Update app.py

theme and user questions

app.py

@@ -148,25 +148,72 @@ class Me:
 
     # Main chat function
     def chat(self, message, history):
-        messages = [{"role": "system", "content": self.system_prompt()}] + history + [{"role": "user", "content": message}]
-        done = False
-        while not done:
-            response = self.openai.chat.completions.create(
+        # 1. Correctly format the messages list from Gradio's history tuples.
+        messages = [{"role": "system", "content": self.system_prompt()}]
+        for user_msg, assistant_msg in history:
+            messages.append({"role": "user", "content": user_msg})
+            messages.append({"role": "assistant", "content": assistant_msg})
+        messages.append({"role": "user", "content": message})
+
+        # 2. First API call: The model decides if it needs a tool.
+        response = self.openai.chat.completions.create(
+            model="gemini-2.5-flash-preview-05-20",
+            messages=messages,
+            tools=tools
+        )
+
+        # 3. Check for a tool call.
+        if response.choices[0].finish_reason == "tool_calls":
+            message_with_tool_calls = response.choices[0].message
+            tool_calls = message_with_tool_calls.tool_calls
+
+            # 4. Execute the tool and get the result.
+            results = self.handle_tool_call(tool_calls)
+
+            # 5. Append the tool call and its output to the messages list.
+            messages.append(message_with_tool_calls)
+            messages.extend(results)
+
+            # 6. Second API call: Get the final, conversational response.
+            final_response = self.openai.chat.completions.create(
                 model="gemini-2.5-flash-preview-05-20",
-                messages=messages,
-                tools=tools
+                messages=messages
             )
-            if response.choices[0].finish_reason == "tool_calls":
-                message = response.choices[0].message
-                tool_calls = message.tool_calls
-                results = self.handle_tool_call(tool_calls)
-                messages.append(message)
-                messages.extend(results)
-            else:
-                done = True
-        return response.choices[0].message.content
+            return final_response.choices[0].message.content
+        else:
+            # If no tool call, return the direct response.
+            return response.choices[0].message.content
+
+
+# Custom CSS with your local image
+css_code = """
+div { 
+    background-image: url("file/Gemini_Generated.png");  /* Your local image */
+    background-size: cover;
+    background-position: center;
+    background-repeat: no-repeat;
+}
+
+.gradio-container {
+    background-color: rgba(255, 255, 255, 0.6);  /* Optional overlay for readability */
+}
+
+.chat-message.user {
+    background-color: rgba(208, 230, 255, 0.8);
+}
+
+.chat-message.bot {
+    background-color: rgba(224, 255, 224, 0.8);
+}
+"""
 
 # Launch Gradio interface
 if __name__ == "__main__":
     me = Me()
-    gr.ChatInterface(me.chat, type="messages").launch(share=True)
+    #gr.ChatInterface(me.chat, type="messages",theme="NoCrypt/miku",).launch(share=True)
+    gr.ChatInterface(
+        me.chat,
+        theme="NoCrypt/miku",
+        title="SnehaLeela's Careerbot",
+        #css=css_code
+    ).launch(share=True)