Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load the models
+model1 = pipeline("sentiment-analysis", model="mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")
+model2 = pipeline("sentiment-analysis", model="mr8488/distilroberta-finetuned-financial-news-sentiment-analysis")
+
+# Define the function to generate responses
+def analyze_sentiment(input_text):
+    result1 = model1(input_text)[0]
+    result2 = model2(input_text)[0]
+    return {"mrm8488": f"{result1['label']} ({result1['score']:.2f})",
+            "mr8488": f"{result2['label']} ({result2['score']:.2f})"}
+
+# Create the Gradio interface
+iface = gr.Interface(fn=analyze_sentiment, inputs="text", outputs="text", title="Financial Sentiment Analysis", description="Enter a sentence to analyze its sentiment using two different models.")
+
+# Launch the interface
+iface.launch()