Update app.py

app.py

@@ -1,41 +1,46 @@
 import streamlit as st
-import pandas as pd
-import matplotlib.pyplot as plt
-import seaborn as sns
-import numpy as np
-
-
-
-
-# App Title
-st.title("📊 Streamlit Data Analysis Tool")
-
-# Upload CSV File
-uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
-
-if uploaded_file:
-    df = pd.read_csv(uploaded_file)
-    st.write("### Preview of Uploaded Data")
-    st.dataframe(df.head())
-
-    # Dropdown for column selection
-    numeric_cols = df.select_dtypes(include=['number']).columns.tolist()
-    if numeric_cols:
-        col_to_analyze = st.selectbox("Select a column to analyze", numeric_cols)
-
-        # Summary statistics
-        st.write("### Summary Statistics")
-        st.write(df[col_to_analyze].describe())
-
-        # Histogram Slider
-        bins = st.slider("Number of bins for histogram", min_value=5, max_value=50, value=20)
-
-        # Plot Histogram
-        fig, ax = plt.subplots()
-        sns.histplot(df[col_to_analyze], bins=bins, kde=True, ax=ax)
-        st.pyplot(fig)
+import google.generativeai as genai
+
+# Configure Gemini API (Replace with your own API key)
+GOOGLE_API_KEY = "YOUR_GOOGLE_API_KEY"
+genai.configure(api_key=GOOGLE_API_KEY)
+
+# Function to generate a funny story
+def get_funny_story(query, style, length):
+    prompt = (
+        f"Write a funny short story based on this query: '{query}'. "
+        f"Make it {length} sentences long and style it as {style}. "
+        "The story should be humorous and entertaining."
+    )
+    
+    try:
+        model = genai.GenerativeModel("gemini-pro")
+        response = model.generate_content(prompt)
+        return response.text
+    except Exception as e:
+        return f"Error generating story: {e}"
+
+# Streamlit UI
+st.title("😂 Funny Story Generator")
+
+# User Input: Query
+query = st.text_input("Enter a topic or query for your funny story:")
+
+# User Input: Story Style (Dropdown)
+style = st.selectbox(
+    "Select a storytelling style:",
+    ["Witty and Sarcastic", "Goofy and Childish", "Epic and Dramatic", "Absurd and Nonsensical"]
+)
+
+# User Input: Story Length (Slider)
+length = st.slider("Select story length (in sentences)", min_value=3, max_value=15, value=7)
+
+# Generate Story Button
+if st.button("Generate Funny Story"):
+    if query.strip():
+        story = get_funny_story(query, style, length)
+        st.subheader("📖 Your Funny Story:")
+        st.write(story)
     else:
-        st.warning("No numeric columns found in the dataset.")
+        st.warning("Please enter a query for your story.")
 
-else:
-    st.info("Please upload a CSV file to get started.")