Update app.py

app.py

@@ -1,48 +1,48 @@
-# Importing the requirements
-# import warnings
-
-# warnings.filterwarnings("ignore")
-
-import gradio as gr
-from src.model import describe_video
-
-
-# Video and text inputs for the interface
-video = gr.Video(type="file", label="Video")
-query = gr.Textbox(label="Query", placeholder="Type your query here")
-
-# Output for the interface
-response = gr.Textbox(label="Response", show_label=True, show_copy_button=True)
-
-# Examples for the interface
-examples = [
-    [
-        "./videos/sample_video_1.mp4",
-        "Here are some frames of a video. Describe this video in detail",
-    ],
-    [
-        "./videos/sample_video_2.mp4",
-        "Which are the animals in this video, and how many are there?",
-    ],
-    ["./videos/sample_video_3.mp4", "What is happening in this video?"],
-]
-
-# Title, description, and article for the interface
-title = "Video Understanding & Question Answering"
-description = "This Gradio demo uses the MiniCPM-V-2_6 model for video understanding tasks. Upload a video and type a question to get a detailed description or specific information from the video."
-article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2407.03320' target='_blank'>InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output</a> | <a href='https://huggingface.co/internlm/internlm-xcomposer2d5-7b' target='_blank'>Model Page</a></p>"
-
-
-# Launch the interface
-interface = gr.Interface(
-    fn=describe_video,
-    inputs=[video, query],
-    outputs=response,
-    examples=examples,
-    title=title,
-    description=description,
-    article=article,
-    theme="Soft",
-    allow_flagging="never",
-)
-interface.launch(debug=False)
+# Importing the requirements
+# import warnings
+
+# warnings.filterwarnings("ignore")
+
+import gradio as gr
+from src.model import describe_video
+
+
+# Video and text inputs for the interface
+video = gr.Video(label="Video")
+query = gr.Textbox(label="Query", placeholder="Type your query here")
+
+# Output for the interface
+response = gr.Textbox(label="Response", show_label=True, show_copy_button=True)
+
+# Examples for the interface
+examples = [
+    [
+        "./videos/sample_video_1.mp4",
+        "Here are some frames of a video. Describe this video in detail",
+    ],
+    [
+        "./videos/sample_video_2.mp4",
+        "Which are the animals in this video, and how many are there?",
+    ],
+    ["./videos/sample_video_3.mp4", "What is happening in this video?"],
+]
+
+# Title, description, and article for the interface
+title = "Video Understanding & Question Answering"
+description = "This Gradio demo uses the MiniCPM-V-2_6 model for video understanding tasks. Upload a video and type a question to get a detailed description or specific information from the video."
+article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2407.03320' target='_blank'>InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output</a> | <a href='https://huggingface.co/internlm/internlm-xcomposer2d5-7b' target='_blank'>Model Page</a></p>"
+
+
+# Launch the interface
+interface = gr.Interface(
+    fn=describe_video,
+    inputs=[video, query],
+    outputs=response,
+    examples=examples,
+    title=title,
+    description=description,
+    article=article,
+    theme="Soft",
+    allow_flagging="never",
+)
+interface.launch(debug=False)