Update app.py

app.py

@@ -352,11 +352,13 @@ def speech_to_text(video_file_path, selected_source_lang, whisper_model, num_spe
         raise RuntimeError("Error Running inference with local model", e)
 
 
-def create_transcription_summary(openai_key, prompt):
+def create_transcription_summary(openai_key, prompt, transcript_result_path):
     openai.api_key = openai_key
     system_template = prompt
 
-    transcript_text = ""
+    with open(transcript_result_path, "r") as file:
+        transcript_text = file.read()
+
     completion = openai.ChatCompletion.create(
         model="gpt-3.5-turbo",
         messages=[
@@ -368,6 +370,14 @@ def create_transcription_summary(openai_key, prompt):
     return transcript_summary
 
 
+def transcription_summary_btn_click_callback():
+    openai_key = openai_key_in.value
+    prompt = openai_prompt_in.value
+    transcript_result_path = "output/transcript_result.csv"
+    transcript_summary = create_transcription_summary(openai_key, prompt, transcript_result_path)
+    transcription_summary_out.value = transcript_summary
+
+
 # ---- Gradio Layout -----
 # Inspiration from https://huggingface.co/spaces/RASMUS/Whisper-youtube-crosslingual-subtitles
 video_in = gr.Video(label="Video file", mirror_webcam=False)
@@ -463,6 +473,7 @@ with demo:
                 openai_key_in.render()
                 openai_prompt_in.render()
                 transcription_summary_btn = gr.Button("Evaluate and analyze transcription content")
+                transcription_summary_btn.click(transcription_summary_btn_click_callback)
                 transcription_summary_out.render()
                 system_info.render()
                 gr.Markdown(