button

analyzer.py

@@ -17,3 +17,23 @@ def analyze_code(code: str) -> str:
         temperature=0.7
     )
     return response.choices[0].message["content"]
+
+def combine_repo_files_for_llm(repo_dir="repo_files", output_file="combined_repo.txt"):
+    """
+    Combines all .py and .md files in the given directory (recursively) into a single text file.
+    Returns the path to the combined file.
+    """
+    combined_content = []
+    for root, _, files in os.walk(repo_dir):
+        for file in files:
+            if file.endswith(".py") or file.endswith(".md"):
+                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.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

app.py

@@ -2,6 +2,9 @@ import gradio as gr
 import regex as re
 import csv
 import pandas as pd
+from analyzer import combine_repo_files_for_llm
+from hf_utils import download_space_repo
+
 # from hf_utils import download_space_repo
 
 def process_repo_input(text):
@@ -20,11 +23,54 @@ def process_repo_input(text):
     df = pd.read_csv(csv_filename)
     return df
 
-demo = gr.Interface(
-    fn=process_repo_input,
-    inputs=gr.Textbox(label="Enter repo IDs (comma or newline separated)", lines=5, placeholder="repo1, repo2\nrepo3"),
-    outputs=gr.Dataframe(headers=["repo id", "strength", "weaknesses", "speciality", "relevance rating"]),
-    title="Repo ID Input",
-    description="Enter repo IDs separated by commas or new lines."
-)
+# Store the last entered repo ids in a global variable for button access
+last_repo_ids = []
+
+def process_repo_input_and_store(text):
+    global last_repo_ids
+    if not text:
+        last_repo_ids = []
+        return pd.DataFrame(columns=["repo id", "strength", "weaknesses", "speciality", "relevance rating"])
+    repo_ids = [repo.strip() for repo in re.split(r'[\n,]+', text) if repo.strip()]
+    last_repo_ids = repo_ids
+    csv_filename = "repo_ids.csv"
+    with open(csv_filename, mode="w", newline='', encoding="utf-8") as csvfile:
+        writer = csv.writer(csvfile)
+        writer.writerow(["repo id", "strength", "weaknesses", "speciality", "relevance rating"])
+        for repo_id in repo_ids:
+            writer.writerow([repo_id, "", "", "", ""])
+    df = pd.read_csv(csv_filename)
+    return df
+
+def show_combined_repo():
+    if not last_repo_ids:
+        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}"
+    txt_path = combine_repo_files_for_llm()
+    try:
+        with open(txt_path, "r", encoding="utf-8") as f:
+            return f.read()
+    except Exception as e:
+        return f"Error reading {txt_path}: {e}"
+
+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"])
+
+with gr.Blocks() as demo:
+    gr.Markdown("## Repo ID Input")
+    repo_id_box = repo_id_input.render()
+    df_box = df_output.render()
+    submit_btn = gr.Button("Submit Repo IDs")
+    submit_btn.click(process_repo_input_and_store, inputs=repo_id_box, outputs=df_box)
+
+    gr.Markdown("---")
+    gr.Markdown("## Combine and Display Repo Files")
+    combine_btn = gr.Button("Download, Combine & Show .py/.md Files from First Repo")
+    combined_txt = gr.Textbox(label="Combined Repo Files", lines=20)
+    combine_btn.click(show_combined_repo, inputs=None, outputs=combined_txt)
+
 demo.launch()

hf_utils.py

@@ -2,7 +2,7 @@ from huggingface_hub import snapshot_download
 import os
 import shutil
 
-def download_space_repo(space_id: str, local_dir: str = "space_repo"):
+def download_space_repo(space_id: str, local_dir: str = "repo_files"):
     """
     Downloads all files from a Hugging Face Space repository.
 

requirements.txt

@@ -1,4 +1,5 @@
 gradio
 pandas
 openai
-regex
+regex
+huggingface_hub