Create app1.py

app1.py

@@ -0,0 +1,53 @@
+from huggingface_hub import InferenceClient
+import gradio as gr
+
+client = InferenceClient("""K00B404/BagOMistral_14X_Coders-ties-7B"""))
+
+def format_prompt(message, history, model):
+  prompt = f"[INST] {message} [/INST]"
+  for user_prompt, bot_response in history:
+        prompt += f"[INST] {user_prompt} [/”"
+        prompt += f" {bot_response} [/”"
+  prompt = f"[MODEL] {model} [/”" + prompt
+  return prompt
+
+def generate(prompt, history, temperature=0.2, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0, model="BagOMistral_14X_Coders-ties-7B"):
+    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, model)
+
+    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
+
+mychatbot = gr.Chatbot(avatar_images=["./user.png", "./botm.png"], bubble_full_width=False, show_label=False, show_copy_button=True, likeable=True)
+
+model_options = ["BagOMistral_14X_Coders-ties-7B", "Model2", "Model3", "Model4", "Model5", "Model6", "Model7"]
+
+demo = gr.ChatInterface(fn=generate, 
+                        chatbot=mychatbot,
+                        title="K00B404's Merged Models Test Chat",
+                        retry_btn=None,
+                        undo_btn=None,
+                        inputs=["text", "history", "temperature", "max_new_tokens", "top_p", "repetition_penalty", "model"],
+                        inputs_types={"model": "dropdown", "text": "text", "history": "text", "temperature": "number", "max_new_tokens": "number", "top_p": "number", "repetition_penalty": "number"},
+                        input_labels={"model": "Select Model", "text": "Enter Prompt", "history": "Chat History", "temperature": "Temperature", "max_new_tokens": "Max New Tokens", "top_p": "Top P", "repetition_penalty": "Repetition Penalty"},
+                        input_options={"model": model_options})
+
+demo.queue().launch(show_api=False)