Update app.py

app.py

@@ -10,30 +10,28 @@ pos_tags = ['ADJ', 'ADP', 'ADV', 'AUX', 'CONJ', 'DET', 'INTJ', 'NOUN', 'NUM', 'P
 def generate_sentence():
     result = text_generator('')[0]
     sentence = result['generated_text']
-    return sentence
+    tagged_words = analyze_sentence(sentence)
+    return sentence, [word for word, _ in tagged_words]
 
 def analyze_sentence(sentence):
     doc = nlp(sentence)
     tagged_words = [(token.text, token.pos_) for token in doc]
     return tagged_words
 
-def check_answer(sentence, answer):
+def check_answer(sentence, *args):
     tagged_words = analyze_sentence(sentence)
     correct_answer = [tag for word, tag in tagged_words]
-    if answer == correct_answer:
+    user_answer = list(args)
+    if user_answer == correct_answer:
         return 'Correcto!'
     else:
         return 'Incorrecto. La respuesta correcta es: ' + str(correct_answer)
 
-def process_form(input_dict):
-    answer = [input_dict[word] for word in sorted(input_dict.keys())]
-    return check_answer(sentence, answer)
-
-sentence = generate_sentence()
-tagged_words = analyze_sentence(sentence)
-inputs = {word: gr.inputs.Dropdown(choices=pos_tags) for word, tag in tagged_words}
-inputs['submit'] = gr.inputs.Button(label='Submit')
-outputs = gr.outputs.Textbox()
-
-iface = gr.Interface(fn=process_form, inputs=inputs, outputs=outputs)
+iface = gr.Interface(fn=check_answer, 
+                     inputs=[gr.inputs.Button(label='Generate Sentence'), 
+                             gr.inputs.Dropdown(choices=pos_tags, label='Word 1'),
+                             gr.inputs.Dropdown(choices=pos_tags, label='Word 2'),
+                             # Add more dropdowns as needed
+                            ], 
+                     outputs=gr.outputs.Textbox())
 iface.launch()