Update app.py

app.py

@@ -1,3 +1,62 @@
 import gradio as gr
+import os 
+from pathlib import Path
+import argparse
+model_file = "yi-6b.Q4_0.gguf"
+if not os.path.isfile(model_file):
+    os.system("wget -c https://huggingface.co/zgce/Yi-6B-Chat-spicy_GGUF/blob/main/Yi-6B-Chat-spicy_Q6_K.gguf")
 
-gr.load("models/01-ai/Yi-6B-Chat-4bits").launch()
+DEFAULT_MODEL_PATH = model_file
+
+from llama_cpp import Llama
+llm = Llama(model_path=model_file, model_type="mistral")
+
+
+def predict(input, chatbot, max_length, top_p, temperature, history):
+    chatbot.append((input, ""))
+    response = ""
+    history.append(input)
+
+    for output in llm(input, stream=True, temperature=temperature, top_p=top_p, max_tokens=max_length, ):
+        piece = output['choices'][0]['text']
+        response += piece
+        chatbot[-1] = (chatbot[-1][0], response)
+
+        yield chatbot, history
+
+    history.append(response)
+    yield chatbot, history
+
+
+def reset_user_input():
+    return gr.update(value="")
+
+
+def reset_state():
+    return [], []
+
+
+with gr.Blocks() as demo:
+    gr.HTML("""<h1 align="center">Yi-6B-GGUF by llama-cpp-python</h1>""")
+
+    chatbot = gr.Chatbot()
+    with gr.Row():
+        with gr.Column(scale=4):
+            user_input = gr.Textbox(show_label=False, placeholder="Input...", lines=8)
+            submitBtn = gr.Button("Submit", variant="primary")
+        with gr.Column(scale=1):
+            max_length = gr.Slider(0, 32048, value=2048, step=1.0, label="Maximum Length", interactive=True)
+            top_p = gr.Slider(0, 1, value=0.7, step=0.01, label="Top P", interactive=True)
+            temperature = gr.Slider(0, 1, value=0.95, step=0.01, label="Temperature", interactive=True)
+            emptyBtn = gr.Button("Clear History")
+
+    history = gr.State([])
+
+    submitBtn.click(
+        predict, [user_input, chatbot, max_length, top_p, temperature, history], [chatbot, history], show_progress=True
+    )
+    submitBtn.click(reset_user_input, [], [user_input])
+
+    emptyBtn.click(reset_state, outputs=[chatbot, history], show_progress=True)
+
+demo.queue().launch(share=False, inbrowser=True)