Update app.py

Output tensors and their text representation

app.py

@@ -176,9 +176,10 @@ def generate(starting_text):
     #response = gpt2_tensors
     for i, x in enumerate(gpt2_tensors):
         response=response+f"{i}: {gpt2_tkn.decode(x, skip_special_tokens=True)}" # Decode tensors into text
-    return response
+    return gpt2_tensors, response
 
 txt=grad.Textbox(lines=1, label="English", placeholder="English Text here")
-out=grad.Textbox(lines=1, label="Generated Tensors")
+out_tensors=grad.Textbox(lines=1, label="Generated Tensors")
+out_text=grad.Textbox(lines=1, label="Generated Text")
 
-grad.Interface(generate, inputs=txt, outputs=out).launch()
+grad.Interface(generate, inputs=txt, outputs=[out_tensors, out_text]).launch()