Update app.py

app.py

@@ -1,18 +1,22 @@
-from huggingface_hub import InferenceAPI
-from urllib.parse import urlparse, parse_qs
+from huggingface_hub import InferenceClient
 import gradio as gr
 
-api = InferenceAPI("mistralai/Mistral-7B-Instruct-v0.1")
+client = InferenceClient(
+    "mistralai/Mistral-7B-Instruct-v0.1"
+)
+
 
 def format_prompt(message, history):
-    prompt = "<s>"
-    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, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
+  prompt = "<s>"
+  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, 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
@@ -28,28 +32,59 @@ def generate(prompt, history, temperature=0.9, max_new_tokens=256, top_p=0.95, r
     )
 
     formatted_prompt = format_prompt(prompt, history)
-    response = api.generate_text(formatted_prompt, **generate_kwargs)
-    return response
-
-def chatbot(message):
-    history = []
-    response = generate(message, history)
-    history.append(("User", message))
-    history.append(("ChatBot", response))
-    return response
-
-def get_message_from_url():
-    url = urlparse(gradio.Interface.get_share_url())
-    query_params = parse_qs(url.query)
-    if "message" in query_params:
-        return query_params["message"][0]
-    return ""
-
-message = get_message_from_url()
-inputs = gr.inputs.Textbox(lines=2, placeholder="Type your message here...", initial_message=message)
-outputs = gr.outputs.Textbox()
-
-title = "Mistral 7B Chatbot"
-description = "Chat with Mistral 7B, a powerful language model!"
-
-gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title, description=description).launch()
+
+    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.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",
+    )
+]
+
+
+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="""Mistral 7B 01"""
+).launch(show_api=True)