Create app.py

app.py

@@ -0,0 +1,68 @@
+import gradio as gr
+from transformers import pipeline
+from prompts import MEDICAL_PROMPT
+from risk_engine import detect_risk
+
+print("Loading model...")
+
+pipe = pipeline(
+    "text-generation",
+    model="microsoft/Phi-3-mini-4k-instruct",
+    trust_remote_code=True
+)
+
+print("Model loaded!")
+
+
+def analyze(symptoms):
+
+    risk = detect_risk(symptoms)
+
+    prompt = MEDICAL_PROMPT.format(
+        symptoms=symptoms
+    )
+
+    result = pipe(
+        prompt,
+        max_new_tokens=250,
+        do_sample=True,
+        temperature=0.7
+    )
+
+    answer = result[0]["generated_text"]
+
+    return risk, answer
+
+
+with gr.Blocks(title="MediGuide AI") as demo:
+
+    gr.Markdown("""
+    # 🩺 MediGuide AI
+
+    Offline Medical Reasoning Assistant
+    for Underserved Communities
+    """)
+
+    symptoms = gr.Textbox(
+        lines=5,
+        label="Describe Your Symptoms"
+    )
+
+    submit = gr.Button("Analyze")
+
+    risk_box = gr.Textbox(
+        label="Risk Level"
+    )
+
+    output = gr.Textbox(
+        label="Medical Guidance",
+        lines=15
+    )
+
+    submit.click(
+        analyze,
+        inputs=symptoms,
+        outputs=[risk_box, output]
+    )
+
+demo.launch()