Update app.py

app.py

@@ -1,4 +1,16 @@
+from fastapi import FastAPI, Request
 import gradio as gr
+from fastapi.middleware.cors import CORSMiddleware
+
+app = FastAPI()
+
+# Add CORS middleware to allow requests from Make.com or Postman
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # Allow all origins (you can restrict this in production)
+    allow_methods=["POST"],
+    allow_headers=["*"],
+)
 
 def bulletify(text_string, prefix="- "):
     """
@@ -130,4 +142,35 @@ demo = gr.Interface(
     title="CV Template with Markdown Tables + Bullets"
 )
 
+# FastAPI endpoint for POST requests
+@app.post("/run/predict")
+async def predict(request: Request):
+    data = await request.json()
+    cv_output = generate_cv(
+        email=data.get("email"),
+        date_of_birth=data.get("date_of_birth"),
+        mbti=data.get("mbti"),
+        sustainable_dev_goals=data.get("sustainable_dev_goals"),
+        via_strengths=data.get("via_strengths"),
+        disc_d=data.get("disc_d"),
+        disc_i=data.get("disc_i"),
+        disc_s=data.get("disc_s"),
+        disc_c=data.get("disc_c"),
+        big5_openness=data.get("big5_openness"),
+        big5_conscientiousness=data.get("big5_conscientiousness"),
+        big5_extraversion=data.get("big5_extraversion"),
+        big5_agreeableness=data.get("big5_agreeableness"),
+        big5_emotional_stability=data.get("big5_emotional_stability"),
+        past_project=data.get("past_project"),
+        influences=data.get("influences"),
+        main_passions=data.get("main_passions"),
+        preferred_location=data.get("preferred_location"),
+        ideal_work_environment=data.get("ideal_work_environment"),
+        productive_time=data.get("productive_time"),
+        partner_qualities=data.get("partner_qualities"),
+        vision=data.get("vision")
+    )
+    return {"cv_output": cv_output}
+
+# Launch Gradio and FastAPI
 demo.launch(server_name="0.0.0.0", server_port=7860, share=True)