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| import gradio as gr | |
| from huggingface_hub import InferenceClient | |
| import os # For environment variables | |
| # Initialize the Hugging Face Inference Client | |
| client = InferenceClient() | |
| # Generator function for streaming AI response | |
| def generate_response(prompt_template, **kwargs): | |
| prompt = os.getenv(prompt_template).format(**kwargs) | |
| stream = client.chat.completions.create( | |
| model="Qwen/Qwen2.5-Math-7B-Instruct", | |
| messages=[{"role": "user", "content": prompt}], | |
| temperature=0.7, | |
| max_tokens=1024, | |
| top_p=0.8, | |
| stream=True | |
| ) | |
| response = "" | |
| for chunk in stream: | |
| response += chunk.choices[0].delta.content | |
| yield response # Yield incrementally | |
| # Wrapper function for Gradio compatibility | |
| def stream_response(prompt_template, **kwargs): | |
| return "".join(generate_response(prompt_template, **kwargs)) | |
| # Gradio app interface | |
| with gr.Blocks() as app: | |
| gr.Markdown("## Mathematical Insight Tutor") | |
| gr.Markdown("An advanced AI-powered tutor to help you master math concepts.") | |
| def create_tab(tab_name, prompt_template, inputs): | |
| with gr.Tab(tab_name): | |
| input_fields = [] | |
| for inp in inputs: | |
| if inp["type"] == "textbox": | |
| input_fields.append( | |
| gr.Textbox(lines=inp.get("lines", 1), label=inp["label"], placeholder=inp["placeholder"]) | |
| ) | |
| elif inp["type"] == "dropdown": | |
| input_fields.append( | |
| gr.Dropdown(choices=inp["choices"], label=inp["label"]) | |
| ) | |
| elif inp["type"] == "value": | |
| input_fields.append( | |
| gr.Textbox(label=inp["label"], placeholder=inp["placeholder"]) | |
| ) | |
| # Button and output | |
| button = gr.Button(f"{tab_name} Execute") | |
| output = gr.Textbox(lines=10, label="Output", placeholder="Generated response will appear here.") | |
| # Link button to the response wrapper | |
| button.click( | |
| fn=lambda *args: stream_response(prompt_template, **dict(zip([inp["key"] for inp in inputs], args))), | |
| inputs=input_fields, | |
| outputs=output | |
| ) | |
| # Tabs for functionalities | |
| create_tab( | |
| "Solve a Problem", | |
| "PROMPT_SOLVE", | |
| [ | |
| {"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"}, | |
| {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]} | |
| ] | |
| ) | |
| create_tab( | |
| "Generate a Hint", | |
| "PROMPT_HINT", | |
| [ | |
| {"key": "problem", "type": "textbox", "label": "Enter Math Problem for Hint", "placeholder": "e.g., Solve for x: 2x + 5 = 15"}, | |
| {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]} | |
| ] | |
| ) | |
| create_tab( | |
| "Verify Solution", | |
| "PROMPT_VERIFY", | |
| [ | |
| {"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"}, | |
| {"key": "solution", "type": "value", "label": "Enter Your Solution", "placeholder": "e.g., x = 5"} | |
| ] | |
| ) | |
| create_tab( | |
| "Generate Practice Question", | |
| "PROMPT_GENERATE", | |
| [ | |
| {"key": "topic", "type": "textbox", "label": "Enter Math Topic", "placeholder": "e.g., Algebra, Calculus"}, | |
| {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]} | |
| ] | |
| ) | |
| create_tab( | |
| "Explain Concept", | |
| "PROMPT_EXPLAIN", | |
| [ | |
| {"key": "problem", "type": "textbox", "label": "Enter Math Problem", "placeholder": "e.g., Solve for x: 2x + 5 = 15"}, | |
| {"key": "difficulty", "type": "dropdown", "label": "Difficulty Level", "choices": ["Beginner", "Intermediate", "Advanced"]} | |
| ] | |
| ) | |
| # Launch the app | |
| app.launch(debug=True) | |