Update app.py

app.py

@@ -446,7 +446,24 @@ def process_and_query(input_language=None, audio_input=None, image_input=None, t
         print(f"An error occurred: {e}")
         return "Error occurred during processing.", "No hallucination evaluation"
 
-
+# Interface logic
+
+def clear(interface):
+    interface['language_selection'].reset()
+    interface['speech_to_text'].hide()
+    interface['image_identification'].hide()
+    interface['text_summarization'].hide()
+    interface['results'].hide()
+
+def on_language_change(language, interface):
+    if language:
+        interface['speech_to_text'].show()
+        interface['image_identification'].show()
+        interface['text_summarization'].show()
+    else:
+        interface['speech_to_text'].hide()
+        interface['image_identification'].hide()
+        interface['text_summarization'].hide()
 
 welcome_message = """
 # 👋🏻Welcome to ⚕🗣️😷MultiMed - Access Chat ⚕🗣️😷
@@ -571,24 +588,39 @@ languages = [
 ]
 
 
-with gr.Blocks(theme='ParityError/Anime') as iface : 
-    gr.Markdown(welcome_message)
-    with gr.Accordion("speech to text",open=True):
-        input_language = gr.Dropdown(languages, label="select the language",value="English",interactive=True)
-        audio_input = gr.Audio(label="speak",type="filepath",sources="microphone")
-        audio_output = gr.Markdown(label="output text")
-        gr.Examples([["English","sample_input.mp3"]],inputs=[input_language,audio_input])
-    with gr.Accordion("image identification",open=True):
-        image_input = gr.Image(label="upload image")
-        image_output = gr.Markdown(label="output text")
-        gr.Examples(["sick person.jpeg"],inputs=[image_input])
-    with gr.Accordion("text summarization",open=True):
-        text_input = gr.Textbox(label="input text",lines=5)
-        text_output = gr.Markdown(label="output text")
-        text_button = gr.Button("process text")
+with gr.Blocks(theme='ParityError/Anime') as iface:
+    with gr.Row() as language_selection:
+        input_language = gr.Dropdown(languages, label="Select the language", value="English", interactive=True)
+
+    with gr.Accordion("Speech to Text", open=False) as speech_to_text:
+        audio_input = gr.Audio(label="Speak", type="filepath", sources="microphone")
+        audio_output = gr.Markdown(label="Output text")
+
+    with gr.Accordion("Image Identification", open=False) as image_identification:
+        image_input = gr.Image(label="Upload image")
+        image_output = gr.Markdown(label="Output text")
+
+    with gr.Accordion("Text Summarization", open=False) as text_summarization:
+        text_input = gr.Textbox(label="Input text", lines=5)
+        text_output = gr.Markdown(label="Output text")
+        text_button = gr.Button("Process text")
         hallucination_output = gr.Label(label="Hallucination Evaluation")
         text_button.click(process_and_query, inputs=[input_language, audio_input, image_input, text_input], outputs=[text_output, hallucination_output])
-        gr.Examples([
+
+    with gr.Row() as results:
+        text_output = gr.Markdown()
+        hallucination_output = gr.Label()
+
+    clear_button = gr.Button("Clear")
+    clear_button.click(clear, inputs=[], outputs=[], args=[iface])
+
+# Initially hide all blocks except language selection
+iface['speech_to_text'].hide()
+iface['image_identification'].hide()
+iface['text_summarization'].hide()
+iface['results'].hide()
+
+gr.Examples([
             ["What is the proper treatment for buccal herpes?"],
             ["Male, 40 presenting with swollen glands and a rash"],
             ["How does cellular metabolism work TCA cycle"],