Create app.py

app.py

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+# Install dependencies if not already installed
+# !pip install gradio transformers
+
+import gradio as gr
+from transformers import pipeline
+
+# Load sentiment analysis pipeline
+pipe = pipeline('sentiment-analysis')
+# For financial sentiment analysis you can use:
+# pipe = pipeline("text-classification", model="ProsusAI/finbert")
+
+# Define function
+def analyze_sentiment(text):
+    if text.strip() == "":
+        return {"error": "Please enter some text."}
+    result = pipe(text)
+    return result
+
+# Gradio Interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Sentiment Analysis with Transformers")
+
+    with gr.Row():
+        text_input = gr.Textbox(
+            label="Enter your input:",
+            placeholder="Type text here...",
+            lines=4
+        )
+    
+    output = gr.JSON(label="Output")
+
+    analyze_button = gr.Button("Analyze Sentiment")
+
+    analyze_button.click(
+        fn=analyze_sentiment,
+        inputs=text_input,
+        outputs=output
+    )
+
+# Launch app
+if __name__ == "__main__":
+    demo.launch()