Update app.py

app.py

@@ -5,13 +5,16 @@ tokenizer = AutoTokenizer.from_pretrained("mrm8488/flan-t5-small-finetuned-samsu
 
 model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/flan-t5-small-finetuned-samsum")
 
+class Input(BaseModel):
+    text: str
 
-def predict_sentiment(input: Input):
+    
+def predict_sentiment(input: Input, words):
     input_ids = tokenizer(input.text, return_tensors="pt").input_ids 
-    outputs = model.generate(input_ids, max_length=30)
+    outputs = model.generate(input_ids, max_length=words)
     return tokenizer.decode(outputs[0], skip_special_tokens=True)
 
 
-iface = gr.Interface(fn=predict_sentiment, inputs="text", outputs="text")
+iface = gr.Interface(fn=predict_sentiment, inputs=["text", gr.Slider(0, 100)], outputs="text")
 
 iface.launch()