Update sscGPT.py

tools/sscGPT/sscGPT.py

@@ -308,45 +308,7 @@ def parse_html_to_text(html_content):
     if file is not None:
         content = file.read().decode("utf-8")
         content_lines = content.split("\n")
-        generated_text_chunks = []
-        for line in content_lines:
-            line = line.strip()
-            if ":" in line:
-                text_text = line.split(":", 1)[1].strip()
-                if text_text != "" and text_text != [""]:
-                    input_chunks = [
-                        content[i : i + 2500] for i in range(0, len(content), 2500)
-                    ]
-                for chunk in input_chunks:
-                    response = openai.Completion.create(
-                        engine="text-davinci-003",
-                        prompt=f"data = {chunk} {persona_text} do not print {chunk} directly. ",
-                        max_tokens=1024,
-                        n=1,
-                        stop=None,
-                        temperature=temperature,
-                    )
-        generated_text_chunks.append(response.choices[0].text.strip())
-        generated_text = "\n".join(generated_text_chunks)
-        st.write(generated_text)
-        if generated_text:
-            # Create a zip file to store the generated text
-            zip_file = io.BytesIO()
-            with zipfile.ZipFile(zip_file, mode="w") as zf:
-                zf.writestr(f"{file.name}.txt", generated_text)
-
-            # Provide a download button to download the zip file
-            st.download_button(
-                label="Download Generated Text",
-                data=zip_file.getvalue(),
-                file_name=f"{file.name}.zip",
-                mime="application/zip",
-            )
-
-            # Delete the zip file after download
-            os.remove(f"{file.name}.zip")
-        else:
-            st.warning("No text generated.")
+
 
 
 
@@ -459,35 +421,39 @@ def parse_html_to_text(html_content):
             mime="text/csv",
         )
     elif search_type == "File Upload":
-        with open(textdir, "r") as textfile:
-            st.json(results)
-        with open(jsondir, "w", encoding="UTF-8") as jsonout:
-            json.dump(results, jsonout)
-        df = pd.DataFrame(results["hits"])
-        df.to_csv(csvdir, index=False)
-        with open(textdir, "w", encoding="UTF-8") as textout:
-            for hit in results["hits"]:
-                for key, value in hit.items():
-                    textout.write(f"{key}: {value}\n")
-                    textout.write("\n")
-        with open(jsondir, "r", encoding="UTF-8") as file:
-            json_content = file.read()
-
-        json_button = st.download_button(
-            label="Download JSON",
-            data=json_content,
-            file_name=f"{query.replace(' ', '_')}.json",
-            mime="application/json",
-        )
-        with open(csvdir, "r", encoding="UTF-8") as file:
-            csv_content = file.read()
-
-        csv_button = st.download_button(
-            label="Download CSV",
-            data=csv_content,
-            file_name=f"{query.replace(' ', '_')}.csv",
-            mime="text/csv",
-        )
+        for line in content_lines:
+            line = line.strip()
+            for chunk in line:
+
+                with open(textdir, "r") as textfile:
+                    st.json(results)
+                with open(jsondir, "w", encoding="UTF-8") as jsonout:
+                    json.dump(results, jsonout)
+                df = pd.DataFrame(results["hits"])
+                df.to_csv(csvdir, index=False)
+                with open(textdir, "w", encoding="UTF-8") as textout:
+                    for hit in results["hits"]:
+                        for key, value in hit.items():
+                            textout.write(f"{key}: {value}\n")
+                            textout.write("\n")
+                with open(jsondir, "r", encoding="UTF-8") as file:
+                    json_content = file.read()
+
+                json_button = st.download_button(
+                    label="Download JSON",
+                    data=json_content,
+                    file_name=f"{query.replace(' ', '_')}.json",
+                    mime="application/json",
+                )
+                with open(csvdir, "r", encoding="UTF-8") as file:
+                    csv_content = file.read()
+
+                csv_button = st.download_button(
+                    label="Download CSV",
+                    data=csv_content,
+                    file_name=f"{query.replace(' ', '_')}.csv",
+                    mime="text/csv",
+                )
 
 persona_files = [f.split(".")[0] for f in os.listdir(personas) if f.endswith(".txt")]