remove: pdf code

app.py

@@ -7,9 +7,6 @@ from logic import LLMClient, CodeProcessor
 from batch_code_logic_csv import csv_read_batch_code
 import zipfile
 import io
-import markdown2
-import pdfkit
-import tempfile
 
 client = Groq(api_key=os.getenv("GROQ_API_KEY"))
 llm_obj = LLMClient(client)
@@ -51,36 +48,16 @@ if code_dict:
             st.markdown(markdown_output)
 
         timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
-
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".md") as tmp_md_file:
-            tmp_md_file.write(markdown_output.encode('utf-8'))
-            tmp_md_file_path = tmp_md_file.name
-
-        with open(tmp_md_file_path, "r") as md_file:
-            st.download_button(
-                label=f"Download {unique_key} Result as Markdown",
-                data=md_file,
-                file_name=f"code_analysis_{unique_key}_{timestamp}.md",
-                mime="text/markdown"
-            )
-
-        html_output = markdown2.markdown(markdown_output)
-        with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_pdf_file:
-            pdf_file_path = tmp_pdf_file.name
-            pdfkit.from_string(html_output, pdf_file_path)
-
-        with open(pdf_file_path, "rb") as pdf_file:
-            st.download_button(
-                label=f"Download {unique_key} Result as PDF",
-                data=pdf_file,
-                file_name=f"code_analysis_{unique_key}_{timestamp}.pdf",
-                mime="application/pdf"
-            )
+        st.download_button(
+            label=f"Download {unique_key} Result as Markdown",
+            data=markdown_output,
+            file_name=f"code_analysis_{unique_key}_{timestamp}.md",
+            mime="text/markdown"
+        )
 
     if st.sidebar.button("Batch Predict"):
         timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
         all_markdowns = {}
-
         for key, code_text in code_dict.items():
             markdown_output = processor.process_code(code_text, model_choice)
             all_markdowns[key] = markdown_output
@@ -88,30 +65,12 @@ if code_dict:
             with st.expander(f"Analysis for {key}"):
                 st.markdown(markdown_output)
 
-            with tempfile.NamedTemporaryFile(delete=False, suffix=".md") as tmp_md_file:
-                tmp_md_file.write(markdown_output.encode('utf-8'))
-                tmp_md_file_path = tmp_md_file.name
-
-            with open(tmp_md_file_path, "r") as md_file:
-                st.download_button(
-                    label=f"Download {key} Result as Markdown",
-                    data=md_file,
-                    file_name=f"code_analysis_{key}_{timestamp}.md",
-                    mime="text/markdown"
-                )
-
-            html_output = markdown2.markdown(markdown_output)
-            with tempfile.NamedTemporaryFile(delete=False, suffix=".pdf") as tmp_pdf_file:
-                pdf_file_path = tmp_pdf_file.name
-                pdfkit.from_string(html_output, pdf_file_path)
-
-            with open(pdf_file_path, "rb") as pdf_file:
-                st.download_button(
-                    label=f"Download {key} Result as PDF",
-                    data=pdf_file,
-                    file_name=f"code_analysis_{key}_{timestamp}.pdf",
-                    mime="application/pdf"
-                )
+            st.download_button(
+                label=f"Download {key} Result as Markdown",
+                data=markdown_output,
+                file_name=f"code_analysis_{key}_{timestamp}.md",
+                mime="text/markdown"
+            )
 
         zip_buffer = io.BytesIO()
         with zipfile.ZipFile(zip_buffer, "w") as zip_file:

requirements.txt

@@ -1,6 +1,4 @@
 groq
 streamlit
 pandas
-numpy
-pdfkit
-markdown2
+numpy