gradio

app.py

@@ -1,29 +1,6 @@
 from transformers import MBartForConditionalGeneration, MBart50Tokenizer
 import dat
-import os
-import platform
-
-
-
-def setvar():
-    if platform.system() == "Windows":
-        print("Windows detected. Assigning cache directory to Transformers in AppData \ Local.")
-        transformers_cache_directory = os.path.join(os.getenv('LOCALAPPDATA'), 'transformers_cache')
-        if not os.path.exists(transformers_cache_directory):
-            try:
-                os.mkdir(transformers_cache_directory)
-                print(f"First launch. Directory '{transformers_cache_directory}' created successfully.")
-            except OSError as e:
-                print(f"Error creating directory '{transformers_cache_directory}': {e}")
-        else:
-            print(f"Directory '{transformers_cache_directory}' already exists.")
-        os.environ['TRANSFORMERS_CACHE'] = transformers_cache_directory
-        print("Environment variable assigned.")
-        del transformers_cache_directory
-
-    else:
-        print("Windows not detected. Assignment of Transformers cache directory not necessary.")
-
+import gradio as gr
 
 # Load the model and tokenizer
 model_name = "LocalDoc/mbart_large_qa_azerbaijan"
@@ -52,9 +29,11 @@ def answer_question(context, question):
     answer = tokenizer.decode(outputs[0], skip_special_tokens=True)
     return answer
 
-# Example usage
-context = dat.data
-question = "Vətəndaşın icazəsi olmadan videosunu çəkmək qadağandır?"
+demo = gr.Interface(
+    fn = answer_question,
+    inputs = ['context', 'question'],
+    outputs = ['text']
+)
+
 
-answer = answer_question(context, question)
-print(answer)
+demo.launch()