reddy

app.py

@@ -1,65 +1,28 @@
 import gradio as gr
-from llama_cpp import Llama
 
-"""
-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
-"""
-
-llm = Llama.from_pretrained("bartowski/starcoder2-15b-instruct-v0.1-GGUF", filename="starcoder2-15b-instruct-v0.1-Q6_K.gguf", n_gpu_layers=99, n_ctx=16384)
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    top_k
-):
-    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 llm.create_chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-        top_k=42,
-    ):
-        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()
+def code_block(code):
+    # Add your code logic here
+    # This function will be called when the submit button is clicked
+    pass
+
+code_input = gr.inputs.Code(label="Enter your code here")
+submit_button = gr.outputs.Button(label="Submit")
+
+options = [
+    gr.outputs.Accordion([
+        gr.outputs.Checkbox(label="Option 1"),
+        gr.outputs.Checkbox(label="Option 2"),
+        gr.outputs.Checkbox(label="Option 3")
+    ], label="Options")
+]
+# COnvert this to gr.Blocks()
+
+with gr.Blocks() as apps:
+    with gr.Row():
+        mdn = gr.Markdown("## StarCoder 15b Instruct\n\n---\n\n")
+    with gr.Row():
+        code = gr.Code("// Enter some Javascript here to interact with StarCoder.\n\nconsole.log(\"StarCoder says")
+    with gr.Row():
+        btn = gr.Button("Complete with StarCoder")
+    btn.click(code_block, inputs=[code, mdn], outputs=[code, mdn])
+apps.launch(share=False, debug=True)