Update app.py

app.py

@@ -1,35 +1,15 @@
-import google.generativeai as genai
 import gradio as gr
-import numpy as np
-import PIL.Image
-
-genai.configure(api_key="AIzaSyA7tPavobVN5_3-BJ0qhFT5HVjO4V19QWk")
-
-def ImageChat(image):
-
-  # load model
-  model = genai.GenerativeModel("gemini-1.5-flash")
-
-  # check image file and convert to a Numpy array
-  if isinstance(image, np.ndarray):
-
-        img = PIL.Image.fromarray(image)
-  else:
-        img = PIL.Image.open(image)
-
-  response =  model.generate_content(["write a short story about the image", img])
-
-  return response.text
-
-
-app = gr.Interface(ImageChat,
-                   inputs = gr.Image(label = "Image"),
-                   outputs = gr.Text(label = "Story"),
-                   examples = ["rubiks cube.jpg","giraffe.jpg","street.jpg"],
-                   title = "Image-To-Story",
-                   theme = "patrickosornio/my_theme1")
-
-
-app.launch()
-
-
+import groq_gradio
+import os
+
+os.environ["GROQ_API_KEY"] = "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"
+gr.load(
+    name = "llama-3.2-3b-preview",
+    src = groq_gradio.registry,
+    title = "Groq-Gradio Chat",
+    theme =  "ParityError/LimeFace",
+    examples = ["Tell me a short story about a puppy",
+                "Write a 14 line poem about travelling in Shakespeare style",
+                "What are the wonders of the world?",
+                "List the countries in Africa and their capitals"]
+).launch()