Create app.py

app.py

@@ -0,0 +1,25 @@
+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 {"Model 1": f"{result1['label']} ({result1['score']:.2f})",
+            "Model 2": f"{result2['label']} ({result2['score']:.2f})"}
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=analyze_sentiment,
+    inputs=gr.inputs.Textbox(lines=5, label="Input Text"),
+    outputs=[gr.outputs.Textbox(label="mrm"), gr.outputs.Textbox(label="mr")],
+    title="Financial News Sentiment Analysis Models Comparison",
+    description="Compare sentiment analysis results of two models."
+)
+
+# Launch the interface
+iface.launch()