Update app.py

app.py

@@ -2,22 +2,10 @@ import gradio as gr
 
 class TafGPT:
     def generate_response(self, user_input):
-        technology_topics = {
-            "machine learning": "Machine learning is a fascinating field that involves training computers to learn from data and make predictions.",
-            "python programming language": "Python is a versatile programming language known for its simplicity and readability. It's widely used in various domains, including web development and data science.",
-            "web development": "Web development includes designing and building websites. Front-end development focuses on user interfaces, while back-end development handles server-side logic.",
-            "artificial intelligence": "Artificial Intelligence (AI) refers to the simulation of human intelligence in machines, enabling them to perform tasks that typically require human intelligence.",
-            "data science": "Data science involves extracting insights and knowledge from structured and unstructured data. It combines expertise in statistics, mathematics, and programming.",
-            "cybersecurity": "Cybersecurity aims to protect computer systems, networks, and data from cyber threats and attacks. It includes measures to ensure the confidentiality, integrity, and availability of information.",
-            "cloud computing": "Cloud computing provides on-demand access to computing resources, such as storage, processing power, and databases, over the internet.",
-        }
+        # Replace this with your own logic or use external APIs for more advanced responses
+        response = f"Taf-gpt: Thank you for your input: '{user_input}'. I'm a simple chatbot for now."
 
-        if user_input.lower() in technology_topics:
-            response = f"Taf-gpt: {technology_topics[user_input.lower()]}"
-        else:
-            response = "Taf-gpt: I'm sorry, I'm specialized in technology topics. Feel free to ask me about machine learning, Python programming language, web development, artificial intelligence, data science, cybersecurity, or cloud computing!"
-
-        return f"User: {user_input}\n{Taf-gpt: {response}"
+        return response
 
 # Create an instance of TafGPT
 taf_gpt = TafGPT()
@@ -25,17 +13,11 @@ taf_gpt = TafGPT()
 # Define Gradio interface
 iface = gr.Interface(
     fn=taf_gpt.generate_response,
-    inputs=gr.Textbox(),
-    outputs=gr.Textbox(),
+    inputs="text",
+    outputs="text",
     live=True,
-    title="Taf-gpt Technology Chatbot",
-    description="Explore technology topics with Taf-gpt! Choose a predefined topic or ask your own questions.",
-    examples=[
-        ["Tell me about machine learning"],
-        ["What is Python programming language?"],
-        ["Web development best practices"],
-        ["What is artificial intelligence?"]
-    ],
+    title="Taf-gpt Chatbot",
+    description="Welcome to Taf-gpt! Enter your message below.",
 )
 
 # Launch the Gradio interface