Update app.py

app.py

@@ -44,6 +44,34 @@ def predict_crop(N, P, K, temperature, humidity, ph, rainfall):
     crop_name = le.inverse_transform([pred])[0]
     return f"🌾 ਸਿਫਾਰਸ਼ੀ ਫਸਲ: *{crop_name}*"
 
+# ---------------------------
+# Reverse Prediction Setup
+# ---------------------------
+data['crop_encoded'] = le.transform(data['label'])
+reverse_X = data[['crop_encoded']]
+y_cols = ['N', 'P', 'K', 'temperature', 'humidity', 'ph', 'rainfall']
+reverse_models = {}
+for col in y_cols:
+    y = data[col]
+    X_train, X_test, y_train, y_test = train_test_split(reverse_X, y, test_size=0.2, random_state=42)
+    model_r = lgb.LGBMRegressor()
+    model_r.fit(X_train, y_train)
+    reverse_models[col] = model_r
+
+label_to_encoded = {label: le.transform([label])[0] for label in le.classes_}
+
+def predict_crop_parameters(crop_name):
+    crop_name = crop_name.lower()
+    if crop_name not in label_to_encoded:
+        return f"❌ Error: '{crop_name}' not found in crop labels."
+    encoded_value = label_to_encoded[crop_name]
+    input_data = [[encoded_value]]
+    predictions = {}
+    for param, model_r in reverse_models.items():
+        predicted_value = model_r.predict(input_data)[0]
+        predictions[param] = round(predicted_value, 2)
+    return predictions
+
 
 
 # ---------------------------
@@ -147,6 +175,12 @@ with gr.Blocks() as demo:
             predict_btn = gr.Button("ਫਸਲ ਦੀ ਭਵਿੱਖਬਾਣੀ ਕਰੋ")
             crop_output = gr.Markdown()
             predict_btn.click(predict_crop, inputs=[N, P, K, temperature, humidity, ph, rainfall], outputs=crop_output)
+            
+        with gr.TabItem("🔁 ਫਸਲ ਤੋਂ ਪੈਰਾਮੀਟਰ"):
+            crop_input = gr.Textbox(label="🌿 ਫਸਲ ਦਾ ਨਾਂ ਲਿਖੋ")
+            result_output = gr.JSON(label="🧪 ਅਨੁਕੂਲ ਪੈਰਾਮੀਟਰ")
+            run_btn = gr.Button("➡️ ਭਵਿੱਖਬਾਣੀ ਲਵੋ")
+            run_btn.click(fn=predict_crop_parameters, inputs=[crop_input], outputs=[result_output])
 
         with gr.TabItem("🗣️ ਆਵਾਜ਼ ਰਾਹੀਂ ਪੁੱਛੋ"):
             gr.Markdown("### ਆਪਣਾ ਸਵਾਲ ਆਵਾਜ਼ ਰਾਹੀਂ ਪੁੱਛੋ (ਪੰਜਾਬੀ ਵਿੱਚ)")