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import gradio as gr
from openai import OpenAI
def process_language(api_key, task, user_message):
if not api_key:
return "⚠️ Please enter your OpenRouter API Key"
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=api_key
)
system_message = ("You are a bilingual language tutor. Respond in the language used in the question. "
"For conversations, keep exchanges natural. For grammar explanations, provide "
"detailed rules with English/Chinese examples.")
try:
completion = client.chat.completions.create(
extra_headers={"HTTP-Referer": "", "X-Title": ""},
extra_body={},
model="deepseek/deepseek-v3-base:free",
messages=[
{"role": "system", "content": system_message},
{"role": "user", "content": f"{task}: {user_message}"}
]
)
return completion.choices[0].message.content
except Exception as e:
return f"❌ Error: {str(e)}"
def process_pseudocode(api_key, user_idea):
if not api_key:
return "⚠️ Please enter your OpenRouter API Key"
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=api_key
)
system_message = ("Generate clear, step-by-step pseudocode for the given idea. "
"Use programming conventions but avoid actual code. Structure your answer with:")
try:
completion = client.chat.completions.create(
extra_headers={"HTTP-Referer": "", "X-Title": ""},
extra_body={},
model="deepseek/deepseek-v3-base:free",
messages=[
{"role": "system", "content": system_message},
{"role": "user", "content": user_idea}
]
)
return completion.choices[0].message.content
except Exception as e:
return f"❌ Error: {str(e)}"
def process_algorithm(api_key, challenge):
if not api_key:
return "⚠️ Please enter your OpenRouter API Key"
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=api_key
)
system_message = ("Suggest multiple approaches to solve the problem. Compare time/space complexity, "
"trade-offs, and ideal use cases. Structure your answer clearly.")
try:
completion = client.chat.completions.create(
extra_headers={"HTTP-Referer": "", "X-Title": ""},
extra_body={},
model="deepseek/deepseek-v3-base:free",
messages=[
{"role": "system", "content": system_message},
{"role": "user", "content": challenge}
]
)
return completion.choices[0].message.content
except Exception as e:
return f"❌ Error: {str(e)}"
with gr.Blocks(theme=gr.themes.Soft()) as app:
gr.Markdown("# 🚀 Code & Language Learning Assistant")
api_key = gr.Textbox(label="Enter your OpenRouter API Key", type="password")
with gr.Tabs():
# Language Learning Tab
with gr.Tab("🇬🇧/🇨🇳 Language Learning Buddy"):
with gr.Row():
with gr.Column():
task_type = gr.Radio(
choices=["Simulate bilingual conversation", "Explain grammar rules"],
label="Select Task Type"
)
lang_input = gr.Textbox(label="Your message/question", lines=3)
lang_btn = gr.Button("Get Assistance")
lang_output = gr.Textbox(label="Assistant Response", interactive=False, lines=10)
lang_btn.click(process_language, [api_key, task_type, lang_input], lang_output)
# Pseudocode Tab
with gr.Tab("📝 Pseudocode Explainer"):
with gr.Row():
with gr.Column():
pseudo_input = gr.Textbox(label="Your idea (e.g., 'How to build a calculator app')", lines=3)
pseudo_btn = gr.Button("Generate Steps")
pseudo_output = gr.Textbox(label="Step-by-Step Pseudocode", interactive=False, lines=10)
pseudo_btn.click(process_pseudocode, [api_key, pseudo_input], pseudo_output)
# Algorithm Tab
with gr.Tab("🧠 Algorithm Brainstormer"):
with gr.Row():
with gr.Column():
algo_input = gr.Textbox(label="Challenge description (e.g., 'Sort list without built-in functions')", lines=3)
algo_btn = gr.Button("Brainstorm Solutions")
algo_output = gr.Textbox(label="Suggested Approaches", interactive=False, lines=10)
algo_btn.click(process_algorithm, [api_key, algo_input], algo_output)
app.launch() |