Upload 2 files

app.py

@@ -1,69 +1,48 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
-
-
-def respond(
-    message,
-    history: list[dict[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-    hf_token: gr.OAuthToken,
-):
-    """
-    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(token=hf_token.token, model="openai/gpt-oss-20b")
-
-    messages = [{"role": "system", "content": system_message}]
-
-    messages.extend(history)
-
-    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,
-    ):
-        choices = message.choices
-        token = ""
-        if len(choices) and choices[0].delta.content:
-            token = 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
-"""
-chatbot = 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)",
-        ),
-    ],
-)
-
-with gr.Blocks() as demo:
-    with gr.Sidebar():
-        gr.LoginButton()
-    chatbot.render()
-
-
-if __name__ == "__main__":
-    demo.launch()
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+\paperw11900\paperh16840\margl1440\margr1440\vieww11520\viewh8400\viewkind0
+\deftab720
+\pard\pardeftab720\partightenfactor0
+
+\f0\fs28 \cf2 \cb3 \expnd0\expndtw0\kerning0
+\outl0\strokewidth0 \strokec2 %%writefile app.py\cf0 \cb1 \strokec4 \
+\
+\pard\pardeftab720\partightenfactor0
+\cf5 \cb3 \strokec5 import\cf0 \strokec4  gradio \cf5 \strokec5 as\cf0 \strokec4  gr\cb1 \
+\cf5 \cb3 \strokec5 from\cf0 \strokec4  transformers \cf5 \strokec5 import\cf0 \strokec4  pipeline\cb1 \
+\
+\pard\pardeftab720\partightenfactor0
+\cf6 \cb3 \strokec6 # Load the model pipeline\cf0 \cb1 \strokec4 \
+\pard\pardeftab720\partightenfactor0
+\cf0 \cb3 pipe = pipeline(\cf7 \strokec7 "text-generation"\cf0 \strokec4 , model=\cf7 \strokec7 "isaacus/open-australian-legal-llm"\cf0 \strokec4 )\cb1 \
+\
+\pard\pardeftab720\partightenfactor0
+\cf6 \cb3 \strokec6 # Define a function to use the pipeline for text generation\cf0 \cb1 \strokec4 \
+\pard\pardeftab720\partightenfactor0
+\cf2 \cb3 \strokec2 def\cf0 \strokec4  \cf8 \strokec8 generate_text\cf0 \strokec4 (\cf9 \strokec9 prompt\cf0 \strokec4 ):\cb1 \
+\pard\pardeftab720\partightenfactor0
+\cf0 \cb3     outputs = pipe(prompt, max_new_tokens=\cf10 \strokec10 50\cf0 \strokec4 , do_sample=\cf2 \strokec2 True\cf0 \strokec4 , temperature=\cf10 \strokec10 0.7\cf0 \strokec4 )\cb1 \
+\cb3     \cf5 \strokec5 return\cf0 \strokec4  outputs[\cf10 \strokec10 0\cf0 \strokec4 ][\cf7 \strokec7 'generated_text'\cf0 \strokec4 ]\cb1 \
+\
+\pard\pardeftab720\partightenfactor0
+\cf6 \cb3 \strokec6 # Create the Gradio interface\cf0 \cb1 \strokec4 \
+\pard\pardeftab720\partightenfactor0
+\cf0 \cb3 iface = gr.Interface(\cb1 \
+\cb3     fn=generate_text,\cb1 \
+\cb3     inputs=gr.Textbox(lines=\cf10 \strokec10 2\cf0 \strokec4 , placeholder=\cf7 \strokec7 "Enter your prompt here..."\cf0 \strokec4 ),\cb1 \
+\cb3     outputs=\cf7 \strokec7 "text"\cf0 \strokec4 ,\cb1 \
+\cb3     title=\cf7 \strokec7 "Open Australian Legal LLM Chat Interface"\cf0 \strokec4 ,\cb1 \
+\cb3     description=\cf7 \strokec7 "Interact with the Open Australian Legal LLM. Enter a legal question or prompt to get a generated response."\cf0 \cb1 \strokec4 \
+\cb3 )\cb1 \
+\
+\pard\pardeftab720\partightenfactor0
+\cf6 \cb3 \strokec6 # Launch the interface (this will be handled by Hugging Face Spaces when deployed)\cf0 \cb1 \strokec4 \
+\pard\pardeftab720\partightenfactor0
+\cf0 \cb3 iface.launch(share=\cf2 \strokec2 False\cf0 \strokec4 )\cb1 \
+}

requirements.txt

@@ -0,0 +1,17 @@
+{\rtf1\ansi\ansicpg1252\cocoartf2868
+\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fmodern\fcharset0 Courier;}
+{\colortbl;\red255\green255\blue255;\red0\green0\blue255;\red255\green255\blue255;\red0\green0\blue0;
+}
+{\*\expandedcolortbl;;\cssrgb\c0\c0\c100000;\cssrgb\c100000\c100000\c100000;\cssrgb\c0\c0\c0;
+}
+\paperw11900\paperh16840\margl1440\margr1440\vieww11520\viewh8400\viewkind0
+\deftab720
+\pard\pardeftab720\partightenfactor0
+
+\f0\fs28 \cf2 \cb3 \expnd0\expndtw0\kerning0
+\outl0\strokewidth0 \strokec2 %%writefile requirements.txt\cf0 \cb1 \strokec4 \
+\
+\pard\pardeftab720\partightenfactor0
+\cf0 \cb3 gradio\cb1 \
+\cb3 transformers\cb1 \
+}