Update app.py

app.py

@@ -16,17 +16,24 @@ except ImportError:
     new_openai = False
 
 def analyze_text(text):
-    """Advanced forensic analysis with improved prompt and formatted output"""
+    """Advanced forensic analysis with improved prompt and formatted output using GPT-3.5 Turbo"""
     if len(text.strip()) < 50:
         return "⚠️ Please provide at least 50 characters for accurate analysis."
     
+    # Optimized prompt for GPT-3.5 Turbo
     expert_prompt = f"""
     [ROLE]
-    You are Dr. Lexica, a world-renowned forensic linguistics expert specializing in AI/human text differentiation with 25 years of experience.
+    You are Dr. Lexica, a forensic linguistics expert specializing in AI/human text differentiation. Your task is to analyze the provided text and determine if it was written by a human or generated by an AI, providing a clear verdict, confidence level, and specific indicators.
 
     [TEXT TO ANALYZE]
     {text}
 
+    [INSTRUCTIONS]
+    - Analyze linguistic patterns such as word choice, sentence structure, coherence, and stylistic nuances.
+    - Look for human markers (e.g., emotional tone, idiosyncratic phrasing, inconsistencies) and AI markers (e.g., formulaic patterns, overly polished language, predictable transitions).
+    - Provide a confidence level (0-100%) and a detection score (0-10, where 0 is human, 10 is AI).
+    - Format the output exactly as specified below.
+
     [REQUIRED OUTPUT FORMAT]
     # 🕵️‍♂️ Forensic Text Analysis Report
     ## 🔍 Verdict
@@ -44,24 +51,24 @@ def analyze_text(text):
     - {{Marker 2}}  
 
     ## 💡 Expert Conclusion
-    {{3-4 sentence conclusion}}
+    {{3-4 sentence conclusion summarizing the analysis}}
     """
 
     try:
         if new_openai:
             response = client.chat.completions.create(
-                model="gpt-4",
+                model="gpt-3.5-turbo",  # Changed to GPT-3.5 Turbo
                 messages=[
                     {"role": "system", "content": "You are a forensic text analysis AI."},
                     {"role": "user", "content": expert_prompt}
                 ],
-                temperature=0.1,
+                temperature=0.1,  # Low temperature for consistent output
                 max_tokens=500
             )
             return response.choices[0].message.content
         else:
             response = openai.ChatCompletion.create(
-                model="gpt-4",
+                model="gpt-3.5-turbo",  # Changed to GPT-3.5 Turbo
                 messages=[
                     {"role": "system", "content": "You are a forensic text analysis AI."},
                     {"role": "user", "content": expert_prompt}