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import gradio as gr
from huggingface_hub import InferenceClient
import sys
import io
import traceback
model_name = "Qwen/Qwen2.5-72B-Instruct"
client = InferenceClient(model_name)
def llm_inference(user_sample):
eos_token = "<|endoftext|>"
output = client.chat.completions.create(
messages=[
{"role": "system", "content": "You are a Python language guide. Write code on the user topic. Make sure that the code is runnable and doesn't close the shell window, so end with input() if the user request is simple. If the input is code, correct it for mistakes."},
{"role": "user", "content": f"Write only python code without any explanation: {user_sample}"},
],
stream=False,
temperature=0.7,
top_p=0.1,
max_tokens=412,
stop=[eos_token]
)
response = ''
for choice in output.choices:
response += choice['message']['content']
return response
def chat(user_input, history):
response = llm_inference(user_input)
history.append((user_input, response))
return history, history
def execute_code(code, user_inputs):
# Split user inputs by newline
inputs = user_inputs.strip().split('\n')
input_iter = iter(inputs)
# Custom input function to replace built-in input()
def custom_input(prompt=''):
try:
return next(input_iter)
except StopIteration:
raise Exception("Not enough inputs provided.")
# Redirect stdout
old_stdout = sys.stdout
redirected_output = sys.stdout = io.StringIO()
old_input = __builtins__.input
__builtins__.input = custom_input
try:
exec(code, {})
output = redirected_output.getvalue()
except Exception as e:
output = f"Error: {e}\n{traceback.format_exc()}"
finally:
sys.stdout = old_stdout
__builtins__.input = old_input
return output
with gr.Blocks() as demo:
gr.Markdown("# 🐍 Python Helper Chatbot")
with gr.Tab("Chat"):
chatbot = gr.Chatbot()
msg = gr.Textbox(placeholder="Type your message here...")
msg.submit(chat, inputs=[msg, chatbot], outputs=[chatbot, chatbot])
with gr.Tab("Interpreter"):
gr.Markdown("### 🖥️ Test Your Code")
code_input = gr.Code(language="python", lines=20)
gr.Markdown("#### 📝 Provide Inputs (Each input on a new line):")
user_inputs = gr.Textbox(lines=5, placeholder="Enter inputs for your code here...")
run_button = gr.Button("Run Code")
code_output = gr.Textbox(label="Output", lines=15)
run_button.click(execute_code, inputs=[code_input, user_inputs], outputs=code_output)
with gr.Tab("Logs"):
gr.Markdown("### 📜 Logs")
log_output = gr.Textbox(label="Logs", lines=10, interactive=False)
demo.launch()
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