Update app.py

app.py

@@ -7,52 +7,78 @@ agent = CodeAgent(
     model=HfApiModel(model_id="Qwen/Qwen2.5-Coder-32B-Instruct"),
 )
 
-def analyze_content(file_paths):
-    """Process files and generate comprehensive report"""
+def analyze_content(file_paths, progress=gr.Progress()):
+    """Process files and generate comprehensive report with progress tracking"""
+    progress(0, desc="Starting analysis...")
     full_content = []
     
-    for path in file_paths:
+    # Read files with progress
+    for i, path in enumerate(file_paths):
+        progress(i/len(file_paths), f"Reading {path.split('/')[-1]}...")
         try:
             with open(path, 'r', encoding='utf-8') as f:
                 content = f.read()
-                full_content.append(f"--- {path.split('/')[-1]} ---\n{content}")
+                full_content.append(f"## {path.split('/')[-1]}\n{content}\n")
         except Exception as e:
             return f"Error processing {path}: {str(e)}"
-    
+
+    # Generate report with progress
+    progress(0.8, "Analyzing content with AI...")
     report = agent.run(f"""
     Analyze these documents and create a detailed report:
     
-    {''.join(full_content)[:10000]}  # First 10k characters
+    {"".join(full_content)[:10000]}
     
-    Report should include:
-    1. Key themes and patterns
-    2. Important relationships
-    3. Contextual insights
-    4. Actionable recommendations
+    Report structure:
+    1. Executive Summary
+    2. Key Findings
+    3. Important Patterns
+    4. Recommendations
     
-    Use professional markdown formatting with headings.
+    Use professional markdown formatting with headings and bullet points.
     """)
     
+    progress(1.0, "Analysis complete!")
     return report
 
 with gr.Blocks() as demo:
-    gr.Markdown("# Document Analysis System")
+    gr.Markdown("# Professional Document Analyzer")
     
     with gr.Row():
-        file_input = gr.File(
-            file_count="multiple",
-            file_types=[".txt"],
-            label="Upload Documents"
-        )
-        process_btn = gr.Button("Generate Report", variant="primary")
-    
-    report_output = gr.Markdown(label="Analysis Report")
+        with gr.Column(scale=1):
+            file_input = gr.File(
+                file_count="multiple",
+                file_types=[".txt"],
+                label="Upload Documents"
+            )
+            process_btn = gr.Button("Generate Report", variant="primary")
+            status = gr.Textbox(label="Processing Status", interactive=False)
+        
+        with gr.Column(scale=2, variant="panel"):
+            gr.Markdown("## Analysis Report")
+            report_output = gr.Markdown(
+                elem_classes="report-box",
+                label="",
+                show_label=False
+            )
 
-    process_btn.click(
-        fn=analyze_content,
+    @process_btn.click(
         inputs=file_input,
-        outputs=report_output
+        outputs=[status, report_output]
     )
+    def process_files(files):
+        if not files:
+            return "No files uploaded", ""
+        
+        file_paths = [f.name for f in files]
+        
+        def update_progress(progress):
+            return lambda p: progress(p)
+        
+        return (
+            gr.Progress().track() |  # Progress indicator
+            analyze_content(file_paths)
+        )
 
 if __name__ == "__main__":
     demo.launch(