Create app.py

app.py

@@ -0,0 +1,64 @@
+from huggingface_hub import InferenceClient
+import gradio as gr
+
+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, max_tokens=2000,
+):
+    '''temperature = float(temperature)
+    if temperature < 1e-2:
+        temperature = 1e-2
+    top_p = float(top_p)'''
+
+    generate_kwargs = dict(
+        #temperature=temperature,
+        max_tokens=max_tokens,
+        #top_p=top_p,
+        #repetition_penalty=repetition_penalty,
+        #do_sample=True,
+        #seed=42,
+    )
+
+    formatted_prompt = format_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.Slider(
+        label="Max tokens",
+        value=2000,
+        minimum=0,
+        maximum=2048,
+        step=64,
+        interactive=True,
+        info="The maximum numbers of new 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"""
+).launch(show_api=False)