Update app.py

app.py

@@ -1,8 +1,63 @@
-"""
 # Inference
 
 import gradio as gr
+from huggingface_hub import InferenceClient
+
+model = "meta-llama/Llama-3.2-3B-Instruct"
+client = InferenceClient(model)
+
+def fn(
+    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": "bot", "content": val[1]})
+
+    messages.append({"role": "user", "content": message})
+
+    response = ""
+
+    for message in client.chat_completion(
+        messages,
+        max_tokens = max_tokens,
+        temperature = temperature,
+        top_p = top_p,
+        stream = True,
+    ):
+        token = message.choices[0].delta.content
+
+        response += token
+        yield response
 
+app = gr.ChatInterface(
+    fn = fn,
+    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 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"),
+    ],
+    title = "Meta Llama",
+    description = model,
+    examples = [
+        ["Hello, World."]
+    ]
+)
+
+if __name__ == "__main__":
+    app.launch()
+
+"""
 app = gr.load(
     "meta-llama/Llama-3.2-3B-Instruct",
     src = "models",