Update app.py

app.py

@@ -36,59 +36,19 @@ departments = {
 }
 
 # ======================================================
-# TEST EXAMPLES (NON-INTRUSIVE — DOES NOT CHANGE LLM)
+# TEST EXAMPLES
 # ======================================================
 
 examples = [
-    [
-        "Ali Ben Salah",
-        "production",
-        "Packaging machine #4 stopped. Production is blocked. Need urgent maintenance support.",
-        None,
-        "administration",
-        True,
-        "High"
-    ],
-    [
-        "Sara Trabelsi",
-        "magazine",
-        "Need content approval and printing coordination before tomorrow’s issue.",
-        None,
-        "administration",
-        True,
-        "Medium"
-    ],
-    [
-        "Mohamed Kefi",
-        "administration",
-        "Requesting budget validation for new raw materials purchase.",
-        None,
-        "production",
-        True,
-        "Medium"
-    ],
-    [
-        "Ines Haddad",
-        "production",
-        "Quality defect rate increased to 7%. Root cause investigation required.",
-        None,
-        "administration",
-        False,
-        "High"
-    ],
-    [
-        "Karim Jaziri",
-        "magazine",
-        "Vendor delayed magazine printing. Need backup supplier urgently.",
-        None,
-        "administration",
-        True,
-        "High"
-    ],
+    ["Ali Ben Salah", "production", "Packaging machine #4 stopped. Production is blocked. Need urgent maintenance support.", None, "administration", True, "High"],
+    ["Sara Trabelsi", "magazine", "Need content approval and printing coordination before tomorrow’s issue.", None, "administration", True, "Medium"],
+    ["Mohamed Kefi", "administration", "Requesting budget validation for new raw materials purchase.", None, "production", True, "Medium"],
+    ["Ines Haddad", "production", "Quality defect rate increased to 7%. Root cause investigation required.", None, "administration", False, "High"],
+    ["Karim Jaziri", "magazine", "Vendor delayed magazine printing. Need backup supplier urgently.", None, "administration", True, "High"]
 ]
 
 # ======================================================
-# YOUR ORIGINAL FUNCTIONS BELOW (UNCHANGED)
+# ORIGINAL FUNCTIONS (UNCHANGED)
 # ======================================================
 
 def update_report_email(new_email):
@@ -133,117 +93,45 @@ def send_email_brevo_api(to_email, subject, html_content, from_name="AI Coordina
         return f"❌ Email error: {str(e)}"
 
