Update app.py

app.py

@@ -106,57 +106,33 @@ def predict(prompt, video_data, temperature, model, tokenizer):
 
 def get_analysis_prompt(step_number, possible_reasons):
     """
-    Constructs the prompt for analyzing delay reasons based on the selected step.
+    Constructs a concise and robust prompt for analyzing delay reasons based on the selected manufacturing step.
     Args:
-        step_number (int): The manufacturing step number being analyzed.
+        step_number (int): The manufacturing step 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 tailored analysis prompt.
     """
     return f"""
-    You are a highly advanced AI expert system specialized in analyzing manufacturing processes to diagnose production delays. Your task is to review video footage from Step {step_number} of a tire manufacturing process, where a delay has been identified. Based on visual evidence, your objective is to determine the most accurate reason for the delay from the provided options.
-
-    ### Task Context:
-    - Manufacturing Step: {step_number}
-    - Delay Detected: Yes
-    - Possible Reasons for Delay: {', '.join(possible_reasons)}
+    You are an advanced AI system specializing in analyzing manufacturing processes. Your task is to review video footage from Step {step_number} of a tire manufacturing process and determine the cause of an observed delay.
 
     ### Required Analysis:
-    Carefully observe the video footage frame by frame, focusing on the following key areas to determine the cause of the delay:
-
-    1. **Technician Presence and Activity:**
-        - Verify whether a technician or worker is visible in the footage.
-        - If no technician is observed, the delay may be due to their absence.
-        - If a technician is visible, analyze their actions:
-            - If they are collecting or loading a carcass, ensure the process is efficient and within standard time limits.
-            - If they are observed repairing the inner liner or sidewall, this indicates material or application issues as the cause of the delay.
-
-    2. **Material or Process Anomalies:**
-        - Look for visible defects, such as misaligned layers, improperly applied materials, or damaged components.
-        - Check for any signs of manual intervention, such as a technician adjusting or repatching layers.
-        - Identify issues with the machine operation, such as pauses, misfeeds, or alignment problems.
-
-    3. **Equipment Functionality:**
-        - Detect if machinery is operating below standard speed, stopping unexpectedly, or failing to perform its task (e.g., applying materials, stitching).
-
-    4. **Process-Specific Observations:**
-        - Determine if the technician is waiting for materials, which may indicate supply chain interruptions.
-        - Check for excessive manual handling, which could signal inadequate automation or equipment failure.
+    1. Carefully observe the video to identify any visual cues indicating a delay.
+    2. If no technician is visible, absence might be the cause.
+    3. If a technician is present, analyze their actions:
+       - Are they handling or loading carcasses efficiently?
+       - Are they repairing the inner liner or sidewall?
+       - Are they adjusting components or fixing alignment issues?
+    4. Look for signs of material misalignment, damage, or excessive manual handling.
+    5. Identify any machine pauses, malfunctions, or inconsistencies in operation.
 
     ### Output Requirements:
-    Provide your analysis in the following structured format:
-    1. **Selected Reason**: [Clearly state the most likely reason for the delay from the given options.]
-    2. **Visual Evidence**: [Detail specific observations that support your conclusion, such as technician actions, material issues, or machine behavior.]
-    3. **Reasoning**: [Explain why this reason is most consistent with the evidence. Include links between specific observations and the identified delay reason.]
-    4. **Alternative Analysis**: [Summarize why other possible reasons are less likely, referencing specific observations or lack of evidence.]
-    5. **Recommendations**: [Provide actionable suggestions to resolve the delay cause, such as adjustments to machinery, improved training, or material quality checks.]
-
-    ### Important Considerations:
-    - Base your analysis strictly on observable evidence from the video.
-    - Do not make assumptions not supported by visual data.
-    - If the evidence is inconclusive, state this explicitly and suggest further investigative actions.
-
-    Note: Pay particular attention to technician interactions with the inner liner repairing, sidewall repairing, and carcass handling, as these are critical indicators of delay causes.
+    - **Selected Reason**: State the most likely delay cause.
+    - **Visual Evidence**: Describe specific observations supporting your conclusion.
+    - **Reasoning**: Explain why this reason aligns with the evidence.
+    - **Alternative Analysis**: Briefly note why other reasons are less likely.
+
+    Focus on visual evidence and avoid assumptions not supported by the footage.
     """