Create app.py

app.py

@@ -0,0 +1,32 @@
+import torch 
+import gradio as gr
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("question-answering", model="deepset/roberta-base-squad2")
+
+
+def read_file_content(file_obj):
+    try:
+        with open(file_obj.name, "r", encoding="utf-8") as f:
+            content = f.read()
+        return content
+    except Exception as e:
+        return f"An error occurred: {e}"
+
+
+def get_answer(file, question):
+    context= read_file_content(file)
+    answer = pipe(question=question, context = context)
+    return (answer['answer'])
+
+demo = gr.Interface(fn=get_answer,
+                    inputs= [gr.File(label="Upload the file for context"), gr.Textbox(label='Ask the question')],
+                    outputs=[gr.Textbox(label='Here is the answer to your question')],
+                    title='Get the Answers to your question',
+                    description='This application gives the answers to your questions'
+                    
+        
+)
+demo.launch()