app.py

import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from pytrends.request import TrendReq

# Set up pytrends
trends = TrendReq()

# Function to get data
def get_data(keywords, geo, timeframe):
    trends.build_payload(kw_list=keywords, geo=geo, timeframe=timeframe)
    data = trends.interest_over_time()
    data = data.drop(columns=['isPartial'])
    return data.reset_index()

# Streamlit app
st.title("Google Trends Analysis")

# User inputs
keywords = st.text_input("Enter keywords (comma-separated)", "yapay zeka, makine öğrenmesi, derin öğrenme").split(',')
geo = "TR"  # Automatically set to TR
timeframe = st.text_input("Enter timeframe (e.g., today 5-y, 2022-01-01 2023-01-01)", "today 5-y")

# Display the selected geo
st.write(f"Selected location: Turkey (TR)")

# Get data
if st.button("Fetch Data"):
    data = get_data(keywords, geo, timeframe)
    st.session_state['data'] = data
    st.success("Data fetched successfully!")

# Visualization options
if 'data' in st.session_state:
    viz_options = [
        "Line Plot",
        "Heatmap",
        "Bar Plot",
        "Area Plot",
        "Violin Plot",
        "Box Plot",
        "Scatter Plot",
        "Pair Plot"
    ]
    
    selected_viz = st.selectbox("Select Visualization", viz_options)
    
    if selected_viz == "Line Plot":
        fig, ax = plt.subplots(figsize=(10, 6))
        sns.lineplot(data=st.session_state['data'].melt(id_vars=['date'], var_name='term', value_name='searches'),
                     x='date', y='searches', hue='term', ax=ax)
        st.pyplot(fig)
    
    elif selected_viz == "Heatmap":
        fig, ax = plt.subplots(figsize=(10, 8))
        sns.heatmap(st.session_state['data'].drop('date', axis=1).corr(), annot=True, cmap='coolwarm', ax=ax)
        st.pyplot(fig)
    
    elif selected_viz == "Bar Plot":
        fig, ax = plt.subplots(figsize=(10, 6))
        st.session_state['data'].drop('date', axis=1).mean().plot(kind='bar', ax=ax)
        ax.set_ylabel('Average Search Interest')
        st.pyplot(fig)
    
    elif selected_viz == "Area Plot":
        fig, ax = plt.subplots(figsize=(10, 6))
        st.session_state['data'].set_index('date').plot.area(ax=ax)
        ax.set_ylabel('Search Interest')
        st.pyplot(fig)
    
    elif selected_viz == "Violin Plot":
        fig, ax = plt.subplots(figsize=(10, 6))
        sns.violinplot(data=st.session_state['data'].melt(id_vars='date', var_name='term', value_name='searches'),
                       x='term', y='searches', ax=ax)
        st.pyplot(fig)
    
    elif selected_viz == "Box Plot":
        fig, ax = plt.subplots(figsize=(10, 6))
        sns.boxplot(data=st.session_state['data'].melt(id_vars='date', var_name='term', value_name='searches'),
                    x='term', y='searches', ax=ax)
        st.pyplot(fig)
    
    elif selected_viz == "Scatter Plot":
        fig, ax = plt.subplots(figsize=(10, 6))
        sns.scatterplot(data=st.session_state['data'].melt(id_vars='date', var_name='term', value_name='searches'),
                        x='date', y='searches', hue='term', ax=ax)
        st.pyplot(fig)
    
    elif selected_viz == "Pair Plot":
        fig = sns.pairplot(st.session_state['data'].drop('date', axis=1), diag_kind='kde')
        st.pyplot(fig)