Update app.py

app.py

@@ -14,11 +14,11 @@ execute_firecrawl = firecrawler.FireCrawlTool()
 
 
 agent = CodeAgent(
-    tools=[execute_firecrawl], model=HfApiModel("meta-llama/Llama-3.3-70B-Instruct"), max_steps=4
+    tools=[execute_firecrawl], model=HfApiModel("meta-llama/Llama-3.3-70B-Instruct"), max_steps=10
 )
 
 
-def get_answer(url):
+def get_answer(url, text):
     """
     A function that takes any question as input and returns the answer using agent.run()
     
@@ -28,8 +28,48 @@ def get_answer(url):
     Returns:
         str: The answer to the question
     """
-    answer = agent.run(url)
-    answer = answer
+    answer = agent.run(f'''
+    You are a scam detection expert helping users evaluate suspicious online activities. When a user submits a URL and description, follow these steps carefully:
+
+    STEP 1: URL ANALYSIS
+    - Examine: {url}
+    - Check for technical red flags:
+      * Misspellings or character substitutions in domain names
+      * Suspicious TLDs (.xyz, unusual country codes)
+      * Recently registered domains
+      * HTTP instead of HTTPS
+      * URL shorteners or redirects
+      * Subdomains that mimic legitimate brands
+    - Check for contextual red flags:
+      * Mismatch between URL and purported organization
+      * URLs claiming to represent government/financial institutions
+      * Presence of random strings or numbers
+
+    STEP 2: SITUATION ASSESSMENT
+    - Review user's description: {text}
+    - Identify scam patterns:
+      * Urgency or pressure tactics mentioned
+      * Requests for personal/financial information
+      * Unexpected money/prize offers
+      * Unsolicited contact methods
+      * Requests to download files or install software
+      * Claims requiring immediate action to avoid penalties
+
+    STEP 3: CORRELATION ANALYSIS
+    - Connect the URL analysis with the user's description
+    - Identify inconsistencies or alignment between the two
+    - Determine the likely scam category (phishing, advance fee, tech support, etc.)
+
+    STEP 4: ACTIONABLE GUIDANCE
+    - Provide clear risk assessment (High/Medium/Low)
+    - Recommend specific protective actions based on the scenario
+    - Suggest reporting mechanisms if applicable (FTC, IC3, company fraud departments)
+    - Offer general education about this specific type of scam
+    - Explain what legitimate alternatives would look like
+
+    Always prioritize user safety. If uncertain, err on the side of caution.'''
+        )
+   
     print("Final output:")
     print(answer)
     return answer
@@ -52,8 +92,8 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as demo:
     with gr.Row():
         with gr.Column(scale=1, min_width=300):
             #input_image =  gr.Image(label="Upload a suspicious screenshot (email, text message, advertisement etc)", type="pil")
-            #input_text = gr.Textbox(label="Description", info="Please describe your concerns regarditng the situation",lines=3,value="On Monday the 5th of April...")
-            input_url = gr.Textbox(label="URLs", info="Please enter a suspicious URL",lines=3,value="http://www.suspicious.xyz")
+            input_url = gr.Textbox(label="Description", info="Please describe your concerns regarditng the situation",lines=3,value="On Monday the 5th of April...")
+            input_text = gr.Textbox(label="URLs", info="Please enter a suspicious URL",lines=3,value="http://www.suspicious.xyz")
             btn = gr.Button("Process submission")