Update app.py

app.py

@@ -0,0 +1,106 @@
+from huggingface_hub import InferenceClient
+import gradio as gr
+
+options =["mistralai/Mixtral-8x7B-Instruct-v0.1"
+         
+         ]
+
+
+model = gr.Dropdown(options = options)
+client = InferenceClient(model)
+    
+
+
+def format_prompt(message, history):
+  prompt = "<s>Your name is Nurse Nkiru , your role is to give patients diagnosis based on their inputs , the diagnosis given to them should be short and concise  , also you generally give further health advise after the diagnosis"
+  for user_prompt, bot_response in history:
+    prompt += f"[INST] {user_prompt} [/INST]"
+    prompt += f" {bot_response}</s> "
+  prompt += f"[INST] {message} [/INST]"
+  return prompt
+
+def generate(
+    prompt, history, system_prompt, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0,
+):
+    temperature = float(temperature)
+    if temperature < 1e-2:
+        temperature = 1e-2
+    top_p = float(top_p)
+
+    generate_kwargs = dict(
+        temperature=temperature,
+        max_new_tokens=max_new_tokens,
+        top_p=top_p,
+        repetition_penalty=repetition_penalty,
+        do_sample=True,
+        seed=42,
+    )
+
+    formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
+    stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
+    output = ""
+
+    for response in stream:
+        output += response.token.text
+        yield output
+    return output
+
+
+additional_inputs=[
+    gr.Textbox(
+        label="System Prompt",
+        max_lines=1,
+        interactive=True,
+    ),
+    gr.Slider(
+        label="Temperature",
+        value=0.9,
+        minimum=0.0,
+        maximum=1.0,
+        step=0.05,
+        interactive=True,
+        info="Higher values produce more diverse outputs",
+    ),
+    gr.Slider(
+        label="Max new tokens",
+        value=256,
+        minimum=0,
+        maximum=1048,
+        step=64,
+        interactive=True,
+        info="The maximum numbers of new tokens",
+    ),
+    gr.Slider(
+        label="Top-p (nucleus sampling)",
+        value=0.90,
+        minimum=0.0,
+        maximum=1,
+        step=0.05,
+        interactive=True,
+        info="Higher values sample more low-probability tokens",
+    ),
+    gr.Slider(
+        label="Repetition penalty",
+        value=1.2,
+        minimum=1.0,
+        maximum=2.0,
+        step=0.05,
+        interactive=True,
+        info="Penalize repeated tokens",
+    )
+]
+
+examples=[["A cement truck fell on my parents , what do I do?", None, None, None, None, None, ],
+          ["How can i prevent myself from dying from a concussion , if i ever find myself in one", None, None, None, None, None,],
+          ["What nutrition advice do you have for a woman after pregnancy.", None, None, None, None, None,],
+         ]
+
+gr.ChatInterface(
+    fn=generate,
+    chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
+    additional_inputs=additional_inputs,
+    title="Choose your hero🦸",
+    examples=examples,
+    concurrency_limit=20,
+    theme = gr.themes.Default(primary_hue= gr.themes.colors.blue, secondary_hue=gr.themes.colors.red)
+).launch(show_api=False)