Create app.py

app.py

@@ -0,0 +1,20 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load model from Hugging Face
+@st.cache_resource
+def load_model():
+    return pipeline("text-classification", model="Jayabaskar/Fintuned")  # Use your uploaded model
+
+model = load_model()
+
+st.title("Twitter Sentiment Analysis")
+text = st.text_area("Enter a tweet:")
+
+if st.button("Analyze"):
+    if text.strip():
+        with st.spinner("Analyzing..."):
+            result = model(text)
+        st.success(f"**Sentiment:** {result[0]['label']} (Score: {result[0]['score']:.2f})")
+    else:
+        st.warning("Please enter some text.")