Update app configuration for Hugging Face Spaces

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 import requests
 import os
 
-# API endpoint - replace with your VM's IP address
-API_URL = "http://34.42.197.123:8000/process_video"  # Updated with your VM's IP
+# API endpoint - using environment variable with fallback
+API_URL = os.getenv("API_URL", "http://34.58.134.224:8000/process_video")
 
 def process_video(video_path, prompt):
     try:
@@ -21,6 +21,10 @@ def process_video(video_path, prompt):
         
         # Return the response
         return response.json()['response']
+    except requests.exceptions.ConnectionError:
+        return "Error: Could not connect to the API server. Please try again later."
+    except requests.exceptions.RequestException as e:
+        return f"Error: API request failed - {str(e)}"
     except Exception as e:
         return f"Error: {str(e)}"
 
@@ -33,12 +37,11 @@ iface = gr.Interface(
     ],
     outputs=gr.Textbox(label="Model Response"),
     title="Video Analysis with VLM",
-    description="Upload a video and ask questions about it. The model will analyze the first frame and respond to your prompt.",
+    description="Upload a video and ask questions about it. The model will analyze the video and respond to your prompt.",
     examples=[
-        ["https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png", "What is going on in this image?"]
+        ["https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.mp4", "What is happening in this video?"]
     ]
 )
 
-# Launch the app
-if __name__ == "__main__":
-    iface.launch() 
+# Launch the app for Hugging Face Spaces
+iface.launch() 

requirements.txt

@@ -1,9 +1,9 @@
 gradio>=4.0.0
+requests>=2.31.0
+python-multipart>=0.0.6
 opencv-python
 pillow
 torch
 prismatic
 fastapi
-uvicorn
-python-multipart
-requests 
+uvicorn