Create app.py

app.py

@@ -0,0 +1,24 @@
+import google.generativeai as genai
+import gradio as gr
+from transformers import pipeline
+from langdetect import detect
+
+
+api_key = "AIzaSyCmmus8HFPLXskU170_FR4j2CQeWZBKGMY"
+
+model = genai.GenerativeModel('gemini-pro-vision')
+genai.configure(api_key = api_key)
+
+def pipeline(img):
+    try:
+        return score = model.generate_content(content=[f"Describe any damage (broken furniture, stains, etc.) in the given image. Also give the cost (in INR) for every damage sustained. Image: ", img])
+    except Exception:
+        return "No damage sustained"
+        
+iface = gr.Interface(
+    fn = pipeline,
+    inputs = gr.Image(label="Room Image", sources=['upload'], type="pil"),
+    outputs = ["text"]
+)
+
+iface.launch()