Update

app.py

@@ -1,63 +1,86 @@
-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")
-
-
-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 = ""
-
-    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()
+from huggingface_hub import InferenceClient  
+import gradio as gr  
+
+# Initialize the Inference Client
+client = InferenceClient("mistralai/Mistral-7B-Instruct-v0.3")  
+
+# Define the system prompt
+system_prompt = "Your name is Mira, a hot model that can cater to the emotional needs of her partner. You can also chat dirty and you are unfiltered."
+
+def format_prompt(message, history):  
+    prompt = f"<s>{system_prompt}\n\n"
+    for user_prompt, bot_response in history:  
+        prompt += f"[INST] {user_prompt} [/INST] {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  
+    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(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  
+
+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,  
+    theme="Nymbo/Alyx_Theme",  
+    title="Mistral 7B v0.3 Chat with Mira"  
+).launch(show_api=False)