added

app.py

@@ -0,0 +1,36 @@
+import gradio as gr
+import pandas as pd
+from prophet import Prophet
+import json
+
+def forecast_api(json_data, periods):
+    # 1. Parse Data
+    try:
+        data = json.loads(json_data)
+        df = pd.DataFrame(data)
+
+        # 2. Train Prophet (Runs on Hugging Face Server, not your machine)
+        m = Prophet()
+        m.fit(df)
+
+        # 3. Predict
+        future = m.make_future_dataframe(periods=int(periods))
+        forecast = m.predict(future)
+
+        # 4. Return result as JSON
+        result = forecast[['ds', 'yhat', 'yhat_lower', 'yhat_upper']].tail(int(periods))
+        # Convert timestamps to string for JSON serialization
+        result['ds'] = result['ds'].astype(str)
+        return result.to_json(orient='records')
+
+    except Exception as e:
+        return json.dumps({"error": str(e)})
+
+# Create the API interface
+demo = gr.Interface(
+    fn=forecast_api,
+    inputs=[gr.Textbox(label="JSON Data"), gr.Number(label="Periods", value=30)],
+    outputs="json"
+)
+
+demo.launch()

requirements.txt

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+prophet
+pandas
+gradio