Update app.py

app.py

@@ -111,44 +111,37 @@ def get_analysis_prompt(step_number, possible_reasons):
         step_number (int): The manufacturing step number being analyzed.
         possible_reasons (list): A list of possible delay reasons for this step.
     Returns:
-        str: A detailed analysis prompt tailored to the given step and reasons.
+        str: A robust analysis prompt tailored to the given step and reasons.
     """
     return f"""
-    You are an advanced AI expert system specialized in analyzing manufacturing processes to diagnose production delays. Your task is to analyze video footage from Step {step_number} of a tire manufacturing process, where a delay has been identified. Based on the visual evidence in the footage, determine the most accurate reason for the delay.
-
-    Task Context:
-    - Manufacturing Step: {step_number}
-    - Delay Detected: Yes
-    - Possible Reasons for Delay: {', '.join(possible_reasons)}
-
-    Required Analysis:
-    1. Carefully observe the video footage frame by frame to identify any visual cues of production interruptions or anomalies.
-    2. Compare the observed evidence with each potential reason for delay, focusing on specific visual indicators:
-        - If no technician or worker is visible in the footage, consider the possibility of absence as the delay reason.
-        - If a technician is present and actively interacting with materials (e.g., touching or adjusting layers), evaluate whether the interaction indicates an issue requiring manual intervention, such as repatching a misaligned tire layer.
-        - Look for machine pauses, material misalignment, missing components, or other visual signals suggesting equipment or procedural issues.
-    
-    Carefully observe the video for visual cues indicating production interruption.
-     If no person is visible in any of the frames, the reason probably might be due to his absence.
-     If a person is visible in the video and is observed touching and modifying the layers of the tire, it means there is a issue with tyre being patched hence he is repairing it.
-     Compare observed evidence against each possible delay reason.
-     Select the most likely reason based on visual evidence.
-    Output Requirements:
-    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.
-
-    Important:
-    - Base your analysis exclusively on observable evidence from the video.
-    - Avoid assumptions not supported by visual details.
+    You are an advanced AI expert system specialized in analyzing manufacturing processes to diagnose production delays. Your task is to analyze video footage from Step {step_number} of a tire manufacturing process, where a delay has been identified. Based on visual evidence in the footage, determine the most accurate reason for the delay.
+
+    ### Required Analysis:
+    1. Carefully observe the video for any signs of production interruptions or anomalies.
+    2. Compare observed evidence against the following potential delay reasons:
+        - If no technician or worker is visible in any frame, consider absence as a probable cause.
+        - If a technician is visible and interacting with materials, determine if:
+          - They are repairing an inner liner or sidewall, suggesting material damage or alignment issues.
+          - They are manually adjusting or repatching tire layers, indicating a procedural or equipment issue.
+        - Check for machine pauses, material misalignment, or missing components that could indicate equipment or process failures.
+        - Observe whether a technician is collecting or loading the carcass, as delays in this activity may signal inefficiencies or staffing issues.
+
+    ### Output Requirements:
+    Provide your analysis in the following structured format:
+    1. **Selected Reason**: [State the most likely reason from the given options]
+    2. **Visual Evidence**: [Describe key observations from the video that support the selected reason]
+    3. **Reasoning**: [Explain why this reason aligns best with the observed evidence]
+    4. **Alternative Analysis**: [Briefly outline why other possible reasons are less likely]
+
+    ### Important:
+    - Base your conclusions solely on observable evidence from the video.
+    - Focus on specific visual details rather than assumptions.
     - Clearly state if no conclusive evidence is found and recommend further investigation.
     """
 
 
 
+
 # Load model globally
 model, tokenizer = load_model()