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Update app.py
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app.py
CHANGED
@@ -4,40 +4,46 @@ import chardet
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# Initialize the question-answering pipeline
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#qa_pipeline = pipeline("question-answering",model="deepset/roberta-base-squad2")
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qa_pipeline = pipeline("question-answering",model="distilbert-base-cased-distilled-squad")
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def answer_question(context, question):
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result = qa_pipeline(question=question, context=context)
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return result['answer']
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def process(context_file, question):
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# Read the context from the uploaded file
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#with open(context_file.name, 'r') as file:
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#context = file.read()
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with open(context_file.name, 'rb') as file:
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raw_data = file.read()
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result = chardet.detect(raw_data)
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encoding = result['encoding']
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# Fallback to a default encoding if detection fails
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if encoding is None:
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encoding = 'utf-8' #
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context = raw_data.decode(encoding, errors='replace') # Replace errors with a placeholder
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answer = answer_question(context, question)
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return answer
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# Gradio interface
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demo = gr.Interface(
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fn=process,
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inputs=[
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outputs=[gr.Textbox(label="Answer")],
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title="Question Answering",
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description="Upload a file with context and ask a question. The answer will be displayed."
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)
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if __name__ == "__main__":
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# Initialize the question-answering pipeline
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#qa_pipeline = pipeline("question-answering",model="deepset/roberta-base-squad2")
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qa_pipeline = pipeline("question-answering", model="distilbert-base-cased-distilled-squad")
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def answer_question(context, question):
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result = qa_pipeline(question=question, context=context)
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return result['answer']
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def process(context_file, question):
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# Read the context from the uploaded file
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with open(context_file.name, 'rb') as file:
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raw_data = file.read()
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result = chardet.detect(raw_data)
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encoding = result['encoding']
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# Fallback to a default encoding if detection fails
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if encoding is None:
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encoding = 'utf-8' # Default encoding
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context = raw_data.decode(encoding, errors='replace') # Replace errors with a placeholder
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answer = answer_question(context, question)
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return answer
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# Example context file content
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example_context = """Saudi Arabia, officially known as the Kingdom of Saudi Arabia (KSA), is a country in Western Asia. Riyadh is its capital and largest city. The country is known for its vast deserts and rich cultural heritage."""
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# Save example context to a file
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with open("example_context.txt", "w", encoding="utf-8") as f:
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f.write(example_context)
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# Gradio interface
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demo = gr.Interface(
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fn=process,
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inputs=[
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gr.File(label="Upload Context File", file_types=[".txt"], file_path="example_context.txt"),
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gr.Textbox(label="Question", value="What is the capital city of Saudia Arabia?")
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],
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outputs=[gr.Textbox(label="Answer")],
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title="Question Answering",
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description="Upload a file with context and ask a question. The answer will be displayed.",
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examples=[["example_context.txt", "What is the capital city of Saudia Arabia?"]]
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)
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if __name__ == "__main__":
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