da

app.py

@@ -1,10 +1,15 @@
 import gradio as gr
+import pandas as pd
+from sklearn.linear_model import LinearRegression
 
+lr = LinearRegression()
 
-def greet(name, image):
-    return "Hello " + name + "!!", image
 
+def greet(text, file):
+    df = pd.read_csv(file)
+    model = lr.fit(df)
+    return model.predict(text)
 
-iface = gr.Interface(
-    fn=greet, inputs=["text", "image"], outputs=["text", "image"])
+
+iface = gr.Interface(fn=greet, inputs=["text", "file"], outputs="text")
 iface.launch()