Update index.html

index.html

@@ -21,36 +21,74 @@
         <gradio-lite>
             <gradio-file name="app.py" entrypoint>
 import gradio as gr
+from huggingface_hub import InferenceClient
 
-from filters import as_gray
+"""
+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("MCES10-Software/Ricky-Llama-3.2")
 
-def process(input_image):
-    output_image = as_gray(input_image)
-    return output_image
 
-demo = gr.Interface(
-    process,
-    "image",
-    "image",
-    examples=["lion.jpg", "logo.png"],
-)
+def respond(
+    message,
+    history: list[tuple[str, str]],
+    system_message,
+    max_tokens,
+    temperature,
+    top_p,
+):
+    messages = [{"role": "system", "content": system_message}]
 
-demo.launch()
-            </gradio-file>
+    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
+
+
+"""
+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 named RICKY (REALLY INTELLIGENT COMPUTING KEEPS YOU) LLAMA 3.2 1B INSTRUCT FINE TUNED BY MCES10 Software.", 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)",
+        ),
+    ],
+)
 
-            <gradio-file name="filters.py">
-from skimage.color import rgb2gray
 
-def as_gray(image):
-    return rgb2gray(image)
+if __name__ == "__main__":
+    demo.launch()
             </gradio-file>
 
-            <gradio-file name="lion.jpg" url="https://raw.githubusercontent.com/gradio-app/gradio/main/gradio/test_data/lion.jpg" />
-            <gradio-file name="logo.png" url="https://raw.githubusercontent.com/gradio-app/gradio/main/guides/assets/logo.png" />
 
             <gradio-requirements>
-# Same syntax as requirements.txt
-scikit-image
+                  huggingface_hub==0.25.2
             </gradio-requirements>
         </gradio-lite>
     </body>