add model.pkl

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from joblib import load
+
+
+model = load('model.pkl')
+
+
+def predict_sentiment(text: str)-> str:
+
+    
+    sentiment_map = {
+        -1: 'Negative',
+        0: 'Neutral',
+        1: 'Positive'
+    }
+
+    prediction = model.predict([text])[0]
+    return sentiment_map[prediction]
+
+demo = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text")
+demo.launch()

flagged/log.csv

@@ -0,0 +1,2 @@
+text,output,flag,username,timestamp
+,Neutral,,,2024-09-08 20:14:35.183702

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44ed68e32ead5f00587f82409258ba1dd75d1b1e384af8596e12de581cfc73a4
+size 11996610