Update app.py

app.py

@@ -6,54 +6,29 @@ from dotenv import load_dotenv
 # Load environment variables
 load_dotenv()
 
-# Initialize OpenAI (compatible with both old and new versions)
+# Initialize OpenAI
 try:
-    # Try new OpenAI client first
     from openai import OpenAI
     client = OpenAI(api_key=os.getenv("OPENAI_API_KEY").strip())
     new_openai = True
 except ImportError:
-    # Fall back to old version
     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"""
+    if len(text.strip()) < 50:
+        return "⚠️ Please provide at least 50 characters for accurate analysis."
     
     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.
 
-    [ANALYSIS TASK]
-    Perform a comprehensive forensic analysis on the following text to determine its origin with maximum accuracy:
-
     [TEXT TO ANALYZE]
     {text}
 
-    [ANALYSIS FRAMEWORK]
-    1. **Stylometric Analysis**:
-       - Sentence structure complexity (human: varied, AI: uniform)
-       - Lexical sophistication (human: contextual, AI: textbook-like)
-       - Punctuation patterns (human: emotional, AI: formulaic)
-
-    2. **Cognitive Fingerprinting**:
-       - Presence of hedges ("maybe", "I think") → human
-       - Overconfidence markers ("clearly", "undoubtedly") → AI
-       - Personal anecdotes → human
-       - Generic statements → AI
-
-    3. **Semantic Forensics**:
-       - Metaphor density (human: 3-5 per 100 words, AI: 0-2)
-       - Contextual anchoring (human: specific references, AI: vague)
-       - Error patterns (human: typos, AI: semantic inconsistencies)
-
-    4. **Temporal Markers**:
-       - References to time/age (human: specific dates, AI: generic)
-       - Cultural references (human: nuanced, AI: stereotypical)
-
     [REQUIRED OUTPUT FORMAT]
     # 🕵️‍♂️ Forensic Text Analysis Report
-
     ## 🔍 Verdict
     **Origin:** {{Human/AI/Inconclusive}}  
     **Confidence Level:** {{XX%}}  
@@ -68,31 +43,16 @@ def analyze_text(text):
     - {{Marker 1}}  
     - {{Marker 2}}  
 
-    ## 🧐 Detailed Findings
-    ### 1️⃣ Stylometric Evidence
-    - {{Analysis point 1}}  
-    - {{Analysis point 2}}  
-
-    ### 2️⃣ Cognitive Patterns
-    - {{Analysis point 1}}  
-    - {{Analysis point 2}}  
-
-    ### 3️⃣ Semantic Fingerprints
-    - {{Analysis point 1}}  
-    - {{Analysis point 2}}  
-
     ## 💡 Expert Conclusion
-    {{3-4 sentence authoritative conclusion with final determination. Highlight any interesting nuances or exceptional cases.}}
-
-    ⚠️ **Disclaimer:** This analysis has {{confidence}}% accuracy based on current forensic linguistics models.
+    {{3-4 sentence conclusion}}
     """
 
     try:
         if new_openai:
             response = client.chat.completions.create(
-                model="gpt-4",  # Changed to GPT-4
+                model="gpt-4",
                 messages=[
-                    {"role": "system", "content": "You are a forensic text analysis AI specializing in detecting AI-generated content with extreme precision."},
+                    {"role": "system", "content": "You are a forensic text analysis AI."},
                     {"role": "user", "content": expert_prompt}
                 ],
                 temperature=0.1,
@@ -101,9 +61,9 @@ def analyze_text(text):
             return response.choices[0].message.content
         else:
             response = openai.ChatCompletion.create(
-                model="gpt-4",  # Changed to GPT-4
+                model="gpt-4",
                 messages=[
-                    {"role": "system", "content": "You are a forensic text analysis AI specializing in detecting AI-generated content with extreme precision."},
+                    {"role": "system", "content": "You are a forensic text analysis AI."},
                     {"role": "user", "content": expert_prompt}
                 ],
                 temperature=0.1,
@@ -113,4 +73,20 @@ def analyze_text(text):
     except Exception as e:
         return f"🔴 Analysis failed. Error: {str(e)}"
 
-# Rest of your Gradio interface remains the same...
+# 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()