sen-2 1st

app.py

@@ -1,17 +1,17 @@
 import gradio as gr
 from transformers import pipeline
 
-pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
+pipeline = pipeline(task="sentiment-analysis")
 
-def predict(input_img):
-    predictions = pipeline(input_img)
-    return input_img, {p["label"]: p["score"] for p in predictions} 
+def predict(input_text):
+    predictions = pipeline(input_text)
+    return input_text, {p["label"]: p["score"] for p in predictions} 
 
 gradio_app = gr.Interface(
-    predict,
-    inputs=gr.Image(label="Select hot dog candidate", sources=['upload', 'webcam'], type="pil"),
-    outputs=[gr.Image(label="Processed Image"), gr.Label(label="Result", num_top_classes=2)],
-    title="Hot Dog? Or Not?",
+    fn=predict,
+    inputs="text",
+    outputs="text",
+    title="我能做文本的情绪二分类",
 )
 
 if __name__ == "__main__":