Create app.py

app.py

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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()
+
+# Functions for solving problems, generating hints, and more
+def solve_math_problem(problem, difficulty):
+    prompt = os.getenv("PROMPT_SOLVE").format(problem=problem, difficulty=difficulty)
+    response = client.chat.completions.create(
+        model="Qwen/QwQ-32B-Preview",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=1024,
+        top_p=0.8
+    )
+    return response.choices[0].message["content"]
+
+def generate_hint(problem, difficulty):
+    prompt = os.getenv("PROMPT_HINT").format(problem=problem, difficulty=difficulty)
+    response = client.chat.completions.create(
+        model="Qwen/QwQ-32B-Preview",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=512,
+        top_p=0.8
+    )
+    return response.choices[0].message["content"]
+
+def verify_solution(problem, solution):
+    prompt = os.getenv("PROMPT_VERIFY").format(problem=problem, solution=solution)
+    response = client.chat.completions.create(
+        model="Qwen/QwQ-32B-Preview",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=512,
+        top_p=0.8
+    )
+    return response.choices[0].message["content"]
+
+def generate_practice_question(topic, difficulty):
+    prompt = os.getenv("PROMPT_GENERATE").format(topic=topic, difficulty=difficulty)
+    response = client.chat.completions.create(
+        model="Qwen/QwQ-32B-Preview",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=512,
+        top_p=0.8
+    )
+    return response.choices[0].message["content"]
+
+def explain_concept(problem, difficulty):
+    prompt = os.getenv("PROMPT_EXPLAIN").format(problem=problem, difficulty=difficulty)
+    response = client.chat.completions.create(
+        model="Qwen/QwQ-32B-Preview",
+        messages=[{"role": "user", "content": prompt}],
+        temperature=0.7,
+        max_tokens=512,
+        top_p=0.8
+    )
+    return response.choices[0].message["content"]
+
+# Create Gradio interface
+with gr.Blocks() as app:
+    gr.Markdown("## Mathematical Insight Tutor")
+    gr.Markdown("An advanced AI-powered tutor to help you master math concepts.")
+
+    with gr.Tab("Solve a Problem"):
+        problem_input = gr.Textbox(label="Enter Math Problem", placeholder="e.g., Solve for x: 2x + 5 = 15")
+        difficulty_level = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
+        solve_button = gr.Button("Solve")
+        solution_output = gr.Markdown()
+        solve_button.click(solve_math_problem, inputs=[problem_input, difficulty_level], outputs=solution_output)
+
+    with gr.Tab("Generate a Hint"):
+        hint_problem_input = gr.Textbox(label="Enter Math Problem for Hint", placeholder="e.g., Solve for x: 2x + 5 = 15")
+        hint_difficulty = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
+        hint_button = gr.Button("Generate Hint")
+        hint_output = gr.Markdown()
+        hint_button.click(generate_hint, inputs=[hint_problem_input, hint_difficulty], outputs=hint_output)
+
+    with gr.Tab("Verify Solution"):
+        verify_problem_input = gr.Textbox(label="Enter Math Problem", placeholder="e.g., Solve for x: 2x + 5 = 15")
+        solution_input = gr.Textbox(label="Enter Your Solution", placeholder="e.g., x = 5")
+        verify_button = gr.Button("Verify Solution")
+        verify_output = gr.Markdown()
+        verify_button.click(verify_solution, inputs=[verify_problem_input, solution_input], outputs=verify_output)
+
+    with gr.Tab("Generate Practice Question"):
+        topic_input = gr.Textbox(label="Enter Math Topic", placeholder="e.g., Algebra, Calculus")
+        practice_difficulty = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
+        generate_button = gr.Button("Generate Question")
+        practice_output = gr.Markdown()
+        generate_button.click(generate_practice_question, inputs=[topic_input, practice_difficulty], outputs=practice_output)
+
+    with gr.Tab("Explain Concept"):
+        explain_problem_input = gr.Textbox(label="Enter Math Problem", placeholder="e.g., Solve for x: 2x + 5 = 15")
+        explain_difficulty = gr.Dropdown(choices=["Beginner", "Intermediate", "Advanced"], label="Difficulty Level")
+        explain_button = gr.Button("Explain Concept")
+        explain_output = gr.Markdown()
+        explain_button.click(explain_concept, inputs=[explain_problem_input, explain_difficulty], outputs=explain_output)
+
+# Launch the app
+app.launch(debug=True)