uploader("Upload PDF", type="pdf")
+    
+    if uploaded_file:
+        # PDF text extraction
+        pdf_reader = PyPDF2.PdfReader(uploaded_file)
+        text = "\n".join([page.extract_text() for page in pdf_reader.pages])
+        
+        # Text metrics
+        st.subheader("Document Metrics")
+        col1, col2, col3 = st.columns(3)
+        col1.metric("Pages", len(pdf_reader.pages))
+        col2.metric("Words", len(text.split()))
+        col3.metric("Characters", len(text))
+        
+        # Word cloud
+        st.subheader("Word Cloud")
+        wordcloud = WordCloud().generate(text)
+        plt.imshow(wordcloud, interpolation='bilinear')
+        plt.axis("off")
+        st.pyplot(plt)
+
+def excel_analysis():
+    st.header("Excel Data Analysis")
+    uploaded_file = st.file_uploader("Upload Excel", type=["xlsx", "xls"])
+    
+    if uploaded_file:
+        # Read all sheets
+        xls = pd.ExcelFile(uploaded_file)
+        sheet_names = xls.sheet_names
+        selected_sheet = st.selectbox("Select Sheet", sheet_names)
+        
+        df = pd.read_excel(xls, sheet_name=selected_sheet)
+        
+        # Show data and visualization
+        st.subheader("Data Preview")
+        st.dataframe(df.head())
+        
+        st.subheader("Column Distribution")
+        selected_column = st.selectbox("Select Column", df.columns)
+        fig = px.histogram(df, x=selected_column)
+        st.plotly_chart(fig, use_container_width=True)