Update app.py

app.py

@@ -2,11 +2,10 @@ import google.generativeai as genai
 import gradio as gr
 import numpy as np
 import PIL.Image
-import io
 
 genai.configure(api_key="AIzaSyAj-b3sO_wUguMdpXWScxKzMHxb8C5cels")
 
-def ImageChat(image, prompt):
+def ImageChat(image):
     # Check image file and convert to a PIL Image object
     if isinstance(image, np.ndarray):
         img = PIL.Image.fromarray(image)
@@ -50,17 +49,23 @@ def ImageChat(image, prompt):
             return "No valid response received. The response might have been blocked."
 
         # Apply rich formatting to the response
-        formatted_response = response.text.replace("\n", "\n\n")
+        formatted_response = response.text
+        for title in ["Trend Analysis", "Price Action", "Entry Point", "Exit Point", "Hold Conditions", "Risk Management", "Timeframe", "Profit Potential"]:
+            formatted_response = formatted_response.replace(title, f"**{title.upper()}**")
+        formatted_response = formatted_response.replace('\n', '\n\n')
+        formatted_response = re.sub(r"(\d+\.?\d*)", r"**\1**", formatted_response)
         return formatted_response
     except ValueError as e:
         return f"Error in generating response: {e}"
 
 app = gr.Interface(
     fn=ImageChat,
-    inputs=[gr.Image(label="Image"), gr.Text(label="Prompt")],
+    inputs=[gr.Image(label="Image")],
     outputs=gr.Text(label="Response"),
     title="Image Chat",
-    theme=gr.themes.Soft()
+    theme=gr.themes.Soft(),
+    live=False
 )
 
-app.launch()
+# Add a new button under the image frame named 'Analyze'
+app.launch(button_text="Analyze", bg_color="#26de81", text_color="#ffffff")