Upload app.py

app.py

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+# -*- coding: utf-8 -*-
+"""app.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1AAv25Dmp5rMgoK7FgBmpAip9IZCt1KFK
+"""
+
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+
+# FastAPI instance initialization
+app = FastAPI()
+
+# Allowing CORS to let Streamlit access the API
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # Allow any origin
+    allow_methods=["*"],  # Allow any method
+    allow_headers=["*"],  # Allow any headers
+)
+
+# Request model for task input
+class TaskRequest(BaseModel):
+    task: str
+
+@app.post("/predict")
+def predict_model(req: TaskRequest):
+    # Example logic: differentiate between regression and classification tasks
+    if "price" in req.task.lower():
+        return {
+            "model": "Linear Regression",
+            "r_squared": 0.82,
+            "coefficients": {"area": 2.3, "bedrooms": -0.7}
+        }
+    else:
+        return {
+            "model": "Logistic Regression",
+            "accuracy": 0.78,
+            "coefficients": {"feature1": 1.1, "feature2": -0.3}
+        }
+
+# Start FastAPI app on Hugging Face Space
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run("app:app", host="0.0.0.0", port=7860)