initial commit

README.md

@@ -1,5 +1,5 @@
 ---
-title: Gradio Chatbot
+title: New Space Solution
 emoji: 💬
 colorFrom: yellow
 colorTo: purple
@@ -7,6 +7,7 @@ sdk: gradio
 sdk_version: 5.0.1
 app_file: app.py
 pinned: false
+license: mit
 ---
 
 An example chatbot using [Gradio](https://gradio.app), [`huggingface_hub`](https://huggingface.co/docs/huggingface_hub/v0.22.2/en/index), and the [Hugging Face Inference API](https://huggingface.co/docs/api-inference/index).

app.py

@@ -1,64 +1,44 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
 
+python_code = """
+def fib(n):
+    if n <= 0:
+        return 0
+    elif n == 1:
+        return 1
+    else:
+        return fib(n-1) + fib(n-2)
 """
-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 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]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    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
-
 
+js_code = """
+function fib(n) {
+    if (n <= 0) return 0;
+    if (n === 1) return 1;
+    return fib(n - 1) + fib(n - 2);
+}
 """
-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()
+def chat(message, history):
+    if "python" in message.lower():
+        return "Type Python or JavaScript to see the code.", gr.Code(language="python", value=python_code)
+    elif "javascript" in message.lower():
+        return "Type Python or JavaScript to see the code.", gr.Code(language="javascript", value=js_code)
+    else:
+        return "Please ask about Python or JavaScript.", None
+
+with gr.Blocks() as demo:
+    code = gr.Code(render=False)
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("<center><h1>Write Python or JavaScript</h1></center>")
+            gr.ChatInterface(
+                chat,
+                examples=["Python", "JavaScript"],
+                additional_outputs=[code],
+                type="messages"
+            )
+        with gr.Column():
+            gr.Markdown("<center><h1>Code Artifacts</h1></center>")
+            code.render()
+
+demo.launch()

requirements.txt

@@ -1 +0,0 @@
-huggingface_hub==0.25.2