Update app.py

app.py

@@ -15,11 +15,35 @@ login(HF_TOKEN, add_to_git_credential=True)
 # Create the pipeline for text generation using the specified model
 pipe = pipeline("text-generation", model="distilbert/distilgpt2", token=HF_TOKEN)
 
+# Define the initial prompt for the system
+system_prompt = """
+You are an AI model designed to provide concise information about big data analytics across various fields without mentioning the question. Respond with a focused, one-line answer that captures the essence of the key risk, benefit, or trend associated with the topic.
+
+input: What do you consider the most significant risk of over-reliance on big data analytics in stock market risk management?
+output: Increased market volatility.
+
+input: What is a major benefit of big data analytics in healthcare?
+output: Enhanced patient care through personalized treatment.
+
+input: What is a key challenge of big data analytics in retail?
+output: Maintaining data privacy and security.
+
+input: What is a primary advantage of big data analytics in manufacturing?
+output: Improved production efficiency and predictive maintenance.
+
+input: What is a significant risk associated with big data analytics in education?
+output: Potential widening of the achievement gap if data is not used equitably.
+"""
+
 def generate(text):
     try:
+        # Combine the system prompt with the user's input
+        prompt = system_prompt + f"\ninput: {text}\noutput:"
+
         # Generate the response using the pipeline
-        responses = pipe(text, max_length=1024, num_return_sequences=1)
-        response_text = responses[0]['generated_text']
+        responses = pipe(prompt, max_length=1024, num_return_sequences=1)
+        response_text = responses[0]['generated_text'].split("output:")[-1].strip()
+
         return response_text if response_text else "No valid response generated."
     
     except Exception as e:
@@ -29,15 +53,13 @@ iface = gr.Interface(
     fn=generate,
     inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
     outputs="text",
-    title="Chuunibyou Text Generator",
-    description="Transform text into an elaborate and formal style with a nobleman tone.",
+    title="Big Data Analytics Assistant",
+    description="Provides concise information about big data analytics across various fields.",
     live=False
 )
 
 def launch_custom_interface():
     iface.launch()
-    with gr.TabbedInterface(fn=generate, inputs=gr.Textbox(lines=2, placeholder="Enter text here..."), outputs=gr.HTML(label="Output")) as ti:
-        ti.add(custom_html)
 
 if __name__ == "__main__":
     launch_custom_interface()