Update app.py

app.py

@@ -1,6 +1,6 @@
 from huggingface_hub import from_pretrained_fastai
 import gradio as gr
-from fastai.vision.all import *
+from fastai.text.all import *
 
 repo_id = "Igmata/TwitterFinancialSentiment"
 
@@ -9,8 +9,8 @@ labels = learner.dls.vocab
 
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(txt):
-    pred,pred_idx,probs = learner.predict(img)
+    pred,pred_idx,probs = learner.predict(txt)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
     
 # Creamos la interfaz y la lanzamos. 
-gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=4))
+gr.Interface(fn=predict, inputs=gr.Text(), outputs=gr.Label(num_top_classes=4))