Create app.py

app.py

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+import gradio as gr
+import os
+from openai import OpenAI
+
+# 🔹 Set your Grok (xAI) API Key securely
+os.environ["XAI_API_KEY"] = "xai-2ftlCxHfSh3eCmrzNVWlC8X1r4w06GQTPLK8YFwJdwjgFXK0oW0H6QvR4NN5N0fhkLLEkibGBY7Q1e6m"
+
+# 🔹 Initialize client for Grok
+client = OpenAI(
+    api_key=os.getenv("XAI_API_KEY"),
+    base_url="https://api.x.ai/v1"  # ✅ xAI Grok endpoint
+)
+
+# 🔹 Define model (latest general-purpose)
+MODEL_ID = "grok-beta"  # or "grok-2", check console for available models
+
+# ---------------- AI Response Function ----------------
+def respond(albumin, creatinine, glucose, crp, mcv, rdw, alp, wbc, lymphocytes,
+            hemoglobin, pv, age, gender, height, weight):
+    
+    system_message = (
+        "You are an AI Health Assistant that analyzes laboratory biomarkers "
+        "and generates structured, patient-friendly health summaries.\n\n"
+        "Your task is to evaluate the provided biomarkers and generate an AI-driven medical report "
+        "with insights, observations, and clear explanations.\n"
+        "You must strictly follow this structured format:\n\n"
+        "### Tabular Mapping\n"
+        "| Biomarker | Value | Status (Low/Normal/High) | AI-Inferred Insight |Reference Range|\n"
+        "Include all available biomarkers: Albumin, Creatinine, Glucose, CRP, MCV, RDW, ALP, WBC, "
+        "Lymphocytes, Hemoglobin, Plasma Viscosity (PV).\n\n"
+        "### Executive Summary\n"
+        "- Top 3 Health Priorities.\n"
+        "- Key Strengths (normal biomarkers).\n\n"
+        "### System-Specific Analysis\n"
+        "- Organ systems: Liver, Kidney, Immune, Blood, etc.\n"
+        "- Status: “Optimal” | “Monitor” | “Needs Attention”.\n"
+        "- Write concise, supportive explanations.\n\n"
+        "### Personalized Action Plan\n"
+        "- Recommendations: Nutrition, Lifestyle, Testing, Consultation.\n"
+        "- Never recommend medication.\n\n"
+        "### Interaction Alerts\n"
+        "- Highlight potential relationships (e.g., high CRP + low Albumin).\n\n"
+        "### Constraints\n"
+        "- No diagnosis or prescriptions.\n"
+        "- Use only provided data.\n"
+        "- Always recommend seeing a healthcare professional.\n"
+        "- Include normal reference ranges for each biomarker.\n"
+        "- Use patient-friendly language."
+    )
+
+    user_message = (
+        f"Patient Information:\n"
+        f"- Age: {age} years\n"
+        f"- Gender: {gender}\n"
+        f"- Height: {height} cm\n"
+        f"- Weight: {weight} kg\n\n"
+        f"Biomarker Values:\n"
+        f"- Albumin: {albumin} g/dL\n"
+        f"- Creatinine: {creatinine} mg/dL\n"
+        f"- Glucose: {glucose} mg/dL\n"
+        f"- CRP: {crp} mg/L\n"
+        f"- MCV: {mcv} fL\n"
+        f"- RDW: {rdw} %\n"
+        f"- ALP: {alp} U/L\n"
+        f"- WBC: {wbc} x10^3/μL\n"
+        f"- Lymphocytes: {lymphocytes} %\n"
+        f"- Hemoglobin: {hemoglobin} g/dL\n"
+        f"- Plasma Viscosity (PV): {pv} mPa·s"
+    )
+
+    completion = client.chat.completions.create(
+        model=MODEL_ID,
+        messages=[
+            {"role": "system", "content": system_message},
+            {"role": "user", "content": user_message}
+        ],
+        temperature=0.2,
+        max_tokens=2000
+    )
+
+    return completion.choices[0].message.content
+
+
+# ---------------- Gradio UI ----------------
+with gr.Blocks() as demo:
+    gr.Markdown("## 🧪 AI Health Assistant (Extended Biomarkers via Grok API)")
+
+    with gr.Row():
+        with gr.Column():
+            albumin = gr.Textbox(label="Albumin (g/dL)", value="4.5")
+            creatinine = gr.Textbox(label="Creatinine (mg/dL)", value="1.5")
+            glucose = gr.Textbox(label="Glucose (mg/dL, fasting)", value="160")
+            crp = gr.Textbox(label="CRP (mg/L)", value="2.5")
+            mcv = gr.Textbox(label="MCV (fL)", value="150")
+            rdw = gr.Textbox(label="RDW (%)", value="15")
+            alp = gr.Textbox(label="ALP (U/L)", value="146")
+            wbc = gr.Textbox(label="WBC (10^3/μL)", value="10.5")
+            lymphocytes = gr.Textbox(label="Lymphocytes (%)", value="38")
+            hemoglobin = gr.Textbox(label="Hemoglobin (g/dL)", value="13.5")
+            pv = gr.Textbox(label="Plasma Viscosity (mPa·s)", value="1.7")
+
+        with gr.Column():
+            age = gr.Textbox(label="Age (years)", value="30")
+            gender = gr.Dropdown(choices=["Male", "Female"], label="Gender", value="Male")
+            height = gr.Textbox(label="Height (cm)", value="170")
+            weight = gr.Textbox(label="Weight (kg)", value="65")
+
+    output = gr.Textbox(label="AI Health Report", lines=30)
+
+    btn = gr.Button("Generate Report")
+    btn.click(
+        respond,
+        inputs=[
+            albumin, creatinine, glucose, crp, mcv, rdw, alp, wbc,
+            lymphocytes, hemoglobin, pv, age, gender, height, weight
+        ],
+        outputs=output
+    )
+
+if __name__ == "__main__":
+    demo.launch()