Update app.py

app.py

@@ -1,12 +1,9 @@
 import gradio as gr
 import cv2
-# import pytesseract
 import numpy as np
 import datetime
 import random
 from fpdf import FPDF
-import os
-import threading
 import time
 
 # Quantum Simulation Logic
@@ -21,19 +18,15 @@ class QuantumSim:
     def evaluate_transaction(self):
         return random.choice(list(self.states.items()))
 
-# Computer Vision & OCR Agent
+# Computer Vision & Damage/Injury Detection
 class CVProcessor:
     def extract_vehicle_number(self, image_np):
-        if image_np is None:
-            return "No image provided"
-        gray = cv2.cvtColor(image_np, cv2.COLOR_BGR2GRAY)
-        text = pytesseract.image_to_string(gray)
-        return text.strip() or "Not detected"
+        # Bypass OCR
+        return "DL3CAB1234"  # Dummy number
 
     def detect_damage_severity(self, image_np):
         if image_np is None:
             return "No image provided"
-        # Simulate damage level detection
         damage_score = np.random.randint(1, 10)
         if damage_score > 7:
             return "Severe"
@@ -42,11 +35,6 @@ class CVProcessor:
         else:
             return "Minor"
 
-class CVProcessor:
-    def extract_vehicle_number(self, image):
-        # Bypass OCR for now
-        return "DL3CAB1234"  # Dummy number
-
     def detect_person_injury(self, image_np):
         if image_np is None:
             return "No image provided"
@@ -62,11 +50,11 @@ class InsuranceAgent:
 
     def simulate_live_camera_feed(self):
         print("[Agent] Watching live feed... analyzing frame by frame.")
-        for i in range(3):  # Simulate 3 frames for brevity
+        for i in range(3):  # Simulate 3 frames
             dummy_frame = np.ones((480, 640, 3), dtype=np.uint8) * np.random.randint(0, 255)
             report = self.process_frame(dummy_frame)
             self.reports.append(report)
-            time.sleep(2)  # Simulate a delay between frames
+            time.sleep(2)
 
     def process_frame(self, frame):
         vehicle_number = self.cv.extract_vehicle_number(frame)
@@ -89,6 +77,7 @@ class InsuranceAgent:
 
         self.generate_pdf_report(response)
         self.notify_services(response)
+        print("[Debug] Frame Processed:", response)
         return response
 
     def generate_pdf_report(self, data):
@@ -108,27 +97,27 @@ class InsuranceAgent:
         if data["IRDA Notified"] == "Yes":
             print("[IRDA] Fraud suspected. Penalty log initiated.")
 
-# Gradio UI for No-Ops Simulation
-if __name__ == "__main__":
-    agent = InsuranceAgent()
-
-    def start_agent_simulation():
-        agent.reports = []  # Clear previous reports
-        agent.simulate_live_camera_feed()
-        all_reports_text = ""
-        for i, report in enumerate(agent.reports):
-            all_reports_text += f"--- Report {i+1} ---\n"
-            for key, value in report.items():
-                all_reports_text += f"{key}: {value}\n"
-            all_reports_text += "\n"
-        return all_reports_text
-
-    with gr.Blocks() as iface:
-        gr.Markdown("# No-Ops AI Agent for Road Accident Management")
-        with gr.Column():
-            start_button = gr.Button("Start Agent Simulation")
-            report_output = gr.Textbox(label="Agent Activity and Reports")
-
-        start_button.click(start_agent_simulation, outputs=report_output)
-
-    iface.launch()
+# Gradio UI
+agent = InsuranceAgent()
+
+def start_agent_simulation():
+    print("[Debug] Starting simulation...")
+    agent.reports = []
+    agent.simulate_live_camera_feed()
+    all_reports_text = ""
+    for i, report in enumerate(agent.reports):
+        all_reports_text += f"--- Report {i+1} ---\n"
+        for key, value in report.items():
+            all_reports_text += f"{key}: {value}\n"
+        all_reports_text += "\n"
+    return all_reports_text
+
+with gr.Blocks() as iface:
+    gr.Markdown("# No-Ops AI Agent for Road Accident Management")
+    with gr.Column():
+        start_button = gr.Button("Start Agent Simulation")
+        report_output = gr.Textbox(label="Agent Activity and Reports", lines=20)
+
+    start_button.click(start_agent_simulation, outputs=report_output)
+
+iface.launch()