Update app.py

app.py

@@ -1,99 +1,65 @@
-import gradio as gr
-import openai
-import os
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
-# Initialize OpenAI
-try:
-    from openai import OpenAI
-    client = OpenAI(api_key=os.getenv("OPENAI_API_KEY").strip())
-    new_openai = True
-except ImportError:
-    openai.api_key = os.getenv("OPENAI_API_KEY").strip()
-    new_openai = False
-
 def analyze_text(text):
-    """Advanced forensic analysis with improved prompt and formatted output using GPT-3.5 Turbo"""
+    """Advanced forensic analysis with line-by-line proofs and modern conclusion"""
     if len(text.strip()) < 50:
         return "⚠️ Please provide at least 50 characters for accurate analysis."
     
-    # Optimized prompt for GPT-3.5 Turbo
+    # Enhanced prompt with line-by-line analysis requirement
     expert_prompt = f"""
     [ROLE]
-    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.
+    You are Dr. Lexica, a forensic linguistics expert specializing in AI/human text differentiation. Your task is to analyze the provided text line by line and determine its origin, providing specific proofs for each finding.
 
     [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.
+    1. Analyze each significant line/sentence showing either:
+       - "This can't be AI because..." with specific linguistic proof
+       - "This suggests AI because..." with specific markers
+    2. Provide line numbers or quote specific phrases
+    3. Include a modern conclusion about text origin uncertainty
+    4. Format output exactly as specified
 
     [REQUIRED OUTPUT FORMAT]
     # 🕵️‍♂️ Forensic Text Analysis Report
-    ## 🔍 Verdict
-    **Origin:** {{Human/AI/Inconclusive}}  
-    **Confidence Level:** {{XX%}}  
-    **Detection Score:** {{X/10}}
 
-    ## 📊 Key Indicators
-    🟢 **Human Markers Found:**  
-    - {{Marker 1}}  
-    - {{Marker 2}}  
+    ## 🔍 Line-by-Line Proofs
+    **Line X/Y:** "Quote specific text"
+    - 🟢 Human indicator: Explanation why this can't be AI-generated
+    - 🔴 AI indicator: Explanation why this is unlikely from human
 
-    🔴 **AI Markers Found:**  
-    - {{Marker 1}}  
-    - {{Marker 2}}  
+    (Repeat for each significant line)
 
-    ## 💡 Expert Conclusion
-    {{3-4 sentence conclusion summarizing the analysis}}
+    ## 📊 Final Assessment
+    **Verdict:** {{Human/AI/Uncertain}}  
+    **Confidence:** {{XX%}}  
+    **Score:** {{X/10}} (0=Human, 10=AI)
+
+    ## 💡 Modern Conclusion
+    In today's digital age, distinguishing AI from human text has become increasingly challenging. While my analysis suggests [VERDICT], this conclusion can be challenged because [REASON]. The boundaries between human and machine writing continue to blur, making absolute certainty impossible. My suggestion is based on current linguistic patterns, but new AI models may overcome these limitations.
     """
 
     try:
         if new_openai:
             response = client.chat.completions.create(
-                model="gpt-3.5-turbo",  # Changed to GPT-3.5 Turbo
+                model="gpt-3.5-turbo",
                 messages=[
-                    {"role": "system", "content": "You are a forensic text analysis AI."},
+                    {"role": "system", "content": "You are a forensic text analysis AI that provides specific proofs."},
                     {"role": "user", "content": expert_prompt}
                 ],
-                temperature=0.1,  # Low temperature for consistent output
-                max_tokens=500
+                temperature=0.1,
+                max_tokens=700  # Increased for detailed analysis
             )
             return response.choices[0].message.content
         else:
             response = openai.ChatCompletion.create(
-                model="gpt-3.5-turbo",  # Changed to GPT-3.5 Turbo
+                model="gpt-3.5-turbo",
                 messages=[
-                    {"role": "system", "content": "You are a forensic text analysis AI."},
+                    {"role": "system", "content": "You are a forensic text analysis AI that provides specific proofs."},
                     {"role": "user", "content": expert_prompt}
                 ],
                 temperature=0.1,
-                max_tokens=500
+                max_tokens=700
             )
             return response['choices'][0]['message']['content']
     except Exception as e:
-        return f"🔴 Analysis failed. Error: {str(e)}"
-
-# Create Gradio interface
-with gr.Blocks(theme=gr.themes.Soft(primary_hue="emerald")) as app:
-    gr.Markdown("""# 🔬 AI/Human Text Forensic Analyzer""")
-    
-    with gr.Row():
-        with gr.Column():
-            input_text = gr.Textbox(label="📝 Text to Analyze", lines=7)
-            analyze_btn = gr.Button("🧪 Analyze Text", variant="primary")
-        
-        with gr.Column():
-            output_text = gr.Markdown(label="📜 Analysis Report")
-    
-    analyze_btn.click(analyze_text, inputs=input_text, outputs=output_text)
-
-# Launch the app
-if __name__ == "__main__":
-    app.launch()
+        return f"🔴 Analysis failed. Error: {str(e)}"