Create app.py

app.py

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+
+###Implement a question answering system using Gradio's lower-level API. The system features two input fields: the first for the context and the second for the user's question. The system then outputs the model's response
+"""
+
+#Install Libraries
+!pip install gradio
+
+#Import libraries
+import gradio as gr
+from transformers import pipeline
+
+# Load the question-answering pipeline #using deepset/roberta-base-squad2 model
+qa_model = pipeline("question-answering", model="deepset/roberta-base-squad2")
+
+#Define the context #Cryptocurrency as the topic
+context = """
+Cryptocurrency is a digital currency secured by cryptography, existing on decentralized networks using blockchain technology.
+It is not issued by any central authority, making it theoretically immune to government interference.
+Blockchain is a connected set of blocks of information on an online ledger, containing verified transactions.
+Cryptocurrencies like Ethereum's ether and Ripple XRP serve specific purposes on their blockchains.
+The legal status of cryptocurrencies varies by country; in the US, they are considered a form of money.
+Despite risks like scams and volatility, cryptocurrencies have a market capitalization of about $1.2 trillion.
+They offer advantages such as easier fund transfers but also have disadvantages like criminal uses and volatile prices.
+"""
+
+
+# List of questions  #sample questions that users might ask
+questions = [
+    "What is cryptocurrency and how is it secured?",
+    "Can you explain how blockchain technology is related to cryptocurrencies?",
+    "What are the different types of cryptocurrencies and their purposes?",
+    "Are cryptocurrencies legal, and how does their legal status vary by country?",
+    "What safety measures should I consider when investing in cryptocurrencies?",
+    "What are the advantages and disadvantages of investing in cryptocurrencies?",
+    "How can I buy cryptocurrencies, and what are the options available?",
+    "How does the regulatory landscape affect the use and investment in cryptocurrencies?",
+    "What are the risks associated with investing in cryptocurrencies, and how can I mitigate them?",
+    "Can you provide a summary of the key points about cryptocurrency?"
+]
+
+# Print the questions  #sample questions that users might ask
+for i, question in enumerate(questions, 1):
+    print(f"Question {i}: {question}")
+
+# Define a function to get the model's response
+def get_response(context, question):
+    answer = qa_model(question=question, context=context)["answer"]
+    return answer
+
+# Define the interface components
+context_textbox = gr.Textbox(lines=10, label="Context")
+question_textbox = gr.Textbox(label="Question")
+output_label = gr.Label(label="Response: ")
+
+interface = gr.Interface(
+    fn=get_response,
+    inputs=[context_textbox, question_textbox],
+    outputs=output_label,
+    title="Cryptocurrency QA System",
+    description="Ask a question about cryptocurrency.",
+)
+
+# Launch the interface
+interface.launch()