Update app.py

app.py

@@ -1,4 +1,67 @@
 import gradio as gr
+from huggingface_hub import InferenceClient
 
+"""
+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")
+#client = InferenceClient("meta-llama/Llama-3.2-1B-Instruct")
+#client = InferenceClient("microsoft/Phi-3.5-mini-instruct")
+#client = InferenceClient("unsloth/Llama-3.2-1B-Instruct")
+client = InferenceClient("unsloth/Llama-3.2-90B-Vision-Instruct")
 
-gr.load("models/unsloth/Llama-3.2-90B-Vision-Instruct-bnb-4bit").launch()
+
+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 = ""
+
+
+    mensagens = client.chat_completion(
+        messages,
+        max_tokens=max_tokens,
+        temperature=temperature,
+        top_p=top_p,
+    )
+    response = mensagens.choices[0].message.content
+
+    return 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="Você se chama Esquizofrenia, você é irônico e tímido", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=256, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.6, 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()