Update app.py

app.py

@@ -134,31 +134,17 @@ def get_analysis_prompt(step_number, possible_reasons):
             - Are they repairing the inner liner or sidewall? This indicates an issue with material application or alignment.
             - Are they manually adjusting components or reworking parts? This suggests equipment malfunction or material misalignment.
 
-    #### Material and Process Observations:
-    - Identify signs of material defects such as:
-        - **Misaligned layers**: Visualize if any tire layer is improperly positioned.
-        - **Damaged materials**: Check for tears, wrinkles, or missing parts.
-        - **Incomplete processes**: Confirm whether all steps were executed correctly (e.g., liner application, bead insertion).
-    - Look for excessive manual handling, which might indicate inadequate machine performance.
-
-    #### Equipment and Machine Performance:
-    - Evaluate machine operation for:
-        - Pauses, stutters, or complete stoppages.
-        - Improper alignment during automatic processes.
-        - Speed inconsistencies compared to the standard time.
-
     #### Task-Specific Indicators:
     - **Carcass Handling**: Ensure technicians are promptly collecting and loading carcasses when required.
     - **Inner Liner Repair**: Note if technicians are involved in patching or reapplying the inner liner.
     - **Sidewall Repair**: Identify if technicians are working to fix damaged or misaligned sidewalls.
 
-    ### Output Requirements:
-    Your analysis must be detailed and structured in the following format:
-    1. **Selected Reason**: [State the most likely reason for the delay from the provided options.]
-    2. **Visual Evidence**: [Describe specific frames, activities, or anomalies that support your conclusion.]
-    3. **Reasoning**: [Provide a thorough explanation linking visual observations to the selected reason.]
-    4. **Alternative Analysis**: [Explain why other reasons are less likely, citing specific evidence or its absence.]
-    5. **Recommendations**: [Suggest corrective actions to address the identified delay cause, such as equipment maintenance, technician training, or material quality checks.]
+    Please provide your analysis in the following format:
+    1. Selected Reason: [State the most likely reason from the given options]
+    2. Visual Evidence: [Describe specific visual cues that support your selection]
+    3. Reasoning: [Explain why this reason best matches the observed evidence]
+    4. Alternative Analysis: [Brief explanation of why other possible reasons are less likely]
+    Important: Base your analysis solely on visual evidence from the video. Focus on concrete, observable details rather than assumptions. Clearly state if no person or specific activity is observed.
 
     ### Key Considerations:
     - **Observe Frame-by-Frame**: Carefully analyze each frame to capture subtleties, such as technician actions, material defects, or machine behavior.
@@ -167,7 +153,7 @@ def get_analysis_prompt(step_number, possible_reasons):
 
     ### Note:
     - Prioritize identifying technician involvement in carcass handling, inner liner, or sidewall repair, as these are critical delay causes.
-    - Highlight any deviation from expected machine or process performance.
+
     """