From 30c35eefe6cee55b8eb9868164c7a683599e88c0 Mon Sep 17 00:00:00 2001
From: swetha-create-tech <developerswetha65@gmail.com>
Date: Sun, 26 Oct 2025 12:40:54 +0530
Subject: [PATCH 1/2] Add files via upload

---
 typeconversion.py | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 typeconversion.py

diff --git a/typeconversion.py b/typeconversion.py
new file mode 100644
index 00000000..2c6a96a3
--- /dev/null
+++ b/typeconversion.py
@@ -0,0 +1,18 @@
+# Sno 3 : "Type Conversion and validation examples: Implement a Python program to type conversion and validation examples"
+
+#conversion of tuple to list
+tuple=(1,2,3,4,5)
+list1=list(tuple)
+print("conversion of tuple to list",list1)
+#conversion of int to float
+a=22
+print("conversion of int to float",float(a))
+#conversion of float to int
+b=33.0
+print("conversion of float to int",int(b))
+#int to string conversion
+c=7888
+print("int to string conversion",str(c))
+#string len to float
+s="swe"
+print("string to float",float(len(s)))
\ No newline at end of file

From 7837cd33c411cb4e6829b500eb869a2b3c02b4eb Mon Sep 17 00:00:00 2001
From: swetha-create-tech <developerswetha65@gmail.com>
Date: Fri, 31 Oct 2025 10:54:26 +0530
Subject: [PATCH 2/2] Add files via upload

---
 SentimentAnalysis.py | 23 +++++++++++++++++++++++
 1 file changed, 23 insertions(+)
 create mode 100644 SentimentAnalysis.py

diff --git a/SentimentAnalysis.py b/SentimentAnalysis.py
new file mode 100644
index 00000000..37bad917
--- /dev/null
+++ b/SentimentAnalysis.py
@@ -0,0 +1,23 @@
+# File: SentimentAnalysis.py
+# Project: Sentiment Analysis using Pretrained Models
+
+
+from transformers import pipeline
+
+def sentiment_analysis(text):
+    # Load pretrained model and tokenizer (DistilBERT)
+    sentiment_model = pipeline("sentiment-analysis")
+
+    # Get prediction
+    result = sentiment_model(text)[0]
+
+    # Print and return result
+    print(f"\n🧠 Input Text: {text}")
+    print(f"📊 Sentiment: {result['label']} (Confidence: {result['score']:.2f})")
+
+    return result
+
+if __name__ == "__main__":
+    print("=== Sentiment Analysis using Pretrained Models ===")
+    user_input = input("Enter a sentence or paragraph: ")
+    sentiment_analysis(user_input)