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import streamlit as st |
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import pandas as pd |
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from data_processor import DataProcessor |
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from visualizer import Visualizer |
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from analyzer import Analyzer |
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from openai_agent import OpenAIAgent |
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from time_series_analyzer import TimeSeriesAnalyzer |
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from machine_learning import MachineLearning |
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from text_analyzer import TextAnalyzer |
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from geospatial_analyzer import GeospatialAnalyzer |
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from utils import load_data, save_data |
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st.set_page_config(page_title="AI-Powered Data Analysis", layout="wide") |
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st.title("AI-Powered Data Analysis and Visualization") |
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uploaded_file = st.sidebar.file_uploader("Choose a CSV file", type="csv") |
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if uploaded_file is not None: |
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df = load_data(uploaded_file) |
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data_processor = DataProcessor(df) |
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visualizer = Visualizer() |
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analyzer = Analyzer() |
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openai_agent = OpenAIAgent() |
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time_series_analyzer = TimeSeriesAnalyzer() |
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ml = MachineLearning() |
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text_analyzer = TextAnalyzer() |
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geo_analyzer = GeospatialAnalyzer() |
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feature = st.sidebar.radio( |
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"Select a feature", |
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["Data Overview", "Data Cleaning", "Data Visualization", "Data Analysis", |
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"AI Insights", "Time Series Analysis", "Machine Learning", |
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"Text Analysis", "Geospatial Analysis", "Custom AI Tasks"] |
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) |
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if feature == "Data Overview": |
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st.header("Data Overview") |
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st.write("Dataset shape:", df.shape) |
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st.write("Columns:", df.columns.tolist()) |
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st.write("Sample data:") |
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st.write(df.head()) |
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if st.checkbox("Show data types"): |
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st.write(df.dtypes) |
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if st.checkbox("Show summary statistics"): |
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st.write(df.describe()) |
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elif feature == "Data Cleaning": |
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st.header("Data Cleaning and Preprocessing") |
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df_cleaned = data_processor.clean_data() |
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st.write("Cleaned data shape:", df_cleaned.shape) |
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st.write(df_cleaned.head()) |
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if st.button("Save Cleaned Data"): |
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save_data(df_cleaned, "cleaned_data.csv") |
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st.success("Cleaned data saved successfully!") |
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elif feature == "Data Visualization": |
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st.header("Data Visualization") |
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visualizer.create_visualizations(df) |
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elif feature == "Data Analysis": |
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st.header("Data Analysis") |
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analyzer.perform_analysis(df) |
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elif feature == "AI Insights": |
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st.header("AI-Powered Insights") |
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openai_agent.generate_insights(df) |
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elif feature == "Time Series Analysis": |
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st.header("Time Series Analysis") |
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time_series_analyzer.analyze(df) |
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elif feature == "Machine Learning": |
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st.header("Machine Learning") |
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ml.perform_ml_tasks(df) |
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elif feature == "Text Analysis": |
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st.header("Text Analysis") |
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text_analyzer.analyze_text(df) |
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elif feature == "Geospatial Analysis": |
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st.header("Geospatial Analysis") |
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geo_analyzer.analyze_geospatial_data(df) |
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elif feature == "Custom AI Tasks": |
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st.header("Custom AI Tasks") |
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openai_agent.custom_ai_task(df) |
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else: |
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st.write("Please upload a CSV file to get started.") |
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st.sidebar.markdown("---") |
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st.sidebar.info("Developed by Your Company Name") |
