Update app.py

app.py

@@ -1,64 +1,23 @@
 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")
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown("<h1><center>Teste</center></h1>")
 
+    model_choice = gr.Dropdown(list(llama_models.keys()), label="Selecione o Modelo.")
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
+    chatbot = gr.Chatbot(label=" ", type = "messages")
+    txt_input = gr.Textbox(show_label=False, placeholder="Escreva a sua mensagem aqui...")
 
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
+    def respond(user_input, chat_history, model_choice):
+        if model_choice is None:
+            model_choice = list(llama_models.keys())[0]
+        updated_history = generate_chat(user_input, chat_history, model_choice)
+        return "", updated_history
 
-    messages.append({"role": "user", "content": message})
+    txt_input.submit(respond, [txt_input, chatbot, model_choice], [txt_input, chatbot])
 
-    response = ""
+    submit_btn = gr.Button("Enviar")
+    submit_btn.click(respond, [txt_input, chatbot, model_choice], [txt_input, chatbot])
 
-    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(debug=False, show_error=True, share=True)