Added app and requirements

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load model from Hugging Face
+model_name = "sohan-ai/sentiment-analysis-model-amazon-reviews"
+classifier = pipeline("sentiment-analysis", model=model_name)
+
+# Prediction function
+def predict_sentiment(text):
+    if text.strip() == "":
+        return "Please enter some text."
+
+    result = classifier(text)[0]
+    label = result["label"]
+    score = result["score"]
+
+    return f"Sentiment: {label} (Confidence: {score:.2f})"
+
+# Gradio UI
+iface = gr.Interface(
+    fn=predict_sentiment,
+    inputs=gr.Textbox(lines=5, placeholder="Enter your review here..."),
+    outputs="text",
+    title="Sentiment Analysis App",
+    description="Enter a review to classify it as Positive or Negative using a Hugging Face model."
+)
+
+# Launch app
+if __name__ == "__main__":
+    iface.launch()

requirements.txt

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+gradio
+transformers
+torch