Add all files

README.md

@@ -1,13 +1,21 @@
 ---
 title: Sentiment Analysis
-emoji: 🏃
+emoji: 📊
 colorFrom: blue
-colorTo: red
+colorTo: green
 sdk: gradio
 sdk_version: 5.11.0
 app_file: app.py
 pinned: false
 license: mit
+tags:
+  - sentiment-analysis
+  - NLP
+  - machine-learning
+  - gradio
+  - transformers
+models:
+  - distilbert-base-uncased-finetuned-sst-2-english
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load model
+sentiment_model = pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+# Define function for inference
+def analyze_sentiment(text):
+    results = sentiment_model(text)
+    return f"Sentiment: {results[0]['label']} (Confidence: {results[0]['score']:.2f})"
+
+# Create Gradio interface
+interface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
+    outputs="text",
+    title="Sentiment Analysis App",
+    description="Enter a sentence to analyze its sentiment using a fine-tuned DistilBERT model.",
+)
+
+# Launch the app
+if __name__ == "__main__":
+    interface.launch()

requirements.txt

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+torch
+gradio
+transformers