Update app.py

app.py

@@ -103,3 +103,55 @@ def video_to_text(input):
     frames = np.array(frames)
     output = video_model(frames)
     return output[0]["label"]
+
+
+# Create a title for the app
+st.title("My Generic AI App")
+
+# Create a sidebar for selecting the input and output formats
+st.sidebar.header("Select the input and output formats")
+input_format = st.sidebar.selectbox("Input format", ["Text", "Audio", "Image", "Video"])
+output_format = st.sidebar.selectbox("Output format", ["Text", "Audio", "Image", "Video"])
+
+# Create a container for the input and output widgets
+io_container = st.container()
+
+# Create a chat input widget for text input
+if input_format == "Text":
+  user_input = st.chat_input("Type a text")
+
+# Create a file uploader widget for audio input
+elif input_format == "Audio":
+  user_input = st.file_uploader("Upload an audio file", type=["wav", "mp3", "ogg"])
+
+# Create a file uploader widget for image input
+elif input_format == "Image":
+  user_input = st.file_uploader("Upload an image file", type=["jpg", "png", "gif"])
+
+# Create a file uploader widget for video input
+else:
+  user_input = st.file_uploader("Upload a video file", type=["mp4", "avi", "mov"])
+
+# Check if the user input is not empty
+if user_input:
+
+  # Display the user input as a chat message or an image
+  with io_container:
+    if input_format == "Text":
+      st.chat_message("user", user_input)
+    else:
+      st.image(user_input, caption="User input")
+
+  # Process the user input and generate a response
+  # You can use your own logic or a language model here
+  # For example, you can use a switch case to call the appropriate function
+  # based on the input and output formats
+  response = process_input(user_input, input_format, output_format)
+
+  # Display the response as a chat message or an image
+  with io_container:
+    if output_format == "Text":
+      st.chat_message("assistant", response)
+    else:
+      st.image(response, caption="Assistant output")
+