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import os
import gradio as gr
from huggingface_hub import InferenceClient
# Configuration
HF_TOKEN = os.getenv("HF_TOKEN") # Get Hugging Face token from Hugging Face Secrets
MODEL_NAME = "microsoft/Phi-3-mini-4k-instruct" # Default model (you can change this if needed)
def generate_response(prompt):
"""Generate response using Hugging Face Inference API"""
try:
# Initialize InferenceClient with Hugging Face token
client = InferenceClient(token=HF_TOKEN)
response = client.text_generation(
prompt=prompt,
temperature=0.7,
top_p=0.9,
max_new_tokens=800,
model=MODEL_NAME
)
return response
except Exception as e:
return f"Error generating response: {str(e)}"
def explain_code(code):
"""Generate explanation for provided code"""
if not code.strip():
return "Please enter some code to explain."
prompt = f"""<|system|>
You are an AI programming tutor. Explain this code in detail:
{code}
Provide a structured explanation covering:
1. Overall purpose and functionality
2. Key components and their roles
3. Flow of execution
4. Important patterns or techniques used
<|end|>
<|user|>
Please explain this code<|end|>
<|assistant|>"""
return generate_response(prompt)
def create_demo():
"""Create Gradio interface"""
with gr.Blocks(title="AI Programming Tutor", theme=gr.themes.Soft()) as demo:
gr.Markdown("""
# 🤖 AI Programming Tutor
Get detailed explanations for your code snippets.
""")
with gr.Row():
with gr.Column():
code_input = gr.Code(
label="Your Code",
value="# Enter your code here...", # Default value instead of placeholder
language="python",
lines=10,
interactive=True
)
with gr.Row():
submit_btn = gr.Button("Explain Code", variant="primary")
clear_btn = gr.Button("Clear")
with gr.Column():
explanation_output = gr.Textbox(
label="Code Explanation",
lines=15,
interactive=False
)
submit_btn.click(
fn=explain_code,
inputs=code_input,
outputs=explanation_output
)
clear_btn.click(
fn=lambda: ("# Enter your code here...", ""), # Reset to default value
inputs=None,
outputs=[code_input, explanation_output]
)
return demo
# Create and launch the interface
demo = create_demo()
if __name__ == "__main__":
demo.launch()
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