Upload app.py

app.py

@@ -0,0 +1,96 @@
+import gradio as gr
+from llama_cpp import Llama
+
+llm = Llama(model_path="qwen14b-ggml-Q2_K.gguf")
+
+def format_prompt(message, history):
+  prompt = ""
+  for user_prompt, bot_response in history:
+    prompt += f"{user_prompt}"
+    prompt += f"{bot_response}"
+  prompt += f"{message}"
+  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)
+    formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
+    stream = llm(formatted_prompt, 
+                 stream=True,
+                 temperature=temperature,
+                 repeat_penalty=repetition_penalty,
+                 top_p=top_p,
+                 max_tokens=4096
+                 )
+    output = ""
+
+    for response in stream:
+        output += response['choices'][0]['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=[["你是谁？", None, None, None, None, None, ],
+          ["介绍下阿里巴巴。", None, None, None, None, None,],
+          ["I'm trying to learn French. Can you provide some common phrases that would be useful for a beginner, along with their pronunciations?", None, None, None, None, None,],
+          ["I have chicken, rice, and bell peppers in my kitchen. Can you suggest an easy recipe I can make with these ingredients?", None, None, None, None, None,],
+          ["Can you explain how the QuickSort algorithm works and provide a Python implementation?", None, None, None, None, None,],
+          ["What are some unique features of Rust that make it stand out compared to other systems programming languages like C++?", 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="qwen14b",
+    examples=examples,
+    concurrency_limit=20,
+).launch(show_api=False)