Update Home.py

Home.py

@@ -1,13 +1,20 @@
+import pandas as pd
 import streamlit as st
-import numpy as np
-from tensorflow.keras.models import load_model
-from PIL import Image
-from transformers import pipeline
-model = pipeline("sentiment-analysis")
-
-st.title("Convolution_Neural_Network")
-user_input = st.text_area("Enter text for analysis")
-
-if st.button("Analyze"):
-    result = model(user_input)
-    st.write("Result:", result)
+from datasets import Dataset
+
+
+st.title("Convolutional Neural Networks")
+#pd.read_csv("C:\Users\lenovo\OneDrive\Desktop\output.csv")
+uploaded_file = st.file_uploader(r"C:\Users\lenovo\OneDrive\Desktop\output.csv", type="csv")
+
+# Check if a file is uploaded
+if uploaded_file is not None:
+    # Read the CSV file into a Pandas DataFrame
+    df = pd.read_csv(uploaded_file).sample(10)
+
+    # Display the Pandas DataFrame
+    st.write("Here is the DataFrame loaded from your CSV file:")
+    st.dataframe(df)
+
+    # Optionally, convert the DataFrame to a Hugging Face Dataset
+    hf_dataset = Dataset.from_pandas(df)