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import gradio as gr
from huggingface_hub import InferenceClient
# Initialize the Hugging Face Inference Client
client = InferenceClient()
# Function to generate the math lesson with LaTeX formatting
def generate_stream(selected_topic, input_text):
"""
Generates a dynamic math lesson with LaTeX-rendered equations and explanations.
"""
prompt = (
f"Create a detailed lesson on solving the following system of equations using the elimination method: {input_text}. "
"Include step-by-step explanations and render all equations in LaTeX format."
if input_text.strip()
else f"Create a beginner-level lesson for solving systems of equations with examples in LaTeX format."
)
messages = [{"role": "user", "content": prompt}]
try:
# Generate the content using Hugging Face
stream = client.chat.completions.create(
model="Qwen/Qwen2.5-Coder-32B-Instruct", # Streaming model
messages=messages,
temperature=0.5,
max_tokens=1024,
top_p=0.7,
stream=True,
)
# Stream the generated content incrementally
generated_content = ""
for chunk in stream:
generated_content += chunk.choices[0].delta.content
yield generated_content # Incremental updates
except Exception as e:
yield f"Error: {e}" # Handle exceptions gracefully
# Create the Gradio app interface
with gr.Blocks() as app:
gr.Markdown("## 🎓 Solve Systems of Linear Equations with LaTeX")
gr.Markdown(
"Generate dynamic lessons on solving systems of equations step-by-step. "
"The content includes explanations and LaTeX-rendered equations for better understanding!"
)
with gr.Row():
# Input Section
with gr.Column():
selected_topic = gr.Radio(
choices=["Math"],
label="Select a Topic",
value="Math" # Only math is needed here
)
input_text = gr.Textbox(
lines=2,
label="Input Equations",
placeholder="Enter the system of equations (e.g., '4x + 3y = 56, 7x + 6y = 54')"
)
generate_button = gr.Button("Generate Lesson")
# Output Section
with gr.Column():
gr.Markdown("### Generated Content")
output_stream = gr.Markdown() # Output content as Markdown for LaTeX rendering
# Link the generate button to the function
generate_button.click(
fn=generate_stream,
inputs=[selected_topic, input_text],
outputs=output_stream,
)
# Launch the Gradio app
app.launch()
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