Update app.py

app.py

@@ -1,63 +1,29 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import random
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
 
+def greet_number(name):
+    greeting = "Hello " + name
+    lucky_number = random.randint(1, 100)
+    return greeting, lucky_number
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+desc = "This Gradio app **GreetLucky** takes a *name as input* and creates " \
+       "a friendly greeting along with a randomly assigned ***lucky number between 1 and 100.***"
 
-    messages.append({"role": "user", "content": message})
+article = "<h3>How to Use:</h3> " \
+          "<ul><li>Open the GreetLucky app.</li> " \
+          "<li>Enter your name in the provided input box.</li>" \
+          "<li>Click on the 'Submit' button. <strong>Voila!</strong>. Your personalized greeting " \
+          "and lucky number will appear on the screen.</li></ul>"
 
-    response = ""
+demo = gr.Interface(fn=greet_number,
+                    inputs=gr.Textbox(label="Name", placeholder="Enter Name Here"),
+                    outputs=[gr.Textbox(label="Greeting"), gr.Number(label="Your Lucky Number")],
+                    title="GreetLucky",
+                    description=desc,
+                    article=article,
+                    theme="gradio/seafoam"  # <-- String representation of Theme passed to theme= parameter
+                    )
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
-
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
-
-
-if __name__ == "__main__":
-    demo.launch()
+demo.launch()