Upload 2 files

model_api.py

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+from huggingface_hub import InferenceClient
+import os
+
+def query_model(prompt):
+    try:
+        HF_TOKEN = os.getenv("HF_TOKEN")
+
+        client = InferenceClient(
+            model="Qwen/Qwen2.5-7B-Instruct",
+            token=HF_TOKEN
+        )
+
+        response = client.chat_completion(
+            messages=[
+                {"role": "system", "content": "You are a certified professional fitness trainer."},
+                {"role": "user", "content": prompt}
+            ],
+            max_tokens=2000,
+            temperature=0.7
+        )
+
+        return response.choices[0].message.content
+
+    except Exception as e:
+        return f"Error: {str(e)}"

prompt_builder.py

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+def calculate_bmi(weight, height):
+    height_m = height / 100
+    return weight / (height_m ** 2)
+
+
+def bmi_category(bmi):
+    if bmi < 18.5:
+        return "Underweight"
+    elif bmi < 25:
+        return "Normal Weight"
+    elif bmi < 30:
+        return "Overweight"
+    else:
+        return "Obese"
+
+
+def build_prompt(name, age, gender, height, weight, goal, fitness_level, equipment):
+
+    bmi = calculate_bmi(weight, height)
+    bmi_status = bmi_category(bmi)
+
+    equipment_list = ", ".join(equipment) if equipment else "No Equipment"
+
+    prompt = f"""
+You are a certified professional fitness trainer.
+
+Create a structured 5-day personalized workout plan.
+
+User Profile:
+- Name: {name}
+- Age: {age}
+- Gender: {gender}
+- Height: {height} cm
+- Weight: {weight} kg
+- BMI: {bmi:.2f} ({bmi_status})
+- Goal: {goal}
+- Fitness Level: {fitness_level}
+- Available Equipment: {equipment_list}
+
+Instructions:
+1. Divide clearly into Day 1 to Day 5.
+2. Include exercise name.
+3. Include sets and reps.
+4. Include rest period.
+5. Adjust intensity based on BMI category.
+6. Avoid unsafe exercises for beginners.
+7. Keep the plan professional and easy to follow.
+"""
+
+    return prompt, bmi, bmi_status