one_button

analyzer.py

@@ -30,10 +30,21 @@ def combine_repo_files_for_llm(repo_dir="repo_files", output_file="combined_repo
                 file_path = os.path.join(root, file)
                 try:
                     with open(file_path, "r", encoding="utf-8") as f:
-                        combined_content.append(f"\n# File: {file_path}\n")
+                        combined_content.append(f"\n# ===== File: {file} =====\n")
                         combined_content.append(f.read())
                 except Exception as e:
                     combined_content.append(f"\n# Could not read {file_path}: {e}\n")
     with open(output_file, "w", encoding="utf-8") as out_f:
         out_f.write("\n".join(combined_content))
     return output_file
+
+def analyze_combined_file(output_file="combined_repo.txt"):
+    """
+    Reads the combined file and passes its contents to analyze_code, returning the LLM's output.
+    """
+    try:
+        with open(output_file, "r", encoding="utf-8") as f:
+            code = f.read()
+        return analyze_code(code)
+    except Exception as e:
+        return f"Error analyzing combined file: {e}"

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 import regex as re
 import csv
 import pandas as pd
-from analyzer import combine_repo_files_for_llm
+from analyzer import combine_repo_files_for_llm, analyze_combined_file
 from hf_utils import download_space_repo
 
 # from hf_utils import download_space_repo
@@ -42,20 +42,22 @@ def process_repo_input_and_store(text):
     df = pd.read_csv(csv_filename)
     return df
 
-def show_combined_repo():
+def show_combined_repo_and_llm():
     if not last_repo_ids:
-        return "No repo ID available. Please submit repo IDs first."
+        return "No repo ID available. Please submit repo IDs first.", ""
     first_repo_id = last_repo_ids[0]
     try:
         download_space_repo(first_repo_id, local_dir="repo_files")
     except Exception as e:
-        return f"Error downloading repo: {e}"
+        return f"Error downloading repo: {e}", ""
     txt_path = combine_repo_files_for_llm()
     try:
         with open(txt_path, "r", encoding="utf-8") as f:
-            return f.read()
+            combined_content = f.read()
     except Exception as e:
-        return f"Error reading {txt_path}: {e}"
+        return f"Error reading {txt_path}: {e}", ""
+    llm_output = analyze_combined_file(txt_path)
+    return combined_content, llm_output
 
 repo_id_input = gr.Textbox(label="Enter repo IDs (comma or newline separated)", lines=5, placeholder="repo1, repo2\nrepo3")
 df_output = gr.Dataframe(headers=["repo id", "strength", "weaknesses", "speciality", "relevance rating", "Usecase"])
@@ -69,8 +71,9 @@ with gr.Blocks() as demo:
 
     gr.Markdown("---")
     gr.Markdown("## Combine and Display Repo Files")
-    combine_btn = gr.Button("Download, Combine & Show .py/.md Files from First Repo")
+    combine_btn = gr.Button("Download, Combine & Show .py/.md Files from First Repo and Analyze")
     combined_txt = gr.Textbox(label="Combined Repo Files", lines=20)
-    combine_btn.click(show_combined_repo, inputs=None, outputs=combined_txt)
+    llm_output_txt = gr.Textbox(label="LLM Analysis Output", lines=10)
+    combine_btn.click(show_combined_repo_and_llm, inputs=None, outputs=[combined_txt, llm_output_txt])
 
 demo.launch()