 def analyze_coordination_needs(user_message, department, user_name, image=None):
-    """Use LLM to analyze coordination needs and suggest actions - with image support"""
-    
     if image:
-        # Convert image to base64 for vision model
         buffered = io.BytesIO()
         image.save(buffered, format="PNG")
         img_base64 = base64.b64encode(buffered.getvalue()).decode()
-        
-        prompt = f"""As a helpful coordination assistant, analyze this request from {user_name} in the {department} department along with the attached image. 
-
-Please provide clear, practical advice in plain English that's easy for anyone to understand.
-
-REQUEST DETAILS:
-- Department: {department}
-- Requestor: {user_name}  
-- Message: {user_message}
-
-Please analyze both the text and image to provide helpful guidance about:
-
-1. Which teams need to be involved
-2. What specific steps should be taken next
-3. Any important information from the image
-4. What priority this request should have
-5. What follow-up might be needed
-
-Please format your response in a friendly, conversational way that's easy to read and act upon."""
-
+        prompt = f"""As a helpful coordination assistant, analyze this request from {user_name} in the {department} department along with the attached image. REQUEST: {user_message}"""
         try:
             response = requests.post(
                 "https://openrouter.ai/api/v1/chat/completions",
-                headers={
-                    "Authorization": f"Bearer {OPENROUTER_API_KEY}",
-                    "Content-Type": "application/json",
-                },
+                headers={"Authorization": f"Bearer {OPENROUTER_API_KEY}", "Content-Type": "application/json"},
                 json={
-                    "model": "google/gemma-3-27b-it:free",  # Vision model
-                    "messages": [
-                        {
-                            "role": "user", 
-                            "content": [
-                                {
-                                    "type": "text",
-                                    "text": prompt
-                                },
-                                {
-                                    "type": "image_url",
-                                    "image_url": {
-                                        "url": f"data:image/png;base64,{img_base64}"
-                                    }
-                                }
-                            ]
-                        }
-                    ],
-                    "temperature": 0.3
+                    "model": "google/gemma-3-27b-it:free",
+                    "messages": [{"role":"user","content":[{"type":"text","text":prompt},{"type":"image_url","image_url":{"url":f"data:image/png;base64,{img_base64}"}}]}],
+                    "temperature":0.3
                 },
                 timeout=60
             )
-            
             if response.status_code == 200:
                 data = response.json()
                 return data["choices"][0]["message"]["content"]
             else:
-                return "I'm having trouble analyzing the image right now. Please try again in a moment."
-                
+                return "I'm having trouble analyzing the image right now. Please try again later."
         except Exception as e:
-            return f"Sorry, I couldn't process the image. Error: {str(e)}"
-    
+            return f"Error: {str(e)}"
     else:
-        # Text-only analysis
-        prompt = f"""As a helpful coordination assistant, analyze this request from {user_name} in the {department} department.
-
-Please provide clear, practical advice in plain English that's easy for anyone to understand.
-
-REQUEST DETAILS:
-- Department: {department}
-- Requestor: {user_name}  
-- Message: {user_message}
-
-Please provide helpful guidance about:
-- Which teams need to be involved
-- What specific steps should be taken next  
-- What priority this request should have
-- What follow-up might be needed
-
-Please format your response in a friendly, conversational way that's easy to read and act upon. Avoid technical jargon and use bullet points or simple sections to organize your thoughts."""
-
+        prompt = f"As a helpful coordination assistant, analyze this request from {user_name} in the {department} department. REQUEST: {user_message}"
         try:
             response = requests.post(
                 "https://openrouter.ai/api/v1/chat/completions",
-                headers={
-                    "Authorization": f"Bearer {OPENROUTER_API_KEY}",
-                    "Content-Type": "application/json",
-                },
-                json={
-                    "model": "google/gemma-3-27b-it:free",
-                    "messages": [{"role": "user", "content": prompt}],
-                    "temperature": 0.3
-                },
+                headers={"Authorization": f"Bearer {OPENROUTER_API_KEY}", "Content-Type": "application/json"},
+                json={"model": "google/gemma-3-27b-it:free", "messages":[{"role":"user","content":prompt}],"temperature":0.3},
                 timeout=30
             )
-            
             if response.status_code == 200:
                 data = response.json()
                 return data["choices"][0]["message"]["content"]
             else:
-                return "I'm having trouble analyzing your request right now. Please try again in a moment."
-                
+                return "I'm having trouble analyzing your request right now. Please try again later."
         except Exception as e:
-            return f"Sorry, I couldn't process your request. Error: {str(e)}"
-
-# ... The rest of your original functions (send_department_email, send_email_report, add_to_conversation_history, process_coordination_request, etc.) remain unchanged ...
+            return f"Error: {str(e)}"
 
 # ======================================================
 # GRADIO UI
@@ -255,26 +143,22 @@ with gr.Blocks(theme=gr.themes.Soft(), title="AI Coordination System") as ui:
 
     with gr.Row():
         with gr.Column(scale=1):
-            # Form Inputs
             name_input = gr.Textbox(label="Your Name", placeholder="Enter your full name")
             department_dropdown = gr.Dropdown(choices=["administration", "production", "magazine"], label="Your Department")
-            message_input = gr.Textbox(label="What do you need help with?", lines=4, placeholder="Describe your request")
+            message_input = gr.Textbox(label="What do you need help with?", lines=4)
             image_input = gr.Image(label="📷 Attach Image (Optional)", type="pil")
             recipient_dropdown = gr.Dropdown(choices=["administration", "production", "magazine"], label="Notify Department")
-            urgency_dropdown = gr.Dropdown(choices=["Normal", "Medium", "High"], value="Normal", label="Priority Level")
+            urgency_dropdown = gr.Dropdown(choices=["Normal","Medium","High"], value="Normal", label="Priority Level")
             send_email_checkbox = gr.Checkbox(label="Send email notification", value=True)
-
+            
             submit_btn = gr.Button("🚀 Get Coordination Help", variant="primary")
             output = gr.Textbox(lines=18, label="Recommended Actions", show_copy_button=True)
 
-            # ======================================================
-            # EXAMPLES COMPONENT
-            # ======================================================
+            # ✅ WORKING EXAMPLES
             gr.Markdown("### 🧪 Quick Test Examples")
             gr.Examples(
                 examples=examples,
-                inputs=[name_input, department_dropdown, message_input, image_input, recipient_dropdown, send_email_checkbox, urgency_dropdown],
-                label="Click an example to auto-fill the form and test the workflow"
+                inputs=[name_input, department_dropdown, message_input, image_input, recipient_dropdown, send_email_checkbox, urgency_dropdown]
             )
 
 if __name__ == "__main__":