Update app.py

app.py

@@ -26,20 +26,21 @@ example_contexts = [
 ]
 
 # Function to generate questions and answers with configurable parameters
-def generate_qa(context, recommended_word, temperature, top_p, num_samples=3):
+def generate_qa(context, recommended_word, temperature, top_p,num_seq, num_samples=3):
     input_text = f"{recommended_word}: {context}"
-    input_ids = tokenizer(input_text, max_length=512, truncation=True, padding="max_length", return_tensors='pt')
+    input_text=re.sub(f'\n'," ",input_text).lower()
+    input_ids = tokenizer(input_text, return_tensors='pt')
     
     # Generate with configurable parameters
     output = model.generate(
         **input_ids,
         temperature=temperature,
         top_p=top_p,
-        num_return_sequences=3,
+        num_return_sequences=num_seq,
         do_sample=True,
         max_length=100,
         num_beams=6,
-        length_penalty=1,
+        length_penalty=1.4,
         top_k=0
     )
     
@@ -55,7 +56,9 @@ iface = gr.Interface(
         gr.inputs.Dropdown(example_contexts, label="Choose an Example"),
         gr.inputs.Radio(recommended_words, label="Choose a Recommended Word"),
         gr.inputs.Slider(minimum=0.0, maximum=2, default=2.1, step=0.01, label="Temperature"),
-        gr.inputs.Slider(minimum=0.0, maximum=1, default=0.5, step=0.01, label="Top-p")
+        gr.inputs.Slider(minimum=0.0, maximum=1, default=0.5, step=0.01, label="Top-p"),     
+        gr.inputs.Slider(minimum=1, maximum=20, default=3, step=1, label="num of sequance")
+
     ],
     outputs=gr.outputs.Textbox(label="Generated Output"),
     title="Question Generation and Answering",
@@ -63,4 +66,4 @@ iface = gr.Interface(
 )
 
 # Launch the interface
-iface.launch(shring=True)
+iface.launch()