Update app.py

app.py

@@ -51,9 +51,27 @@ def detect_fruitveg(image):
     result = fruitveg_classifier(image)[0]
     return {result['label']: float(result['score'])}
 
+with gr.Blocks() as demo:
+    with gr.Tab("Text Classification"):
+        gr.Interface(fn=classify_text, inputs="text", outputs="label")
+    with gr.Tab("Fake News Detection"):
+        gr.Interface(fn=detect_fake, inputs="text", outputs="label")
+    with gr.Tab("General Image Classification"):
+        gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs="label")
+    with gr.Tab("Leaf Disease Detection"):
+        gr.Interface(fn=detect_leaf_disease, inputs=gr.Image(type="pil"), outputs="label")
+    with gr.Tab("Fruit/Veg Detection"):
+        gr.Interface(fn=detect_fruitveg, inputs=gr.Image(type="pil"), outputs="label")
+# def my_function(text): 
+#     return "You entered: " + text
 
-# Create Gradio interface
-demo = gr.Interface(
-   
-)
-demo.launch()
+# demo = gr.Interface(fn=my_function, inputs="text", outputs="text")
+# demo = gr.Interface(fn=classify_image, inputs=gr.Image(type="pil"), outputs="label")
+demo.launch()
+
+def classify_and_detect(text):
+    t_result = classify_text(text)
+    f_result = detect_fake(text)
+    return t_result, f_result
+
+gr.Interface(fn=classify_and_detect, inputs="text", outputs=["label", "label"])